CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
ACL Industry Track | July 2026
出版物
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EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
ACL Findings | July 2026
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RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
March 2026
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP ’25) | November 2025
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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
the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
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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
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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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
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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
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Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
ICPE | May 2025
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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
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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
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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
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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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
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
ArXiv | August 2024, 巻abs/2408.13510
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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
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Workload Intelligence: Punching Holes Through the Cloud Abstraction
Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
April 2024
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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
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Decomposed Meta-Learning for Few-Shot Sequence Labeling
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Jieru Lin, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
IEEE/ACM Transactions on Audio, Speech, and Language Processing | March 2024, pp. 1980-1993
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM ’24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24) | February 2024
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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
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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
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InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
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LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
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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
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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
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LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
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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
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CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
ACL 2023 | July 2023
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Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL ’23) | May 2023
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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
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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
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR ’23) | May 2023
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW’23) | April 2023
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Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW’23) | April 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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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
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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
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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
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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
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Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Lei How, Juanzi Li, Shi Han, Dongmei Zhang, Jidong Zhai
The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI’23) | February 2023
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Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
International Conference on Learning Representations (ICLR’23) | February 2023
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Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
Sanxing Chen, Yongqiang Chen, Börje F. Karlsson
MSR-TR-2023-9 | February 2023
Microsoft Research による投稿
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DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS’22) | December 2022
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RACE: Retrieval-augmented Commit Message Generation
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’22) | December 2022
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin
The 2022 Conference on Empirical Methods in Natural Language Processing | December 2022
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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
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Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
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A large-scale empirical study of commit message generation: models, datasets and evaluation
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Empirical Software Engineering | October 2022
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Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
ACM International Conference on Information and Knowledge Management (CIKM’22) | October 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD’22) | August 2022
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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
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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
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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
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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
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On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022) | July 2022
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NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, …, Qingwei Lin 林庆维
NSDI 2023 | July 2022
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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
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI’2022 SURVEY TRACK | July 2022
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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
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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
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Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
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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
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Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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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
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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
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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
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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
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MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2021
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Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
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AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
ACM International Conference on Information & Knowledge Management (CIKM’21) | October 2021
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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
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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
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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
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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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
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Animated Presentation of Static Infographics with InfoMotion
Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum | June 2021
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Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
ICSE 2021 | May 2021
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Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison
Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu
Proceedings of the ACM Conference on Human Factors in Computing Systems | May 2021
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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
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PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, …, Qingwei Lin 林庆维
AAAI’21 | March 2021
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Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
AAAI’21 | February 2021
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Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
AAAI’21 | February 2021
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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
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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
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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
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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
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Benchmarking Meaning Representations in Neural Semantic Parsing
Jiaqi GUO, Qian LIU, Jian-Guang Lou, Zhenwen LI, Susan Xueqing LIU, Tao XIE, Ting LIU
EMNLP’20 (full paper) | November 2020
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Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
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Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
NeurIPS 2020 (spotlight paper) | November 2020
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Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
NeurIPS’20 | November 2020
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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
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Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, …, Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM’20 (among five best paper nominees in full research track) | October 2020
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Improving Engagement of Animated Visualization with Visual Foreshadowing
Wenchao Li, Yun Wang, Haidong Zhang, Huamin Qu
Proceedings of the 2020 IEEE Visualization Conference (VIS) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM’20 (applied research track) | October 2020
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Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE VIS 2020 | October 2020
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Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang
2020 Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
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UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
29th International Joint Conference on Artificial Intelligence (IJCAI 2020) | July 2020
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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
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI ’20) | February 2020
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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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
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CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | December 2019, 巻26(1): pp. 1107-1117
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
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Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, …, Qingwei Lin 林庆维, …
ASE’19 | November 2019
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DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun (intern), Haidong Zhang, Weiwei Cui, Ke Xu (intern), Xiaojuan Ma, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Weiwei Cui, Xiaoyu Zhang, Yun Wang, Ray Huang, Bei Chen, Lei Fang, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline
Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, …
ICDM’19 | October 2019
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Visualization Assessment: A Machine Learning Approach
Xin Fu (intern), Yun Wang, Haoyu Dong, Weiwei Cui, Haidong Zhang
Proceedings of the 2019 IEEE VIS Conference | October 2019
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Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling
Siming Chen, Jie Li, Gennady Andrienko, Natalia Andrienko, Yun Wang, Phong H. Nguyen, Cagatay Turkay
IEEE Transactions on Visualization and Computer Graphics | September 2019
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Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, …, Qingwei Lin, …
FSE’19 | August 2019
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An Emotional Response to the Value of Visualization
Yun Wang, Adrien Segal, Roberta Klatzky, Daniel F. Keefe, Petra Isenberg, Jorn Hurtienne, Eva Hornecker, Tim Dwyer, Stephen Barrass
IEEE Computer Graphics and Applications | August 2019
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Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
ACL19 | August 2019
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Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, …, Qingwei Lin, …
IJCAI’19 | July 2019
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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
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD’19 industrial track) | June 2019
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DeepMRT at the NTCIR-14 FinNum Task: A Hybrid Neural Model for Numeral Type Classification in Financial Tweets
Qianhui Wu, Guoxin Wang, Yuying Zhu, Haoyan Liu, Börje F. Karlsson
14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14) | June 2019
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CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
https://arxiv.org/abs/1904.02141 | April 2019
Microsoft による投稿
Accepted at NAACL 2019.
