Data, Knowledge, and Intelligence

Publications

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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
  
  Preprint
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- 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
  
  Preprint Project
- 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
  
  Preprint Project
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR’25 | June 2025
  
  Preprint
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication Project
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL’25 | April 2025
  
  Publication
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  February 2025
  
  Publication
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- 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
  
  Preprint Project
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP’24 | November 2024
  
  Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- 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
  
  PDF Preprint Project
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI’25 | October 2024
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- 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
  
  Publication
- 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, Vol abs/2408.13510
  
  Preprint
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- 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
  
  Preprint
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- 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
  
  DOI PDF Project
- 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
  
  PDF Preprint Project
- 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
  
  PDF Preprint Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 2023
  
  Publication
- 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
  
  Publication Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- 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
  
  Preprint Project
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
  
  PDF Publication
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 Companion | April 2023
  
  Publication
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW’23 Companion | April 2023
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Published by Microsoft Research
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication Project
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- 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
  
  Publication PDF Preprint DOI
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- 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
  
  Publication
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, …, Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- 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
  
  Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  Publication Project
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication Project
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication Project
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI’21 | December 2021
  
  Publication Project Project Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF Project Project
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- 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
  
  PDF DOI Project
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Publication Author's Version Project Project
- Animated Presentation of Static Infographics with InfoMotion
  
  Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
  
  Computer Graphics Forum | June 2021
  
  Publication Project
- 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
  
  Publication Project Project
- 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
  
  Publication
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project Project Project
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project
- Iterative Utterance Segmentation for Neural Semantic Parsing
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  AAAI’21 | February 2021
  
  Author's Version Project
- 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
  
  Author's Version Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI Project
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE’20 | November 2020
  
  DOI Publication Project
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- 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
  
  Author's Version Project
- 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
  
  Publication
- 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
  
  Publication Project
- Hierarchical Poset Decoding for Compositional Generalization in Language
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  NeurIPS’20 | November 2020
  
  Publication Project
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, …, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- 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
  
  DOI Project
- 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
  
  Publication
- 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
  
  DOI Project
- 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
  
  Publication
- 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
  
  Publication Project Project
- 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
  
  Publication Project Project Project
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI’20 | February 2020
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Project
- 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
  
  Publication Project
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- 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, Vol 26(1): pp. 1107-1117
  
  DOI Publication Publication
- 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
  
  Publication Project
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, …, Qingwei Lin 林庆维, …
  
  ASE’19 | November 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, …
  
  ICDM’19 | October 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication PDF
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, …, Qingwei Lin, …
  
  FSE’19 | August 2019
  
  Publication
- 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
  
  Publication
- Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
  
  ACL19 | August 2019
  
  Publication Project
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, …, Qingwei Lin, …
  
  IJCAI’19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC’19 | July 2019
  
  PDF Publication
- 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
  
  Publication DOI Project
- 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
  
  Publication
- 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
  
  Published by Microsoft
  
  Accepted at NAACL 2019.
  
  Publication PDF Project Project
- 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
  
  Publication Project
- 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
  
  Publication Project
- 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
  
  Publication Project
- Identifying Impactful Service System Problems via Log Analysis
  
  Shilin He, Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- 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
  
  Author's Version DOI Project
- 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
  
  PDF DOI Project
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
  
  Qingwei Lin 林庆维, weichen Ke, …
  
  SigKDD 2018 | August 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, …, Qingwei Lin, …
  
  USENIX ATC 2018 | July 2018
  
  Publication
- 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
  
  Publication
- 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
  
  PDF DOI Project
- iDice: Problem Identification for Emerging Issues
  
  Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
  
  ICSE 2016 | January 2016
  
  Publication
- Log Clustering based Problem Identification for Online Service Systems
  
  Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
  
  SEIP, ICSE | January 2016
  
  Publication

- 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
  
  Preprint
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- 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
  
  Preprint Project
- 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
  
  Preprint Project
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR’25 | June 2025
  
  Preprint
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication Project
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL’25 | April 2025
  
  Publication
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  February 2025
  
  Publication
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP’24 | November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI’25 | October 2024
  
  Publication
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- 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
  
  Publication
- 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, Vol abs/2408.13510
  
  Preprint
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- 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
  
