Qingwei Lin 林庆维

Partner Research Manager

出版物

表示方法:

- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication プロジェクト
- GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
  
  Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin 林庆维, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
  
  NeurIPS 2025 | June 2025
  
  Publication プロジェクトプロジェクト
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  
  Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, 巻abs/2504.14603
  
  DOI Publication Publication プロジェクトプロジェクト
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- API Agents vs. GUI Agents: Divergence and Convergence
  
  Chaoyun Zhang, Shilin He, Liqun Li, Si Qin, Yu Kang, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | March 2025, 巻abs/2503.11069
  
  DOI Publication Publication プロジェクトプロジェクト
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  February 2025
  
  Publication
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.18460
  
  DOI Publication Publication プロジェクト
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.16050
  
  DOI Publication Publication プロジェクト
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.13699
  
  DOI Publication Publication プロジェクト
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, 巻abs/2411.18279
  
  DOI Publication Publication プロジェクト
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP'24 | November 2024
  
  Preprint
- Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
  
  Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin 林庆维, Murali Chintalapati, Dongmei Zhang
  
  SOCC'24 | November 2024
  
  Publication Publication
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
  
  Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
  
  Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI'25 | October 2024
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  
  Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ACL'24 Findings | August 2024
  
  Publication
- Large Language Models Can Provide Accurate and Interpretable Incident Triage
  
  Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | August 2024
  
  Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  Foundations of Software Engineering (FSE) | July 2024
  
  DOI Publication
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
  
  Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
  
  July 2024
  
  Preprint
  
  Preprint
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE'24 Industry Track | July 2024
  
  Publication Publication
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint プロジェクトプロジェクト
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  
  Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
  
  TheWebConf'24 | February 2024
  
  DOI Publication
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  ..., Qingwei Lin 林庆维, ...
  
  December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- TaskWeaver: A Code-First Agent Framework
  
  Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | November 2023, 巻abs/2311.04254
  
  DOI Publication Publication
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 2023
  
  Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
  
  Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
  
  ACL 2023 | July 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN'23 | June 2023
  
  Publication
- WizardCoder: Empowering Code Large Language Models with Evol-Instruct
  
  Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang (姜大昕)
  
  ICLR 2024 | June 2023
  
  DOI PDF
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 Companion | April 2023
  
  Publication
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
  
  NSDI | April 2023
  
  Publication プロジェクトプロジェクト
- Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
  
  Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ASPLOS'23 | March 2023
  
  Publication
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication プロジェクトプロジェクト
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'22 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, ..., Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication プロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
  
  Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクトプロジェクト
- Search-based Diverse Sampling from Real-world Software Product Lines
  
  Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクト
- A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
  
  Kai Yan, ..., Qingwei Lin 林庆维, ...
  
  NeurIPS 2021 | December 2021
  
  Publication プロジェクト
- On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
  
  Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
  
  IJCAI 2021 | December 2021
  
  Publication プロジェクト
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD'21 Applied Data Science Track | October 2021
  
  Publication PDF プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI プロジェクトプロジェクト
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
  
  Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  SIGIR 2021 | June 2021
  
  Publication プロジェクト
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
  
  Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, ..., Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- AutoCCAG: An Automated Approach to Constrained Covering Array Generation
  
  Chuan Luo, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2021 | January 2021
  
  Publication プロジェクト
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI プロジェクト
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE'20 | November 2020
  
  DOI Publication プロジェクト
- How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
  
  Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Towards intelligent incident management: why we need it and how we make it
  
  Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, ..., Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Efficient Customer Issue Triage via Linking with System Incidents
  
  Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2020 Industry | October 2020
  
  Publication
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI'20 | February 2020
  
  Publication
- AIOps Innovations in Incident Management for Cloud Services
  
  Zhuangbin Chen, ..., Qingwei Lin 林庆维
  
  Cloud Intelligence Workshop, AAAI'20 | February 2020
  
  Publication
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, ..., Qingwei Lin 林庆维, ...
  
  ASE'19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, ...
  
  ICDM'19 | October 2019
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
  
  Jinkun Lin, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, ..., Qingwei Lin, ...
  