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Incrementally-deployable Indoor Navigation with Automatic Trace Generation
Yuanchao Shu, Zhuqi Li, Börje F. Karlsson, Yiyong Lin, Thomas Moscibroda, Kang Shin
IEEE International Conference on Computer Communications (INFOCOM) | April 2019
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’19) | January 2019
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GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson
AAAI19 | January 2019
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Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, …
ESEC/FSE 2018 | November 2018
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Predicting Node Failure in Cloud Service Systems
ESEC/FSE 2018 | November 2018
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE’18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE’18) | September 2018
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BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, …
SigKDD 2018 | August 2018
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Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, …, Qingwei Lin, …
USENIX ATC 2018 | July 2018
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InfoNice: Easy Creation of Information Graphics
Yun Wang, Haidong Zhang, Ray Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu
ACM CHI Conference on Human Factors in Computing Systems | April 2018
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD’17) | May 2017
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iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
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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
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EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
ACL Findings | July 2026
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CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
ACL Industry Track | July 2026
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RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
March 2026
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP ’25) | November 2025
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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
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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
the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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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
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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
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Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
ICPE | May 2025
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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
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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
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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
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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
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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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
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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
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
ArXiv | August 2024, 巻abs/2408.13510
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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
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Workload Intelligence: Punching Holes Through the Cloud Abstraction
Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
April 2024
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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
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Decomposed Meta-Learning for Few-Shot Sequence Labeling
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Jieru Lin, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
IEEE/ACM Transactions on Audio, Speech, and Language Processing | March 2024, pp. 1980-1993
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM ’24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24) | February 2024
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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
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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
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InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
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LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
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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
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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
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LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
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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
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CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
ACL 2023 | July 2023
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Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL ’23) | May 2023
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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
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR ’23) | May 2023
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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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
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Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW’23) | April 2023
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Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW’23) | April 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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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
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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
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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
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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
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Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Lei How, Juanzi Li, Shi Han, Dongmei Zhang, Jidong Zhai
The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI’23) | February 2023
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Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
International Conference on Learning Representations (ICLR’23) | February 2023
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Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
Sanxing Chen, Yongqiang Chen, Börje F. Karlsson
MSR-TR-2023-9 | February 2023
Microsoft Research による投稿
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DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin
The 2022 Conference on Empirical Methods in Natural Language Processing | December 2022
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RACE: Retrieval-augmented Commit Message Generation
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’22) | December 2022
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Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS’22) | December 2022
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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
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A large-scale empirical study of commit message generation: models, datasets and evaluation
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Empirical Software Engineering | October 2022
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Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
ACM International Conference on Information and Knowledge Management (CIKM’22) | October 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD’22) | August 2022
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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
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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
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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
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On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022) | July 2022
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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
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI’2022 SURVEY TRACK | July 2022
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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
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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
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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
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Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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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
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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
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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
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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
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Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
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MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2021
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AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
ACM International Conference on Information & Knowledge Management (CIKM’21) | October 2021
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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
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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
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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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
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Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
ICSE 2021 | May 2021
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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
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PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, …, Qingwei Lin 林庆维
AAAI’21 | March 2021
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Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
AAAI’21 | February 2021
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Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
AAAI’21 | February 2021
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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
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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
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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
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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
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Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
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Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