  Preprint
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- 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
  
  DOI PDF Project
- 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
  
  PDF Preprint Project
- 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
  
  PDF Preprint Project
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 2023
  
  Publication
- 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
  
  Publication Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- 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
  
  Preprint Project
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- 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
  
  PDF Publication
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 | April 2023
  
  DOI
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 Companion | April 2023
  
  Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW’23 Companion | April 2023
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Published by Microsoft Research
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- 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
  
  Publication
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- 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
  
  Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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, Vol 56(1): pp. 1-7
  
  DOI Project Project
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication Project
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication Project
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI’21 | December 2021
  
  Publication Project Project Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF Project Project
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- 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
  
  PDF DOI Project
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Publication Project Project
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project Project Project
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project
- Iterative Utterance Segmentation for Neural Semantic Parsing
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  AAAI’21 | February 2021
  
  Author's Version Project
- 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
  
  Author's Version Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI Project
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE’20 | November 2020
  
  DOI Publication Project
- 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
  
  Publication
- 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
  
  Publication Project
- Hierarchical Poset Decoding for Compositional Generalization in Language
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  NeurIPS’20 | November 2020
  
  Publication Project
- 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
  
  Author's Version Project
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, …, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- 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
  
  DOI Project
- 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
  
  DOI Project
- 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
  
  Publication Project Project Project
- 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
  
  Publication Project Project
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI’20 | February 2020
  
  Publication
- 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
  
  PDF Project
- 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
  
  Publication
- 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
  
  Publication Project
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- 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, Vol 26(1): pp. 1107-1117
  
  DOI Publication Publication
- 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
  
  Publication Project
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, …, Qingwei Lin 林庆维, …
  
  ASE’19 | November 2019
  
  Publication
- 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
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, …
  
  ICDM’19 | October 2019
  
  Publication
- 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
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, …, Qingwei Lin, …
  
  FSE’19 | August 2019
  
  Publication
- Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
  
  ACL19 | August 2019
  
  Publication Project
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, …, Qingwei Lin, …
  
  IJCAI’19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC’19 | July 2019
  
  PDF Publication
- 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
  
  Publication DOI Project
- 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
  
  Publication
- 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
  
  Published by Microsoft
  
  Accepted at NAACL 2019.
  
  Publication PDF Project Project
- 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
  
  Publication Project
- 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
  
  Publication Project
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
  
  Qingwei Lin 林庆维, weichen Ke, …
  
  SigKDD 2018 | August 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, …, Qingwei Lin, …
  
  USENIX ATC 2018 | July 2018
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint Project
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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, Vol 56(1): pp. 1-7
  
  DOI Project Project
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication Project
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI’21 | December 2021
  
  Publication Project Project Project
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF Project Project
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Publication Project Project
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project Project Project
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI Project
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE’20 | November 2020
  
  DOI Publication Project
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, …, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI’20 | February 2020
  
  Publication
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, …, Qingwei Lin 林庆维, …
  
  ASE’19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, …
  
  ICDM’19 | October 2019
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, …, Qingwei Lin, …
  
  FSE’19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, …, Qingwei Lin, …
  
  IJCAI’19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC’19 | July 2019
  
  PDF Publication
- Identifying Impactful Service System Problems via Log Analysis
  
  Shilin He, Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, …, Qingwei Lin, …
  
  USENIX ATC 2018 | July 2018
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint Project
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint Project
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- 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
  
  DOI PDF Project
- 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
  
  PDF Preprint Project
- 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
  
  PDF Preprint Project
- 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
  
  Publication Project
- 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
  
  Preprint Project
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  PDF Publication
- 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
  
  Published by Microsoft Research
  
  Publication Project
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  PDF DOI Project
- 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
  
  Publication Project Project Project
- 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
  
  Publication Project Project
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Preprint Project
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication Project
- 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, Vol abs/2504.14603
  
  DOI Publication Publication Project Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL’25 | April 2025
  
  Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- 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
  
  Preprint
- 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
  
  Preprint
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- 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
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, …, Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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, Vol 56(1): pp. 1-7
  
  DOI Project Project
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Publication Project Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI Project
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE’20 | November 2020
  
  DOI Publication Project
- 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
  
  Author's Version DOI Project
- 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
  