  IJCAI'19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC'19 | July 2019
  
  PDF Publication
- AIOps: Real-World Challenges and Research Innovations
  
  Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
  
  ICSE'19, Technical Briefings | June 2019
  
  Publication
- An Empirical Investigation of Incident Triage for Online Service Systems
  
  Junjie Chen, Qingwei Lin, ...
  
  ICSE‘19, Software Engineering In Practice | May 2019
  
  Publication
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Identifying Impactful Service System Problems via Log Analysis
  
  Shilin He, Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
  
  Qingwei Lin 林庆维, weichen Ke, ...
  
  SigKDD 2018 | August 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, ..., Qingwei Lin, ...
  
  USENIX ATC 2018 | July 2018
  
  Publication
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 巻24: pp. 905-941
  
  Publication
- How to Tame Your Online Services
  
  Qingwei Lin 林庆维, ...
  
  Perspectives in Data Science for SE | 2016
  
  Publication
- iDice: Problem Identification for Emerging Issues
  
  Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
  
  ICSE 2016 | January 2016
  
  Publication
- Log Clustering based Problem Identification for Online Service Systems
  
  Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
  
  SEIP, ICSE | January 2016
  
  Publication
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  USENIX ATC | July 2015
  
  Publication
- Correlating Events with Time Series for Incident Diagnosis
  
  Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
  
  SigKDD'14 | July 2014
  
  Publication
- Identifying Recurrent and Unknown Performance Issues
  
  Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
  
  ICDM | July 2014
  
  Publication
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  DSN | July 2014
  
  Publication
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2014 | July 2014
  
  Publication
- Software Analytics for Incident Management of Online Services: An Experience Report
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  ASE | November 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ... | July 2013
  
  Publication
- Healing Online Service Systems via Mining Historical Issue Repositories
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  ASE 2012 | July 2012
  
  Publication
- Performance Issue Diagnosis for Online Service Systems
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication

- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
  
  Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin 林庆维, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
  
  NeurIPS 2025 | June 2025
  
  Publication プロジェクトプロジェクト
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  
  Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, 巻abs/2504.14603
  
  DOI Publication Publication プロジェクトプロジェクト
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- API Agents vs. GUI Agents: Divergence and Convergence
  
  Chaoyun Zhang, Shilin He, Liqun Li, Si Qin, Yu Kang, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | March 2025, 巻abs/2503.11069
  
  DOI Publication Publication プロジェクトプロジェクト
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  February 2025
  
  Publication
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.18460
  
  DOI Publication Publication プロジェクト
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.16050
  
  DOI Publication Publication プロジェクト
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.13699
  
  DOI Publication Publication プロジェクト
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, 巻abs/2411.18279
  
  DOI Publication Publication プロジェクト
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP'24 | November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI'25 | October 2024
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  
  Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ACL'24 Findings | August 2024
  
  Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  Foundations of Software Engineering (FSE) | July 2024
  
  DOI Publication
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE'24 Industry Track | July 2024
  
  Publication Publication
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint プロジェクトプロジェクト
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- TaskWeaver: A Code-First Agent Framework
  
  Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  ..., Qingwei Lin 林庆维, ...
  
  December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | November 2023, 巻abs/2311.04254
  
  DOI Publication Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication プロジェクトプロジェクト
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
  
  Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
  
  ACL 2023 | July 2023
  
  Publication
- WizardCoder: Empowering Code Large Language Models with Evol-Instruct
  
  Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang (姜大昕)
  
  ICLR 2024 | June 2023
  
  DOI PDF
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 Companion | April 2023
  
  Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication プロジェクトプロジェクト
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
  
  Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクトプロジェクト
- Search-based Diverse Sampling from Real-world Software Product Lines
  
  Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクト
- A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
  
  Kai Yan, ..., Qingwei Lin 林庆维, ...
  
  NeurIPS 2021 | December 2021
  
  Publication プロジェクト
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
  
  Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
  
  IJCAI 2021 | December 2021
  
  Publication プロジェクト
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD'21 Applied Data Science Track | October 2021
  
  Publication PDF プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI プロジェクトプロジェクト
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
  
  Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  SIGIR 2021 | June 2021
  
  Publication プロジェクト
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, ..., Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
  
  Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- AutoCCAG: An Automated Approach to Constrained Covering Array Generation
  
  Chuan Luo, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2021 | January 2021
  
  Publication プロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI プロジェクト
- Towards intelligent incident management: why we need it and how we make it
  
  Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
  
  Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE'20 | November 2020
  
  DOI Publication プロジェクト
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, ..., Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Efficient Customer Issue Triage via Linking with System Incidents
  
  Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2020 Industry | October 2020
  
  Publication
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI'20 | February 2020
  
  Publication
- AIOps Innovations in Incident Management for Cloud Services
  
  Zhuangbin Chen, ..., Qingwei Lin 林庆维
  
  Cloud Intelligence Workshop, AAAI'20 | February 2020
  
  Publication
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, ..., Qingwei Lin 林庆维, ...
  
