Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Qingwei Lin 林庆维
Partner Research Manager
Publications
Publications by Year
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Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
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
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
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
October 2024
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
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
ACL 2024 | August 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
July 2024
Preprint
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
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
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
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
March 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
TheWebConf'24 | February 2024
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
February 2024
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
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 2024 | February 2024
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Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
..., Qingwei Lin 林庆维, ...
December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
TaskWeaver: A Code-First Agent Framework
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
December 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ArXiv | November 2023, Vol abs/2311.04254
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
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
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
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
ACL 2023 | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang (姜大昕)
ICLR 2024 | June 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
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
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
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
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
NSDI | April 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
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An Empirical Study of Log Analysis at Microsoft
Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
2022 Foundations of Software Engineering (FSE) | November 2022
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
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
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 2022 | July 2022
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, ..., Qingwei Lin 林庆维
NSDI 2023 | July 2022
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
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
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
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
TheWebConf 2022 | April 2022
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Search-based Diverse Sampling from Real-world Software Product Lines
Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
ICSE 2022 | January 2022
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A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan, ..., Qingwei Lin 林庆维, ...
NeurIPS 2021 | December 2021
On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
IJCAI 2021 | December 2021
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 2021 | December 2021
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 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
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 | August 2021
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
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
Pu Zhao, ..., Qingwei Lin 林庆维, ...
SIGIR 2021 | June 2021
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
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
AAAI'21 | March 2021
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, ..., Qingwei Lin 林庆维
AAAI'21 | March 2021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
WWW (TheWebConf) 2021 | February 2021
AutoCCAG: An Automated Approach to Constrained Covering Array Generation
Chuan Luo, ..., Qingwei Lin 林庆维, ...
ICSE 2021 | January 2021
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Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
MSR-TR-2020-35 | December 2020
Published by Microsoft
Technical report - extension of OSDI'20 paper
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
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
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
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
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
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
Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, ..., Qingwei Lin 林庆维
IJCAI 2020 | October 2020
Efficient Customer Issue Triage via Linking with System Incidents
Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
ESEC/FSE 2020 Industry | October 2020
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
AIOps Innovations in Incident Management for Cloud Services
Zhuangbin Chen, ..., Qingwei Lin 林庆维
Cloud Intelligence Workshop, AAAI'20 | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
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Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, ..., Qingwei Lin 林庆维, ...
ASE'19 | November 2019
Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, ...
ICDM'19 | October 2019
Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, ..., Qingwei Lin, ...
FSE'19 | August 2019
Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
Jinkun Lin, ..., Qingwei Lin, ...
FSE'19 | August 2019
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, ..., Qingwei Lin, ...
IJCAI'19 | July 2019
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
AIOps: Real-World Challenges and Research Innovations
Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
ICSE'19, Technical Briefings | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
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Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, ...
SigKDD 2018 | August 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
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Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
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How to Tame Your Online Services
Qingwei Lin 林庆维, ...
Perspectives in Data Science for SE | 2016
iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
Log Clustering based Problem Identification for Online Service Systems
Qingwei Lin 林庆维, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei CHEN
SEIP, ICSE | January 2016
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Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
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Correlating Events with Time Series for Incident Diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
SigKDD'14 | July 2014
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
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Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
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Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
Performance Issue Diagnosis for Online Service Systems
Qiang Fu, ..., Qingwei Lin 林庆维, ...
the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
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Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
Publications by Research Area
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Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
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
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
October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
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
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
ACL 2024 | August 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
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
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
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
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
March 2024
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 2024 | February 2024
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
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
February 2024
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
TaskWeaver: A Code-First Agent Framework
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
December 2023
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
..., Qingwei Lin 林庆维, ...
December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ArXiv | November 2023, Vol abs/2311.04254
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
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
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
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
ACL 2023 | July 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang (姜大昕)
ICLR 2024 | June 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
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
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
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
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
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
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 2022 | July 2022
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
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
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
TheWebConf 2022 | April 2022
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
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Search-based Diverse Sampling from Real-world Software Product Lines
Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
ICSE 2022 | January 2022
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan, ..., Qingwei Lin 林庆维, ...