  PDF DOI Project
- Log Clustering based Problem Identification for Online Service Systems
  
  Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
  
  SEIP, ICSE | January 2016
  
  Publication
- iDice: Problem Identification for Emerging Issues
  
  Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
  
  ICSE 2016 | January 2016
  
  Publication
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL’25 | April 2025
  
  Publication
- 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, Vol abs/2408.13510
  
  Preprint
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, …, Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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, Vol 56(1): pp. 1-7
  
  DOI Project Project
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF Project Project
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- 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
  
  Publication Project
- 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
  
  Preprint Project
- 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
  
  Preprint Project
- 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
  
  Preprint Project
- 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
  
  PDF Preprint Project
- 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
  
  PDF Preprint Project
- 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
  
  PDF Preprint Project
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 2023
  
  Publication
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- 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
  
  Publication
- 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
  
  PDF Preprint Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 | April 2023
  
  DOI
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 Companion | April 2023
  
  Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW’23 Companion | April 2023
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication PDF Preprint DOI
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- 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
  
  Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  Publication Project
- 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
  
  Publication Project
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication Project
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI’21 | December 2021
  
  Publication Project Project Project
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF Project Project
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- 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
  
  PDF DOI Project
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Publication Author's Version Project Project
- 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
  
  Publication Project Project
- 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
  
  Publication
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project Project Project
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI Project
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE’20 | November 2020
  
  DOI Publication Project
- 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
  
  Publication
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, …, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- 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
  
  DOI Project
- 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
  
  DOI Project
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI’20 | February 2020
  
  Publication
- 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
  
  PDF Project
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- 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
  
  Publication Project
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, …, Qingwei Lin 林庆维, …
  
  ASE’19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, …
  
  ICDM’19 | October 2019
  
  Publication
- 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
  
  Publication PDF
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, …, Qingwei Lin, …
  
  FSE’19 | August 2019
  
  Publication
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, …, Qingwei Lin, …
  
  IJCAI’19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC’19 | July 2019
  
  PDF Publication
- 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
  
  Publication DOI Project
- 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
  
  Publication Project
- 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
  
  Author's Version DOI Project
- 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
  
  PDF DOI Project
- 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
  
  PDF DOI Project
- 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
  
  Preprint Project
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication PDF Preprint DOI
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  PDF DOI Project
- Animated Presentation of Static Infographics with InfoMotion
  
  Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
  
  Computer Graphics Forum | June 2021
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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, Vol 26(1): pp. 1107-1117
  
  DOI Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication PDF
- 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
  
  Publication
- 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
  
  Publication
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR’25 | June 2025
  
  Preprint
- 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
  
  DOI PDF Project
- 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
  
  Publication Project
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication Project
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, …, Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication Project
- 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
  
  Publication

- 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
  
  Preprint
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- 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
  
  Preprint Project
- 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
  
  Preprint Project
- Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
  
  Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  CVPR’25 | June 2025
  
  Preprint
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication Project
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL’25 | April 2025
  
  Publication
- 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
  
  Preprint Project
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint Project
- AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
  
  Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  EMNLP’24 | November 2024
  
  Preprint
- Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
  
  Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  IUI’25 | October 2024
  
  Publication
- 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
  
  Publication
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
  
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- 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
  
  PDF Preprint Project
- 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
  
  PDF Preprint Project
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE’24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- InsightPilot: An LLM-Empowered Automated Data Exploration System
  
  Rui Ding, Shi Han, Dongmei Zhang
  
  EMNLP 2023 | December 2023
  
  Publication
- 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
  
  Publication Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- 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
  
  Preprint Project
- Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
  
  Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  PDF Preprint Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- 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
  
  PDF Publication
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
  
  Zhengran Zeng, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
  
  Xiaohan Yan, …, Qingwei Lin 林庆维, …
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
  
  Zhenhao Li, Chuan Luo, T. Chen, Weiyi Shang, Shilin He, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 | April 2023
  
  DOI Publication Publication PDF Project
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 | April 2023
  
  DOI
- HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
  
  Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW ’23 Companion | April 2023
  
  Publication
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW’23 Companion | April 2023
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  PDF Preprint
- 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
  
  PDF Preprint
- 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
  
  Publication Project
- 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
  
  Preprint
- 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
  
  Preprint
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- 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
  