  ASE'19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, ...
  
  ICDM'19 | October 2019
  
  Publication
- Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
  
  Jinkun Lin, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, ..., Qingwei Lin, ...
  
  IJCAI'19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC'19 | July 2019
  
  PDF Publication
- AIOps: Real-World Challenges and Research Innovations
  
  Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
  
  ICSE'19, Technical Briefings | June 2019
  
  Publication
- An Empirical Investigation of Incident Triage for Online Service Systems
  
  Junjie Chen, Qingwei Lin, ...
  
  ICSE‘19, Software Engineering In Practice | May 2019
  
  Publication
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
  
  Qingwei Lin 林庆维, weichen Ke, ...
  
  SigKDD 2018 | August 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, ..., Qingwei Lin, ...
  
  USENIX ATC 2018 | July 2018
  
  Publication
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 巻24: pp. 905-941
  
  Publication
- How to Tame Your Online Services
  
  Qingwei Lin 林庆维, ...
  
  Perspectives in Data Science for SE | 2016
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, 巻abs/2504.14603
  
  DOI Publication Publication プロジェクトプロジェクト
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- API Agents vs. GUI Agents: Divergence and Convergence
  
  Chaoyun Zhang, Shilin He, Liqun Li, Si Qin, Yu Kang, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | March 2025, 巻abs/2503.11069
  
  DOI Publication Publication プロジェクトプロジェクト
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.18460
  
  DOI Publication Publication プロジェクト
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.16050
  
  DOI Publication Publication プロジェクト
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.13699
  
  DOI Publication Publication プロジェクト
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, 巻abs/2411.18279
  
  DOI Publication Publication プロジェクト
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication プロジェクトプロジェクト
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
  
  NSDI | April 2023
  
  Publication プロジェクトプロジェクト
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication プロジェクトプロジェクト
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, ..., Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication プロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI プロジェクト
- Towards intelligent incident management: why we need it and how we make it
  
  Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
  
  Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE'20 | November 2020
  
  DOI Publication プロジェクト
- Efficient Customer Issue Triage via Linking with System Incidents
  
  Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2020 Industry | October 2020
  
  Publication
- AIOps: Real-World Challenges and Research Innovations
  
  Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
  
  ICSE'19, Technical Briefings | June 2019
  
  Publication
- An Empirical Investigation of Incident Triage for Online Service Systems
  
  Junjie Chen, Qingwei Lin, ...
  
  ICSE‘19, Software Engineering In Practice | May 2019
  
  Publication
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 巻24: pp. 905-941
  
  Publication
- How to Tame Your Online Services
  
  Qingwei Lin 林庆维, ...
  
  Perspectives in Data Science for SE | 2016
  
  Publication
- Log Clustering based Problem Identification for Online Service Systems
  
  Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
  
  SEIP, ICSE | January 2016
  
  Publication
- iDice: Problem Identification for Emerging Issues
  
  Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
  
  ICSE 2016 | January 2016
  
  Publication
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  USENIX ATC | July 2015
  
  Publication
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2014 | July 2014
  
  Publication
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  DSN | July 2014
  
  Publication
- Identifying Recurrent and Unknown Performance Issues
  
  Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
  
  ICDM | July 2014
  
  Publication
- Correlating Events with Time Series for Incident Diagnosis
  
  Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
  
  SigKDD'14 | July 2014
  
  Publication
- Software Analytics for Incident Management of Online Services: An Experience Report
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  ASE | November 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ... | July 2013
  
  Publication
- Healing Online Service Systems via Mining Historical Issue Repositories
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  ASE 2012 | July 2012
  
  Publication
- Performance Issue Diagnosis for Online Service Systems
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication プロジェクト
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, 巻abs/2504.14603
  
