Healing online service systems via mining historical issue repositories. - Rui Ding 001; Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Dongmei Zhang 001; Jiajun Shen; Tao Xie 001 (ASE, 2012)

Performance Issue Diagnosis for Online Service Systems. - Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001; Zihao Ye; Tao Xie 001 (SRDS, 2012)

Software analytics for incident management of online services: An experience report. - Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (ASE, 2013)

Contextual analysis of program logs for understanding system behaviors. - Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001; Tao Xie 001 (MSR, 2013)

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. - Rui Ding 001; Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Dongmei Zhang 001; Tao Xie 001 (DSN, 2014)

Identifying Recurrent and Unknown Performance Issues. - Meng-Hui Lim; Jian-Guang Lou; Hongyu Zhang 002; Qiang Fu 015; Andrew Beng Jin Teoh; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001 (ICDM, 2014)

Where do developers log? an empirical study on logging practices in industry. - Qiang Fu 015; Jieming Zhu; Wenlu Hu; Jian-Guang Lou; Rui Ding 001; Qingwei Lin; Dongmei Zhang 001; Tao Xie 001 (ICSE Companion, 2014)

Correlating events with time series for incident diagnosis. - Chen Luo; Jian-Guang Lou; Qingwei Lin; Qiang Fu 015; Rui Ding 001; Dongmei Zhang 001; Zhe Wang 007 (KDD, 2014)

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. - Rui Ding 001; Hucheng Zhou; Jian-Guang Lou; Hongyu Zhang 002; Qingwei Lin; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (USENIX ATC, 2015)

How to tame your online services. - Qingwei Lin; Jian-Guang Lou; Hongyu Zhang 002; Dongmei Zhang 001 (Perspectives on Data Science for Software Engineering, 2016)

iDice: problem identification for emerging issues. - Qingwei Lin; Jian-Guang Lou; Hongyu Zhang 002; Dongmei Zhang 001 (ICSE, 2016)

Log clustering based problem identification for online service systems. - Qingwei Lin; Hongyu Zhang 002; Jian-Guang Lou; Yu Zhang; Xuewei Chen (ICSE (Companion Volume), 2016)

Experience report on applying software analytics in incident management of online service. - Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (Autom. Softw. Eng., 2017)

BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. - Qingwei Lin; Weichen Ke; Jian-Guang Lou; Hongyu Zhang 002; Kaixin Sui; Yong Xu 010; Ziyi Zhou; Bo Qiao 001; Dongmei Zhang 001 (KDD, 2018)

Identifying impactful service system problems via log analysis. - Shilin He; Qingwei Lin; Jian-Guang Lou; Hongyu Zhang 002; Michael R. Lyu; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2018)

Predicting Node failure in cloud service systems. - Qingwei Lin; Ken Hsieh; Yingnong Dang; Hongyu Zhang 002; Kaixin Sui; Yong Xu 010; Jian-Guang Lou; Chenggang Li; Youjiang Wu; Randolph Yao; Murali Chintalapati; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2018)

Improving Service Availability of Cloud Systems by Predicting Disk Error. - Yong Xu 010; Kaixin Sui; Randolph Yao; Hongyu Zhang 002; Qingwei Lin; Yingnong Dang; Peng Li 062; Keceng Jiang; Wenchi Zhang; Jian-Guang Lou; Murali Chintalapati; Dongmei Zhang 001 (USENIX ATC, 2018)

Neural Feature Search: A Neural Architecture for Automated Feature Engineering. - Xiangning Chen; Bo Qiao 001; Weiyi Zhang; Wei Wu 011; Murali Chintalapati; Dongmei Zhang 001; Qingwei Lin; Chuan Luo 002; Xudong Li; Hongyu Zhang 002; Yong Xu 010; Yingnong Dang; et al. (ICDM, 2019)

An empirical investigation of incident triage for online service systems. - Junjie Chen 003; Xiaoting He 003; Qingwei Lin; Yong Xu 010; Hongyu Zhang 002; Dan Hao 001; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ICSE (SEIP), 2019)

AIOps: real-world challenges and research innovations. - Yingnong Dang; Qingwei Lin; Peng Huang 005 (ICSE (Companion Volume), 2019)

Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. - Chuan Luo 002; Holger H. Hoos; Shaowei Cai 001; Qingwei Lin; Hongyu Zhang 002; Dongmei Zhang 001 (IJCAI, 2019)