NeurIPS 2020 (spotlight paper) | November 2020
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Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
NeurIPS’20 | November 2020
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Benchmarking Meaning Representations in Neural Semantic Parsing
Jiaqi GUO, Qian LIU, Jian-Guang Lou, Zhenwen LI, Susan Xueqing LIU, Tao XIE, Ting LIU
EMNLP’20 (full paper) | November 2020
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Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, …, Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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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
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM’20 (among five best paper nominees in full research track) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM’20 (applied research track) | October 2020
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UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
29th International Joint Conference on Artificial Intelligence (IJCAI 2020) | July 2020
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Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang
2020 Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
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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
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI ’20) | February 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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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
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CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | December 2019, 巻26(1): pp. 1107-1117
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
-
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, …, Qingwei Lin 林庆维, …
ASE’19 | November 2019
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Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline
Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, …
ICDM’19 | October 2019
-
Visualization Assessment: A Machine Learning Approach
Xin Fu (intern), Yun Wang, Haoyu Dong, Weiwei Cui, Haidong Zhang
Proceedings of the 2019 IEEE VIS Conference | October 2019
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Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, …, Qingwei Lin, …
FSE’19 | August 2019
-
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
ACL19 | August 2019
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Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, …, Qingwei Lin, …
IJCAI’19 | July 2019
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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
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD’19 industrial track) | June 2019
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DeepMRT at the NTCIR-14 FinNum Task: A Hybrid Neural Model for Numeral Type Classification in Financial Tweets
Qianhui Wu, Guoxin Wang, Yuying Zhu, Haoyan Liu, Börje F. Karlsson
14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14) | June 2019
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CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
https://arxiv.org/abs/1904.02141 | April 2019
Microsoft による投稿
Accepted at NAACL 2019.
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’19) | January 2019
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GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson
AAAI19 | January 2019
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Predicting Node Failure in Cloud Service Systems
ESEC/FSE 2018 | November 2018
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BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, …
SigKDD 2018 | August 2018
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Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, …, Qingwei Lin, …
USENIX ATC 2018 | July 2018
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RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
March 2026
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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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
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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
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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
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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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
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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
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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
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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
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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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
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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
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Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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RACE: Retrieval-augmented Commit Message Generation
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’22) | December 2022
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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
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A large-scale empirical study of commit message generation: models, datasets and evaluation
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Empirical Software Engineering | October 2022
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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
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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
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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
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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
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NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, …, Qingwei Lin 林庆维
NSDI 2023 | July 2022
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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
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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
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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
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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
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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
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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
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Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
ICSE 2021 | May 2021
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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
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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
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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
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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
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE’18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE’18) | September 2018
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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
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iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP ’25) | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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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
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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
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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
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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
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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
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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
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
ICSE 2021 | May 2021
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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
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PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, …, Qingwei Lin 林庆维
AAAI’21 | March 2021
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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
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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
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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
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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
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Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, …, Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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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
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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
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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
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Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, …, Qingwei Lin 林庆维, …
ASE’19 | November 2019
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Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, …
ICDM’19 | October 2019
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Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, …, Qingwei Lin, …
FSE’19 | August 2019
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Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, …, Qingwei Lin, …
IJCAI’19 | July 2019
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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
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Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, …
ESEC/FSE 2018 | November 2018
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Predicting Node Failure in Cloud Service Systems
ESEC/FSE 2018 | November 2018
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Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, …, Qingwei Lin, …
USENIX ATC 2018 | July 2018
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP ’25) | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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Decomposed Meta-Learning for Few-Shot Sequence Labeling
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Jieru Lin, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
IEEE/ACM Transactions on Audio, Speech, and Language Processing | March 2024, pp. 1980-1993
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM ’24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24) | February 2024
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LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
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LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
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CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