  DOI Publication Publication プロジェクトプロジェクト
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
  
  Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin 林庆维, Murali Chintalapati, Dongmei Zhang
  
  SOCC'24 | November 2024
  
  Publication Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- Large Language Models Can Provide Accurate and Interpretable Incident Triage
  
  Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | August 2024
  
  Publication
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN'23 | June 2023
  
  Publication
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
  
  NSDI | April 2023
  
  Publication プロジェクトプロジェクト
- Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
  
  Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ASPLOS'23 | March 2023
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'22 | August 2022
  
  Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, ..., Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication プロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
  
  Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクトプロジェクト
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD'21 Applied Data Science Track | October 2021
  
  Publication PDF プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI プロジェクトプロジェクト
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication
- GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
  
  Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin 林庆维, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
  
  NeurIPS 2025 | June 2025
  
  Publication プロジェクトプロジェクト
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
  
  Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin 林庆维, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
  
  NeurIPS 2025 | June 2025
  
  Publication プロジェクトプロジェクト
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint プロジェクトプロジェクト
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
  
  Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
  
  ACL 2023 | July 2023
  
  Publication
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
  
  Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
  
  Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
  
  Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
  
  July 2024
  
  Preprint
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  
  Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
  
  TheWebConf'24 | February 2024
  
  DOI Publication
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  ..., Qingwei Lin 林庆维, ...
  
  December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication プロジェクトプロジェクト
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 2023
  
  Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'22 | August 2022
  
  Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
  
  Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクトプロジェクト
- Search-based Diverse Sampling from Real-world Software Product Lines
  
  Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクト
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
  
  Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
  
  IJCAI 2021 | December 2021
  
  Publication プロジェクト
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD'21 Applied Data Science Track | October 2021
  
  Publication PDF プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
  
  Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  SIGIR 2021 | June 2021
  
  Publication プロジェクト
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, ..., Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
  
  Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- AutoCCAG: An Automated Approach to Constrained Covering Array Generation
  
  Chuan Luo, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2021 | January 2021
  
  Publication プロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI プロジェクト
- Towards intelligent incident management: why we need it and how we make it
  
  Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
  
  Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE'20 | November 2020
  
  DOI Publication プロジェクト
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, ..., Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Efficient Customer Issue Triage via Linking with System Incidents
  
  Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2020 Industry | October 2020
  
  Publication
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI'20 | February 2020
  
  Publication
- AIOps Innovations in Incident Management for Cloud Services
  
  Zhuangbin Chen, ..., Qingwei Lin 林庆维
  
  Cloud Intelligence Workshop, AAAI'20 | February 2020
  
  Publication
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, ..., Qingwei Lin 林庆维, ...
  
  ASE'19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, ...
  
  ICDM'19 | October 2019
  
  Publication
- Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
  
  Jinkun Lin, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, ..., Qingwei Lin, ...
  
  IJCAI'19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC'19 | July 2019
  
  PDF Publication
- AIOps: Real-World Challenges and Research Innovations
  
  Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
  
  ICSE'19, Technical Briefings | June 2019
  
  Publication
- An Empirical Investigation of Incident Triage for Online Service Systems
  
  Junjie Chen, Qingwei Lin, ...
  
  ICSE‘19, Software Engineering In Practice | May 2019
  
  Publication
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Identifying Impactful Service System Problems via Log Analysis
  
  Shilin He, Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, ..., Qingwei Lin, ...
  
  USENIX ATC 2018 | July 2018
  
  Publication
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 巻24: pp. 905-941
  
  Publication
- How to Tame Your Online Services
  
  Qingwei Lin 林庆维, ...
  
  Perspectives in Data Science for SE | 2016
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication プロジェクト
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
  
  Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin 林庆维, Murali Chintalapati, Dongmei Zhang
  
  SOCC'24 | November 2024
  
  Publication Publication
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  ..., Qingwei Lin 林庆维, ...
  