NeurIPS 2021 | December 2021
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 2021 | December 2021
On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
IJCAI 2021 | December 2021
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 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
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
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
Pu Zhao, ..., Qingwei Lin 林庆维, ...
SIGIR 2021 | June 2021
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
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, ..., Qingwei Lin 林庆维
AAAI'21 | March 2021
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
AAAI'21 | March 2021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
WWW (TheWebConf) 2021 | February 2021
AutoCCAG: An Automated Approach to Constrained Covering Array Generation
Chuan Luo, ..., Qingwei Lin 林庆维, ...
ICSE 2021 | January 2021
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
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
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
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
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
Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, ..., Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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
Efficient Customer Issue Triage via Linking with System Incidents
Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
ESEC/FSE 2020 Industry | October 2020
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
AIOps Innovations in Incident Management for Cloud Services
Zhuangbin Chen, ..., Qingwei Lin 林庆维
Cloud Intelligence Workshop, AAAI'20 | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, ..., Qingwei Lin 林庆维, ...
ASE'19 | November 2019
Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, ...
ICDM'19 | October 2019
Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
Jinkun Lin, ..., Qingwei Lin, ...
FSE'19 | August 2019
Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, ..., Qingwei Lin, ...
FSE'19 | August 2019
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, ..., Qingwei Lin, ...
IJCAI'19 | July 2019
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
AIOps: Real-World Challenges and Research Innovations
Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
ICSE'19, Technical Briefings | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, ...
SigKDD 2018 | August 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
How to Tame Your Online Services
Qingwei Lin 林庆维, ...
Perspectives in Data Science for SE | 2016
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
-
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
-
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
July 2024
Preprint
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
TheWebConf'24 | February 2024
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 2024 | February 2024
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
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
..., Qingwei Lin 林庆维, ...
December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
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
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
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
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
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
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
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 2022 | July 2022
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
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
TheWebConf 2022 | April 2022
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
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Search-based Diverse Sampling from Real-world Software Product Lines
Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
ICSE 2022 | January 2022
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 2021 | December 2021
On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
IJCAI 2021 | December 2021
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 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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 | August 2021
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 | August 2021
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
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
Pu Zhao, ..., Qingwei Lin 林庆维, ...
SIGIR 2021 | June 2021
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
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, ..., Qingwei Lin 林庆维
AAAI'21 | March 2021
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
AAAI'21 | March 2021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
WWW (TheWebConf) 2021 | February 2021
AutoCCAG: An Automated Approach to Constrained Covering Array Generation
Chuan Luo, ..., Qingwei Lin 林庆维, ...
ICSE 2021 | January 2021
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
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
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
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
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
Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, ..., Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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
Efficient Customer Issue Triage via Linking with System Incidents
Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
ESEC/FSE 2020 Industry | October 2020
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
AIOps Innovations in Incident Management for Cloud Services
Zhuangbin Chen, ..., Qingwei Lin 林庆维
Cloud Intelligence Workshop, AAAI'20 | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, ..., Qingwei Lin 林庆维, ...
ASE'19 | November 2019
Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, ...
ICDM'19 | October 2019
Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
Jinkun Lin, ..., Qingwei Lin, ...
FSE'19 | August 2019
Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, ..., Qingwei Lin, ...
FSE'19 | August 2019
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, ..., Qingwei Lin, ...
IJCAI'19 | July 2019
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
AIOps: Real-World Challenges and Research Innovations
Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
ICSE'19, Technical Briefings | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
How to Tame Your Online Services
Qingwei Lin 林庆维, ...
Perspectives in Data Science for SE | 2016
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
-
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
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 2024 | February 2024
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
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
February 2024
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
NSDI | April 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
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
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
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 2022 | July 2022
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
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, ..., Qingwei Lin 林庆维
NSDI 2023 | July 2022
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
TheWebConf 2022 | April 2022
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
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 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
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
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
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
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
-
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
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 2024 | February 2024
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
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
..., Qingwei Lin 林庆维, ...