  Publication PDF Preprint DOI
- 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
  
  Preprint
- 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
  
  Preprint
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication Project Project
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication Project Project
- RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure
  
  Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin 林庆维, Murali Chintalapati
  
  OSDI’22 | July 2022
  
  Publication Project Project Project
- 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
  
  Publication
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- NetPanel: Traffic Measurement of Exchange Online Service
  
  Yu Chen, …, Qingwei Lin 林庆维
  
  NSDI 2023 | July 2022
  
  Publication Project
- 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
  
  Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- LOGIC: Log Intelligence in Cloud
  
  Lingling Zheng, Xu Zhang, Ze Li, Cong Chen, Shilin He, Liqun Li, Yu Kang, Yudong Liu, Qingwei Lin 林庆维, Yingnong Dang
  
  MLSys Cloud Intelligence Workshop | June 2022
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication Project
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
  
  Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin 林庆维
  
  ICLR 2022 | April 2022
  
  Publication Project
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
  
  Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
  
  IJCAI’21 | December 2021
  
  Publication Project Project Project
- 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
  
  Publication
- 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
  
  DOI
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF Project Project
- Effective Low Capacity Status Prediction for Cloud Systems
  
  Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- Onion: Identifying Incident-indicating Logs for Cloud Systems
  
  Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
  
  ESEC/FSE’21 Industry Track | August 2021
  
  Publication
- 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
  
  PDF DOI Project
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication Project Project
- 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
  
  Publication Author's Version Project Project
- 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
  
  Publication Project Project
- 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
  
  Publication
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project Project Project
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication Project
- Iterative Utterance Segmentation for Neural Semantic Parsing
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  AAAI’21 | February 2021
  
  Author's Version Project
- 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
  
  Author's Version Project
- How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
  
  Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  2020 Automated Software Engineering | December 2020
  
  DOI Project
- Identifying linked incidents in large-scale online service systems
  
  Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
  
  2020 Foundations of Software Engineering | November 2020
  
  Publication DOI
- Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
  
  Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
  
  ESEC/FSE’20 | November 2020
  
  DOI Publication Project
- 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
  
  Publication Project
- Hierarchical Poset Decoding for Compositional Generalization in Language
  
  Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
  
  NeurIPS’20 | November 2020
  
  Publication Project
- 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
  
  Author's Version Project
- Two-goal Local Search and Inference Rules for Minimum Dominating Set
  
  Shaowei Cai, …, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- Intelligent Virtual Machine Provisioning in Cloud Computing
  
  Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin 林庆维
  
  IJCAI 2020 | October 2020
  
  Publication Project
- 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
  
  DOI Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI Project
- 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
  
  Publication Project Project Project
- 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
  
  Publication Project Project
- An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure
  
  Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin 林庆维, Youjiang Wu, Sebastien Levy, Murali Chintalapati
  
  NSDI’20 | February 2020
  
  Publication
- 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
  
  PDF Project
- 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
  
  Publication
- 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
  
  Publication Project
- Prediction-Guided Design for Software Systems
  
  Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
  
  Cloud Intelligence Workshop, AAAI 2020 | January 2020
  
  Publication
- 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
  
  Publication Project
- Continuous Incident Triage for Large-Scale Online Service Systems
  
  Junjie Chen, …, Qingwei Lin 林庆维, …
  
  ASE’19 | November 2019
  
  Publication
- Neural Feature Search: A Neural Architecture for Automated Feature Engineering
  
  Xiangning Chen, Qingwei Lin 林庆维, …
  
  ICDM’19 | October 2019
  
  Publication
- 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
  
  Publication
- Robust Log-based Anomaly Detection on Unstable Log Data
  
  Xu Zhang, …, Qingwei Lin, …
  
  FSE’19 | August 2019
  
  Publication
- Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
  
  ACL19 | August 2019
  
  Publication Project
- Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
  
  Chuan Luo, …, Qingwei Lin, …
  
  IJCAI’19 | July 2019
  
  Publication
- Cross-dataset time series anomaly detection for cloud systems
  
  Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
  
  USENIX ATC’19 | July 2019
  
  PDF Publication
- 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
  
  Publication DOI Project
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication Project
- 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
  