ACL 2023 | July 2023
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Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR ’23) | May 2023
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Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
Sanxing Chen, Yongqiang Chen, Börje F. Karlsson
MSR-TR-2023-9 | February 2023
Microsoft Research による投稿
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin
The 2022 Conference on Empirical Methods in Natural Language Processing | December 2022
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On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022) | July 2022
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Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
29th International Joint Conference on Artificial Intelligence (IJCAI 2020) | July 2020
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Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang
2020 Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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DeepMRT at the NTCIR-14 FinNum Task: A Hybrid Neural Model for Numeral Type Classification in Financial Tweets
Qianhui Wu, Guoxin Wang, Yuying Zhu, Haoyan Liu, Börje F. Karlsson
14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14) | June 2019
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Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
ICPE | May 2025
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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
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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
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Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
ArXiv | August 2024, 巻abs/2408.13510
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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
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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
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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
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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
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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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
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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
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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
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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
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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
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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
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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
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NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, …, Qingwei Lin 林庆维
NSDI 2023 | July 2022
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Incrementally-deployable Indoor Navigation with Automatic Trace Generation
Yuanchao Shu, Zhuqi Li, Börje F. Karlsson, Yiyong Lin, Thomas Moscibroda, Kang Shin
IEEE International Conference on Computer Communications (INFOCOM) | April 2019
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM ’24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24) | February 2024
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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
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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
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InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
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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
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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
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL ’23) | May 2023
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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
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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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
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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
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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
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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
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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
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin
The 2022 Conference on Empirical Methods in Natural Language Processing | December 2022
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Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
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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
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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
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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
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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
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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
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI’2022 SURVEY TRACK | July 2022
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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
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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
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Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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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
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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
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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
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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
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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
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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
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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
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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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
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
ICSE 2021 | May 2021
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Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison
Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu
Proceedings of the ACM Conference on Human Factors in Computing Systems | May 2021
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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
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PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, …, Qingwei Lin 林庆维
AAAI’21 | March 2021
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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
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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
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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
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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
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Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
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Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, …, Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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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
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM’20 (among five best paper nominees in full research track) | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM’20 (applied research track) | October 2020
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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
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI ’20) | February 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
-
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
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
-
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, …, Qingwei Lin 林庆维, …
ASE’19 | November 2019
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Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, …
ICDM’19 | October 2019
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Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling
Siming Chen, Jie Li, Gennady Andrienko, Natalia Andrienko, Yun Wang, Phong H. Nguyen, Cagatay Turkay
IEEE Transactions on Visualization and Computer Graphics | September 2019
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Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, …, Qingwei Lin, …
FSE’19 | August 2019
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Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, …, Qingwei Lin, …
IJCAI’19 | July 2019
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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
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD’19 industrial track) | June 2019
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GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson
AAAI19 | January 2019
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE’18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE’18) | September 2018
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD’17) | May 2017
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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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
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
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Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
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MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2021
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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Animated Presentation of Static Infographics with InfoMotion
Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum | June 2021
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Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison
Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu
Proceedings of the ACM Conference on Human Factors in Computing Systems | May 2021
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Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
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Improving Engagement of Animated Visualization with Visual Foreshadowing
Wenchao Li, Yun Wang, Haidong Zhang, Huamin Qu
Proceedings of the 2020 IEEE Visualization Conference (VIS) | October 2020
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CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | December 2019, 巻26(1): pp. 1107-1117
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Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline
Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | November 2019