December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
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
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
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
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
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
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
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
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 2022 | July 2022
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
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
TheWebConf 2022 | April 2022
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
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Search-based Diverse Sampling from Real-world Software Product Lines
Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
ICSE 2022 | January 2022
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 2021 | December 2021
On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
IJCAI 2021 | December 2021
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 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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 | August 2021
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 | August 2021
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
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
Pu Zhao, ..., Qingwei Lin 林庆维, ...
SIGIR 2021 | June 2021
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
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, ..., Qingwei Lin 林庆维
AAAI'21 | March 2021
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
AAAI'21 | March 2021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
WWW (TheWebConf) 2021 | February 2021
AutoCCAG: An Automated Approach to Constrained Covering Array Generation
Chuan Luo, ..., Qingwei Lin 林庆维, ...
ICSE 2021 | January 2021
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
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
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
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
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
Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, ..., Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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
Efficient Customer Issue Triage via Linking with System Incidents
Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
ESEC/FSE 2020 Industry | October 2020
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
AIOps Innovations in Incident Management for Cloud Services
Zhuangbin Chen, ..., Qingwei Lin 林庆维
Cloud Intelligence Workshop, AAAI'20 | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, ..., Qingwei Lin 林庆维, ...
ASE'19 | November 2019
Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, ...
ICDM'19 | October 2019
Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
Jinkun Lin, ..., Qingwei Lin, ...
FSE'19 | August 2019
Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, ..., Qingwei Lin, ...
FSE'19 | August 2019
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, ..., Qingwei Lin, ...
IJCAI'19 | July 2019
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
AIOps: Real-World Challenges and Research Innovations
Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
ICSE'19, Technical Briefings | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
How to Tame Your Online Services
Qingwei Lin 林庆维, ...
Perspectives in Data Science for SE | 2016
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
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Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
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 2024 | February 2024
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
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
February 2024
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
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
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
NSDI | April 2023
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
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
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 2022 | July 2022
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
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, ..., Qingwei Lin 林庆维
NSDI 2023 | July 2022
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
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
TheWebConf 2022 | April 2022
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
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
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
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
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
Efficient Customer Issue Triage via Linking with System Incidents
Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
ESEC/FSE 2020 Industry | October 2020
AIOps: Real-World Challenges and Research Innovations
Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
ICSE'19, Technical Briefings | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
How to Tame Your Online Services
Qingwei Lin 林庆维, ...
Perspectives in Data Science for SE | 2016
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
iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
Correlating Events with Time Series for Incident Diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
SigKDD'14 | July 2014
Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
Performance Issue Diagnosis for Online Service Systems
Qiang Fu, ..., Qingwei Lin 林庆维, ...
the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
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LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
ACL 2023 | July 2023
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NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, ..., Qingwei Lin 林庆维
NSDI 2023 | July 2022
Publications by Type
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Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System
Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
TKDE’24 | November 2024
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
October 2024
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
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
PVLDB'24 | July 2024, Vol abs/2307.00754
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
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
March 2024
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ArXiv | November 2023, Vol abs/2311.04254
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
Haozhe Li, Ming-Jie Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) | October 2023, pp. 298-308
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem
Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin 林庆维
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) | August 2023, pp. 5639-5647
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
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
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AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
EMNLP'24 | November 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
ACL 2024 | August 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
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
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
TheWebConf'24 | February 2024
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 2024 | February 2024
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
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR'23 | December 2023
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems
..., Qingwei Lin 林庆维, ...
December 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang
ICCV'23 | December 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
FSE'23 Industry | November 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | November 2023
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
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
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Ming-Jie Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
FSE'23 Industry | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism
Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维
ASE'23 | September 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | August 2023
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
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang
KDD'23 | August 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin 林庆维
ACL 2023 | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang (姜大昕)
ICLR 2024 | June 2023
Robust Multimodal Failure Detection for Microservice Systems
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
KDD'23 ADS | May 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Zezhong Wang, Fan Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin 林庆维, Dongmei Zhang
EMNLP'23 Industry | May 2023
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
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
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems
Zhengran Zeng, ..., Qingwei Lin 林庆维, ...
ICSE 2023 SEIP | May 2023
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
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, ..., Qingwei Lin 林庆维, ...