  December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication プロジェクトプロジェクト
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 2023
  
  Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 Companion | April 2023
  
  Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'22 | August 2022
  
  Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
  
  Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクトプロジェクト
- Search-based Diverse Sampling from Real-world Software Product Lines
  
  Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクト
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
  
  Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
  
  IJCAI 2021 | December 2021
  
  Publication プロジェクト
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD'21 Applied Data Science Track | October 2021
  
  Publication PDF プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
  
  Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  SIGIR 2021 | June 2021
  
  Publication プロジェクト
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, ..., Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
  
  Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- AutoCCAG: An Automated Approach to Constrained Covering Array Generation
  
  Chuan Luo, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2021 | January 2021
  
  Publication プロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI プロジェクト
- Towards intelligent incident management: why we need it and how we make it
  
  Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
  
  Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE'20 | November 2020
  
  DOI Publication プロジェクト
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, ..., Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Efficient Customer Issue Triage via Linking with System Incidents
  
  Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2020 Industry | October 2020
  
  Publication
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI'20 | February 2020
  
  Publication
- AIOps Innovations in Incident Management for Cloud Services
  
  Zhuangbin Chen, ..., Qingwei Lin 林庆维
  
  Cloud Intelligence Workshop, AAAI'20 | February 2020
  
  Publication
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, ..., Qingwei Lin 林庆维, ...
  
  ASE'19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, ...
  
  ICDM'19 | October 2019
  
  Publication
- Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
  
  Jinkun Lin, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, ..., Qingwei Lin, ...
  
  IJCAI'19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC'19 | July 2019
  
  PDF Publication
- AIOps: Real-World Challenges and Research Innovations
  
  Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
  
  ICSE'19, Technical Briefings | June 2019
  
  Publication
- An Empirical Investigation of Incident Triage for Online Service Systems
  
  Junjie Chen, Qingwei Lin, ...
  
  ICSE‘19, Software Engineering In Practice | May 2019
  
  Publication
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- How to Tame Your Online Services
  
  Qingwei Lin 林庆维, ...
  
  Perspectives in Data Science for SE | 2016
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, ..., Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication プロジェクト

- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication プロジェクト
- GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
  
  Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin 林庆维, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
  
  NeurIPS 2025 | June 2025
  
  Publication プロジェクトプロジェクト
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR'25 | June 2025
  
  Preprint
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys'25 | May 2025
  
  Publication
- AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  
  Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure
  
  Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin 林庆维, Murali Chintalapati, Dongmei Zhang
  
  SOCC'24 | November 2024
  
  Publication Publication
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP'24 | November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI'25 | October 2024
  
  Publication
- Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
  
  Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
  
  Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM'24 | October 2024
  
  PDF
- Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  
  Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ACL'24 Findings | August 2024
  
  Publication
- Large Language Models Can Provide Accurate and Interpretable Incident Triage
  
  Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | August 2024
  
  Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  Foundations of Software Engineering (FSE) | July 2024
  
  DOI Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE'24 Industry Track | July 2024
  
  Publication Publication
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint プロジェクトプロジェクト
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  
  Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
  
  TheWebConf'24 | February 2024
  
  DOI Publication
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication プロジェクトプロジェクト
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication プロジェクトプロジェクト
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR'23 | December 2023
  
  Publication
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  ..., Qingwei Lin 林庆维, ...
  
  December 2023
  
  Publication
- LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
  
  Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
  
  ICCV'23 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
  
  Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | November 2023
  
  DOI Publication Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication プロジェクトプロジェクト
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication プロジェクトプロジェクト
- TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  FSE'23 Industry | October 2023
  
  DOI Publication Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 2023
  
  Publication
- Conservative State Value Estimation for Offline Reinforcement Learning
  
  Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
  
  NeurIPS 2023 | October 2023
  
  DOI Publication PDF
- LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
  
  Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
  
  ASE'23 | September 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | August 2023
  
  DOI Publication
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
  
  Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
  
  KDD'23 | August 2023
  
  DOI Publication PDF
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
  
  Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
  
  ACL 2023 | July 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN'23 | June 2023
  
  Publication
- WizardCoder: Empowering Code Large Language Models with Evol-Instruct
  
  Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang (姜大昕)
  
  ICLR 2024 | June 2023
  
  DOI PDF
- Robust Multimodal Failure Detection for Microservice Systems
  
  Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  KDD'23 ADS | May 2023
  
  DOI Publication PDF
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
  
  Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
  
  EMNLP'23 Industry | May 2023
  
  DOI Publication PDF
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF プロジェクトプロジェクト
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2023 SEIP | May 2023
  