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DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun (intern), Haidong Zhang, Weiwei Cui, Ke Xu (intern), Xiaojuan Ma, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Weiwei Cui, Xiaoyu Zhang, Yun Wang, Ray Huang, Bei Chen, Lei Fang, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Visualization Assessment: A Machine Learning Approach
Xin Fu (intern), Yun Wang, Haoyu Dong, Weiwei Cui, Haidong Zhang
Proceedings of the 2019 IEEE VIS Conference | October 2019
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Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling
Siming Chen, Jie Li, Gennady Andrienko, Natalia Andrienko, Yun Wang, Phong H. Nguyen, Cagatay Turkay
IEEE Transactions on Visualization and Computer Graphics | September 2019
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An Emotional Response to the Value of Visualization
Yun Wang, Adrien Segal, Roberta Klatzky, Daniel F. Keefe, Petra Isenberg, Jorn Hurtienne, Eva Hornecker, Tim Dwyer, Stephen Barrass
IEEE Computer Graphics and Applications | August 2019
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InfoNice: Easy Creation of Information Graphics
Yun Wang, Haidong Zhang, Ray Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu
ACM CHI Conference on Human Factors in Computing Systems | April 2018
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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
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Decomposed Meta-Learning for Few-Shot Sequence Labeling
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Jieru Lin, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
IEEE/ACM Transactions on Audio, Speech, and Language Processing | March 2024, pp. 1980-1993
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Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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DeepMRT at the NTCIR-14 FinNum Task: A Hybrid Neural Model for Numeral Type Classification in Financial Tweets
Qianhui Wu, Guoxin Wang, Yuying Zhu, Haoyan Liu, Börje F. Karlsson
14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14) | June 2019
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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Incrementally-deployable Indoor Navigation with Automatic Trace Generation
Yuanchao Shu, Zhuqi Li, Börje F. Karlsson, Yiyong Lin, Thomas Moscibroda, Kang Shin
IEEE International Conference on Computer Communications (INFOCOM) | April 2019
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NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, …, Qingwei Lin 林庆维
NSDI 2023 | July 2022
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Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE VIS 2020 | October 2020
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EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
ACL Findings | July 2026
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CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
ACL Industry Track | July 2026
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TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance
Jingxian Xu, Mengyu Zhou, Weichang Liu, Hanbing Liu, Shi Han, Dongmei Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP ’25) | November 2025
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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
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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
the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
Deyin Yi, Yihao Liu, Lang Cao, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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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
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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
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Towards Cloud Efficiency with Large-scale Workload Characterization
A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
ICPE | May 2025
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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
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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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
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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
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Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
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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
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Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM ’24) | March 2024
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Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24) | February 2024
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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
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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
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InsightPilot: An LLM-Empowered Automated Data Exploration System
Rui Ding, Shi Han, Dongmei Zhang
EMNLP 2023 | December 2023
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LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) | December 2023
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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
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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
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LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023
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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
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CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
ACL 2023 | July 2023
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Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) | July 2023
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XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
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AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL ’23) | May 2023
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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
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CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR ’23) | May 2023
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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
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TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, …, Qingwei Lin 林庆维, …
ICSE 2023 SEIP | May 2023
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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
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Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW’23) | April 2023
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Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW’23) | April 2023
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ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
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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
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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
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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
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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
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Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Lei How, Juanzi Li, Shi Han, Dongmei Zhang, Jidong Zhai
The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI’23) | February 2023
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Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
International Conference on Learning Representations (ICLR’23) | February 2023
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DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
ACM International Conference on Web Search and Data Mining (WSDM’23) | February 2023
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP ’22) | December 2022
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Yiheng Shu, Zhiwei Yu, Yuhan Li, Börje F. Karlsson, Tingting Ma, Yuzhong Qu, Chin-Yew Lin
The 2022 Conference on Empirical Methods in Natural Language Processing | December 2022
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RACE: Retrieval-augmented Commit Message Generation
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP’22) | December 2022
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Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS’22) | December 2022
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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
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Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
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Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
ACM International Conference on Information and Knowledge Management (CIKM’22) | October 2022
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TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD’22) | August 2022
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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
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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
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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
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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
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On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022) | July 2022
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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
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NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, …, Qingwei Lin 林庆维
NSDI 2023 | July 2022
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI’2022 SURVEY TRACK | July 2022
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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
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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
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Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) | Findings | May 2022
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
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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
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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
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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
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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
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Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
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AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs
Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang
ACM International Conference on Information & Knowledge Management (CIKM’21) | October 2021
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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
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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
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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