ICSE 2023 | May 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, T. Moscibroda
WWW’23 industry | April 2023
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin 林庆维, Dongmei Zhang
WWW’23 industry | April 2023
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
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
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
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin 林庆维
NSDI | April 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
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
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
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
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 2022 | July 2022
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
NetPanel: Traffic Measurement of Exchange Online Service
Yu Chen, ..., Qingwei Lin 林庆维
NSDI 2023 | July 2022
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
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Yudong Liu, ..., Qingwei Lin 林庆维, ...
SIGKDD 2022 | May 2022
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
TheWebConf 2022 | April 2022
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
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
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, ..., Qingwei Lin 林庆维, ...
IJCAI 2022 | March 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Search-based Diverse Sampling from Real-world Software Product Lines
Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin 林庆维, Miqing Li, Xiaowei Yang
ICSE 2022 | January 2022
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan, ..., Qingwei Lin 林庆维, ...
NeurIPS 2021 | December 2021
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 2021 | December 2021
On the Convergence of Typical Decomposition Approaches in MOEA/D for Many-objective Optimization Problems
Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin 林庆维
IJCAI 2021 | December 2021
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 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
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 | August 2021
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 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
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
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
Pu Zhao, ..., Qingwei Lin 林庆维, ...
SIGIR 2021 | June 2021
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
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
Chuan Luo, ..., Qingwei Lin 林庆维
AAAI'21 | March 2021
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Jiejiang Chen, ..., Qingwei Lin 林庆维, ...
AAAI'21 | March 2021
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo, Pu Zhao, ..., Qingwei Lin 林庆维, ...
WWW (TheWebConf) 2021 | February 2021
AutoCCAG: An Automated Approach to Constrained Covering Array Generation
Chuan Luo, ..., Qingwei Lin 林庆维, ...
ICSE 2021 | January 2021
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin 林庆维, Gil Lapid Shafriri, Murali Chintalapati
OSDI'20 | December 2020
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
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
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
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
Two-goal Local Search and Inference Rules for Minimum Dominating Set
Shaowei Cai, ..., Qingwei Lin 林庆维
IJCAI 2020 | October 2020
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
Efficient Customer Issue Triage via Linking with System Incidents
Jiazhen Gu, ..., Qingwei Lin 林庆维, ...
ESEC/FSE 2020 Industry | October 2020
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
AIOps Innovations in Incident Management for Cloud Services
Zhuangbin Chen, ..., Qingwei Lin 林庆维
Cloud Intelligence Workshop, AAAI'20 | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Continuous Incident Triage for Large-Scale Online Service Systems
Junjie Chen, ..., Qingwei Lin 林庆维, ...
ASE'19 | November 2019
Neural Feature Search: A Neural Architecture for Automated Feature Engineering
Xiangning Chen, Qingwei Lin 林庆维, ...
ICDM'19 | October 2019
Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation
Jinkun Lin, ..., Qingwei Lin, ...
FSE'19 | August 2019
Robust Log-based Anomaly Detection on Unstable Log Data
Xu Zhang, ..., Qingwei Lin, ...
FSE'19 | August 2019
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, ..., Qingwei Lin, ...
IJCAI'19 | July 2019
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
AIOps: Real-World Challenges and Research Innovations
Yingnong Dang, Qingwei Lin 林庆维, Peng Huang
ICSE'19, Technical Briefings | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, ...
SigKDD 2018 | August 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
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
iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
Correlating Events with Time Series for Incident Diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
SigKDD'14 | July 2014
Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
Performance Issue Diagnosis for Online Service Systems
Qiang Fu, ..., Qingwei Lin 林庆维, ...
the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang
ICLR’23 | December 1969
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Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维
December 2024
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
July 2024
Preprint
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
February 2024
TaskWeaver: A Code-First Agent Framework
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
December 2023
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Narya: Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
MSR-TR-2020-35 | December 2020
Published by Microsoft
Technical report - extension of OSDI'20 paper
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How to Tame Your Online Services
Qingwei Lin 林庆维, ...
Perspectives in Data Science for SE | 2016