  Publication プロジェクト
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
  
  WWW’23 industry | April 2023
  
  DOI Publication
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’23 industry | April 2023
  
  DOI Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF プロジェクト
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 Companion | April 2023
  
  Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
  
  NSDI | April 2023
  
  Publication プロジェクトプロジェクト
- Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
  
  Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ASPLOS'23 | March 2023
  
  Publication
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication プロジェクトプロジェクト
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication プロジェクトプロジェクト
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'22 | August 2022
  
  Publication プロジェクトプロジェクト
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication プロジェクトプロジェクト
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI'22 | July 2022
  
  Publication プロジェクトプロジェクトプロジェクト
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication プロジェクトプロジェクト
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, ..., Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication プロジェクト
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication プロジェクト
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW'22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI プロジェクトプロジェクト
- DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
  
  Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクトプロジェクト
- Search-based Diverse Sampling from Real-world Software Product Lines
  
  Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
  
  ICSE 2022 | January 2022
  
  Publication プロジェクト
- A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
  
  Kai Yan, ..., Qingwei Lin 林庆维, ...
  
  NeurIPS 2021 | December 2021
  
  Publication プロジェクト
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI'21 | December 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
  
  Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
  
  IJCAI 2021 | December 2021
  
  Publication プロジェクト
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD'21 Applied Data Science Track | October 2021
  
  Publication PDF プロジェクトプロジェクト
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE'21 | September 2021
  
  Best Research Paper
  
  Publication プロジェクトプロジェクト
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE'21 Industry Track | August 2021
  
  Publication
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI プロジェクトプロジェクト
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
  
  Publication プロジェクトプロジェクト
- RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
  
  Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  SIGIR 2021 | June 2021
  
  Publication プロジェクト
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, ..., Qingwei Lin 林庆维
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
  
  Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
  
  AAAI'21 | March 2021
  
  Publication プロジェクト
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication プロジェクトプロジェクトプロジェクト
- AutoCCAG: An Automated Approach to Constrained Covering Array Generation
  
  Chuan Luo, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2021 | January 2021
  
  Publication プロジェクト
- Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
  
  OSDI'20 | December 2020
  
  Publication プロジェクトプロジェクトプロジェクト
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI プロジェクト
- Towards intelligent incident management: why we need it and how we make it
  
  Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
  
  Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  DOI
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE'20 | November 2020
  
  DOI Publication プロジェクト
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, ..., Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication プロジェクト
- Efficient Customer Issue Triage via Linking with System Incidents
  
  Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2020 Industry | October 2020
  
  Publication
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI'20 | February 2020
  
  Publication
- AIOps Innovations in Incident Management for Cloud Services
  
  Zhuangbin Chen, ..., Qingwei Lin 林庆维
  
  Cloud Intelligence Workshop, AAAI'20 | February 2020
  
  Publication
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, ..., Qingwei Lin 林庆维, ...
  
  ASE'19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, ...
  
  ICDM'19 | October 2019
  
  Publication
- Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
  
  Jinkun Lin, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, ..., Qingwei Lin, ...
  
  FSE'19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, ..., Qingwei Lin, ...
  
  IJCAI'19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC'19 | July 2019
  
  PDF Publication
- AIOps: Real-World Challenges and Research Innovations
  
  Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
  
  ICSE'19, Technical Briefings | June 2019
  
  Publication
- An Empirical Investigation of Incident Triage for Online Service Systems
  
  Junjie Chen, Qingwei Lin, ...
  
  ICSE‘19, Software Engineering In Practice | May 2019
  
  Publication
- Outage Prediction and Diagnosis for Cloud Service Systems
  
  Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
  
  2019 The Web Conference | May 2019
  
  PDF DOI
- Identifying Impactful Service System Problems via Log Analysis
  
  Shilin He, Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, ...
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
  
  Qingwei Lin 林庆维, weichen Ke, ...
  
  SigKDD 2018 | August 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, ..., Qingwei Lin, ...
  