  Publication Project
- Identifying Impactful Service System Problems via Log Analysis
  
  Shilin He, Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- Predicting Node Failure in Cloud Service Systems
  
  Qingwei Lin 林庆维, …
  
  ESEC/FSE 2018 | November 2018
  
  Publication
- 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
  
  Author's Version DOI Project
- 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
  
  PDF DOI Project
- BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
  
  Qingwei Lin 林庆维, weichen Ke, …
  
  SigKDD 2018 | August 2018
  
  Publication
- Improving Service Availability of Cloud Systems by Predicting Disk Error
  
  Yong Xu, …, Qingwei Lin, …
  
  USENIX ATC 2018 | July 2018
  
  Publication
- 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
  
  Publication
- 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
  
  PDF DOI Project
- Log Clustering based Problem Identification for Online Service Systems
  
  Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
  
  SEIP, ICSE | January 2016
  
  Publication
- iDice: Problem Identification for Emerging Issues
  
  Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
  
  ICSE 2016 | January 2016
  
  Publication
- 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, Vol abs/2504.14603
  
  DOI Publication Publication Project Project
- MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
  
  Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  February 2025
  
  Publication
- Enabling Autonomic Microservice Management through Self-Learning Agents
  
  Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  January 2025
  
  Preprint
- Sharingan: Extract user action sequence from desktop recordings
  
  Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  November 2024
  
  Preprint
- AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
  
  Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  September 2024
  
  Preprint
- 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, Vol abs/2408.13510
  
  Preprint
- The Vision of Autonomic Computing: Can LLMs Make It a Reality?
  
  Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  July 2024
  
  Preprint
- 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
  
  Preprint
- 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
  
  DOI PDF Project
- 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
  
  Publication
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  Publication Project
- 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
  
  Publication
- Animated Presentation of Static Infographics with InfoMotion
  
  Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
  
  Computer Graphics Forum | June 2021
  
  Publication Project
- 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
  
  Publication
- 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, Vol 26(1): pp. 1107-1117
  
  DOI Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication PDF
- 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
  
  Publication
- 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
  
  Published by Microsoft Research
  
  Publication Project
- 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
  
  Published by Microsoft
  
  Technical report – extension of OSDI'20 paper
  
  Publication Project
- 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
  
  Published by Microsoft
  
  Accepted at NAACL 2019.
  
  Publication PDF Project Project

Data, Knowledge, and Intelligence

Publications

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance

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

TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models

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

SWE-bench Goes Live!

Towards Cloud Efficiency with Large-scale Workload Characterization

UFO2: The Desktop AgentOS

UFO: A UI-Focused Agent for Windows OS Interaction

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Enabling Autonomic Microservice Management through Self-Learning Agents

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

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

CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning

Sharingan: Extract user action sequence from desktop recordings

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

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

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

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

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

Workload Intelligence: Punching Holes Through the Cloud Abstraction

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

Decomposed Meta-Learning for Few-Shot Sequence Labeling

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

UniLog: Automatic Logging via LLM and In-Context Learning

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

InsightPilot: An LLM-Empowered Automated Data Exploration System

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Assess and Summarize: Improve Outage Understanding with Large Language Models

STEAM: Observability-Preserving Trace Sampling

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

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

CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

XInsight: eXplainable Data Analysis Through The Lens of Causality

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

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

CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement

CONAN: Diagnosing Batch Failures for Cloud Systems

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems

Homophily-oriented Heterogeneous Graph Rewiring

Robust Mid-Pass Filtering Graph Convolutional Networks

ML4C: Seeing Causality Through Latent Vicinity

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

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering

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

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

Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing

Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy

Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution

Revisiting Code Search in a Two-Stage Paradigm

FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information

Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems

Neuron with Steady Response Leads to Better Generalization

RACE: Retrieval-augmented Commit Message Generation

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases

An Empirical Study of Log Analysis at Microsoft

Towards Natural Language-Based Visualization Authoring

A large-scale empirical study of commit message generation: models, datasets and evaluation

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima

TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation

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

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

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure

On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning

NetPanel: Traffic Measurement of Exchange Online Service

SPINE: A Scalable Log Parser with Feedback Guidance

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Investigating the Role and Interplay of Narrations and Animations in Data Videos