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Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
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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
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MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
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Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining
Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin
ICSE 2021 | May 2021
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Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison
Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu
Proceedings of the ACM Conference on Human Factors in Computing Systems | May 2021
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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
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PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, …, Qingwei Lin 林庆维
AAAI’21 | March 2021
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Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
AAAI’21 | February 2021
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Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
AAAI’21 | February 2021
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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
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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
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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
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Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
NeurIPS 2020 (spotlight paper) | November 2020
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Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
NeurIPS’20 | November 2020
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Benchmarking Meaning Representations in Neural Semantic Parsing
Jiaqi GUO, Qian LIU, Jian-Guang Lou, Zhenwen LI, Susan Xueqing LIU, Tao XIE, Ting LIU
EMNLP’20 (full paper) | November 2020
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Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, …, Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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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
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Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM’20 (among five best paper nominees in full research track) | October 2020
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Improving Engagement of Animated Visualization with Visual Foreshadowing
Wenchao Li, Yun Wang, Haidong Zhang, Huamin Qu
Proceedings of the 2020 IEEE Visualization Conference (VIS) | October 2020
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Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE VIS 2020 | October 2020
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Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM’20 (applied research track) | October 2020
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UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
29th International Joint Conference on Artificial Intelligence (IJCAI 2020) | July 2020
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Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang
2020 Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
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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
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Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI ’20) | February 2020
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Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
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Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
AAAI 2020 | February 2020
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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
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Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
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Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, …, Qingwei Lin 林庆维, …
ASE’19 | November 2019
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Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, …
ICDM’19 | October 2019
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Visualization Assessment: A Machine Learning Approach
Xin Fu (intern), Yun Wang, Haoyu Dong, Weiwei Cui, Haidong Zhang
Proceedings of the 2019 IEEE VIS Conference | October 2019
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Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, …, Qingwei Lin, …
FSE’19 | August 2019
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Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
ACL19 | August 2019
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Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, …, Qingwei Lin, …
IJCAI’19 | July 2019
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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
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QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD’19 industrial track) | June 2019
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DeepMRT at the NTCIR-14 FinNum Task: A Hybrid Neural Model for Numeral Type Classification in Financial Tweets
Qianhui Wu, Guoxin Wang, Yuying Zhu, Haoyan Liu, Börje F. Karlsson
14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14) | June 2019
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Incrementally-deployable Indoor Navigation with Automatic Trace Generation
Yuanchao Shu, Zhuqi Li, Börje F. Karlsson, Yiyong Lin, Thomas Moscibroda, Kang Shin
IEEE International Conference on Computer Communications (INFOCOM) | April 2019
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TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’19) | January 2019
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GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson
AAAI19 | January 2019
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Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, …
ESEC/FSE 2018 | November 2018
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Predicting Node Failure in Cloud Service Systems
ESEC/FSE 2018 | November 2018
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Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE’18 industrial track) | November 2018
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Expandable Group Identification in Spreadsheets
Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE’18) | September 2018
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BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, …
SigKDD 2018 | August 2018
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Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, …, Qingwei Lin, …
USENIX ATC 2018 | July 2018
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InfoNice: Easy Creation of Information Graphics
Yun Wang, Haidong Zhang, Ray Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu
ACM CHI Conference on Human Factors in Computing Systems | April 2018
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Extracting Top-K Insights from Multi-dimensional Data
Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang
Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD’17) | May 2017
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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
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iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
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RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
March 2026
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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
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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
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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
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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
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Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
ArXiv | August 2024, 巻abs/2408.13510
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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
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Workload Intelligence: Punching Holes Through the Cloud Abstraction
Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
April 2024
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Decomposed Meta-Learning for Few-Shot Sequence Labeling
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Jieru Lin, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
IEEE/ACM Transactions on Audio, Speech, and Language Processing | March 2024, pp. 1980-1993
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A large-scale empirical study of commit message generation: models, datasets and evaluation
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Empirical Software Engineering | October 2022
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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
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Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
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MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2021
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Animated Presentation of Static Infographics with InfoMotion
Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum | June 2021
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Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
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CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
Ke Xu, Yun Wang, Leni Yang, Yifang Wang, Bo Qiao, Si Qin, Yong Xu, Haidong Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | December 2019, 巻26(1): pp. 1107-1117
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Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline
Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics | November 2019
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DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun (intern), Haidong Zhang, Weiwei Cui, Ke Xu (intern), Xiaojuan Ma, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Weiwei Cui, Xiaoyu Zhang, Yun Wang, Ray Huang, Bei Chen, Lei Fang, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
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Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling
Siming Chen, Jie Li, Gennady Andrienko, Natalia Andrienko, Yun Wang, Phong H. Nguyen, Cagatay Turkay
IEEE Transactions on Visualization and Computer Graphics | September 2019
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An Emotional Response to the Value of Visualization
Yun Wang, Adrien Segal, Roberta Klatzky, Daniel F. Keefe, Petra Isenberg, Jorn Hurtienne, Eva Hornecker, Tim Dwyer, Stephen Barrass
IEEE Computer Graphics and Applications | August 2019
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Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
Sanxing Chen, Yongqiang Chen, Börje F. Karlsson
MSR-TR-2023-9 | February 2023
Microsoft Research による投稿
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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
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CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
https://arxiv.org/abs/1904.02141 | April 2019
Microsoft による投稿
Accepted at NAACL 2019.
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