  USENIX ATC 2018 | July 2018
  
  Publication
- Log Clustering based Problem Identification for Online Service Systems
  
  Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
  
  SEIP, ICSE | January 2016
  
  Publication
- iDice: Problem Identification for Emerging Issues
  
  Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
  
  ICSE 2016 | January 2016
  
  Publication
- Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  USENIX ATC | July 2015
  
  Publication
- Where Do Developers Log? An Empirical Study on Logging Practices in Industry
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ICSE 2014 | July 2014
  
  Publication
- Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  DSN | July 2014
  
  Publication
- Identifying Recurrent and Unknown Performance Issues
  
  Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
  
  ICDM | July 2014
  
  Publication
- Correlating Events with Time Series for Incident Diagnosis
  
  Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
  
  SigKDD'14 | July 2014
  
  Publication
- Software Analytics for Incident Management of Online Services: An Experience Report
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  ASE | November 2013
  
  Publication
- Contextual Analysis of Program Logs for Understanding System Behaviors
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  ... | July 2013
  
  Publication
- Healing Online Service Systems via Mining Historical Issue Repositories
  
  Rui Ding, ..., Qingwei Lin 林庆维, ...
  
  ASE 2012 | July 2012
  
  Publication
- Performance Issue Diagnosis for Online Service Systems
  
  Qiang Fu, ..., Qingwei Lin 林庆维, ...
  
  the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
  
  Publication
- Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  
  Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
  
  ICLR’23 | December 1969
  
  Publication
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, 巻abs/2504.14603
  
  DOI Publication Publication プロジェクトプロジェクト
- API Agents vs. GUI Agents: Divergence and Convergence
  
  Chaoyun Zhang, Shilin He, Liqun Li, Si Qin, Yu Kang, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | March 2025, 巻abs/2503.11069
  
  DOI Publication Publication プロジェクトプロジェクト
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  February 2025
  
  Publication
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.18460
  
  DOI Publication Publication プロジェクト
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.16050
  
  DOI Publication Publication プロジェクト
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, 巻abs/2501.13699
  
  DOI Publication Publication プロジェクト
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, 巻abs/2411.18279
  
  DOI Publication Publication プロジェクト
- Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
  
  Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  TKDE’24 | November 2024
  
  DOI
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
  
  Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  PVLDB'24 | July 2024, 巻abs/2307.00754
  
  DOI PDF
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | November 2023, 巻abs/2311.04254
  
  DOI Publication Publication
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
  
  DOI Publication
- PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
  
  Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
  
  2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
  
  DOI Publication Publication
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- Experience report on applying software analytics in incident management of online service
  
  Jian-Guang Lou, Qingwei Lin 林庆维, ...
  
  Automated Software Engineering | December 2017, 巻24: pp. 905-941
  
  Publication
- Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
  
  Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
  
  December 2024
- Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
  
  Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
  
  July 2024
  
  Preprint
  
  Preprint
- TaskWeaver: A Code-First Agent Framework
  
  Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  Publication
- Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
  
  Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
  
  MSR-TR-2020-35 | December 2020
  
  Microsoft による投稿
  
  Technical report - extension of OSDI'20 paper
  
  Publication プロジェクト
- How to Tame Your Online Services
  
  Qingwei Lin 林庆维, ...
  
  Perspectives in Data Science for SE | 2016
  
  Publication

Qingwei Lin 林庆维

出版物

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

Triangle: Empowering Incident Triage with Multi-Agent

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

SWE-bench Goes Live!

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

UFO2: The Desktop AgentOS

RuAG: Learned-rule-augmented Generation for Large Language Models

UFO: A UI-Focused Agent for Windows OS Interaction

API Agents vs. GUI Agents: Divergence and Convergence

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale

Enabling Autonomic Microservice Management through Self-Learning Agents

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

Large Language Model-Brained GUI Agents: A Survey

Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure

Sharingan: Extract user action sequence from desktop recordings

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Large Language Models Can Provide Accurate and Interpretable Incident Triage

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

UniLog: Automatic Logging via LLM and In-Context Learning

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval

TaskWeaver: A Code-First Agent Framework

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365

STEAM: Observability-Preserving Trace Sampling

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Assess and Summarize: Improve Outage Understanding with Large Language Models

STEAM: Observability-Preserving Trace Sampling

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud

Conservative State Value Estimation for Offline Reinforcement Learning

LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Robust Multimodal Failure Detection for Microservice Systems

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems

CONAN: Diagnosing Batch Failures for Cloud Systems

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

NetPanel: Traffic Measurement of Exchange Online Service

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

An Empirical Study of Log Analysis at Microsoft

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365