Continuous Incident Triage for Large-Scale Online Service Systems. - Junjie Chen 003; Xiaoting He 003; Qingwei Lin; Hongyu Zhang 002; Dan Hao 001; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ASE, 2019)

Towards more efficient meta-heuristic algorithms for combinatorial test generation. - Jinkun Lin; Shaowei Cai 001; Chuan Luo 002; Qingwei Lin; Hongyu Zhang 002 (ESEC/SIGSOFT FSE, 2019)

Robust log-based anomaly detection on unstable log data. - Xu Zhang 024; Yong Xu 010; Qingwei Lin; Bo Qiao 001; Hongyu Zhang 002; Yingnong Dang; Chunyu Xie; Xinsheng Yang; Qian Cheng; Ze Li 005; Junjie Chen 003; Xiaoting He 003; et al. (ESEC/SIGSOFT FSE, 2019)

Cross-dataset Time Series Anomaly Detection for Cloud Systems. - Xu Zhang 024; Qingwei Lin; Yong Xu 010; Si Qin; Hongyu Zhang 002; Bo Qiao 001; Yingnong Dang; Xinsheng Yang; Qian Cheng; Murali Chintalapati; Youjiang Wu; Ken Hsieh; et al. (USENIX ATC, 2019)

Outage Prediction and Diagnosis for Cloud Service Systems. - Yujun Chen; Xian Yang 001; Qingwei Lin; Hongyu Zhang 002; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001; Hang Dong 004; Yong Xu 010; Hao Li; Yu Kang 006 (WWW, 2019)

Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning. - Xu Zhang 024; Yang Yao; Baile Xu; Lekun Mao; Furao Shen; Jian Zhao 013; Qingwei Lin (CoRR, 2019)

Two-goal Local Search and Inference Rules for Minimum Dominating Set. - Shaowei Cai 001; Wenying Hou; Yiyuan Wang 002; Chuan Luo 002; Qingwei Lin (IJCAI, 2020)

Intelligent Virtual Machine Provisioning in Cloud Computing. - Chuan Luo 002; Bo Qiao 001; Xin Chen; Pu Zhao 004; Randolph Yao; Hongyu Zhang 002; Wei Wu 011; Andrew Zhou; Qingwei Lin (IJCAI, 2020)

How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. - Junjie Chen 003; Shu Zhang; Xiaoting He 003; Qingwei Lin; Hongyu Zhang 002; Dan Hao 001; Yu Kang 006; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ASE, 2020)

Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure. - Ze Li 005; Qian Cheng; Ken Hsieh; Yingnong Dang; Peng Huang 005; Pankaj Singh; Xinsheng Yang; Qingwei Lin; Youjiang Wu; Sebastien Levy; Murali Chintalapati (NSDI, 2020)

Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. - Sebastien Levy; Randolph Yao; Youjiang Wu; Yingnong Dang; Peng Huang 005; Zheng Mu; Pu Zhao 004; Tarun Ramani; Naga K. Govindaraju; Xukun Li; Qingwei Lin; Gil Lapid Shafriri; et al. (OSDI, 2020)

Towards intelligent incident management: why we need it and how we make it. - Zhuangbin Chen; Yu Kang 006; Liqun Li; Xu Zhang 024; Hongyu Zhang 002; Hui Xu 009; Yangfan Zhou; Li Yang; Jeffrey Sun; Zhangwei Xu; Yingnong Dang; Feng Gao 022; et al. (ESEC/SIGSOFT FSE, 2020)

Identifying linked incidents in large-scale online service systems. - Yujun Chen; Xian Yang 001; Hang Dong 004; Xiaoting He 003; Hongyu Zhang 002; Qingwei Lin; Junjie Chen 003; Pu Zhao 004; Yu Kang 006; Feng Gao 022; Zhangwei Xu; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2020)

Efficient incident identification from multi-dimensional issue reports via meta-heuristic search. - Jiazhen Gu; Chuan Luo 002; Si Qin; Bo Qiao 001; Qingwei Lin; Hongyu Zhang 002; Ze Li 005; Yingnong Dang; Shaowei Cai 001; Wei Wu 011; Yangfan Zhou; Murali Chintalapati; et al. (ESEC/SIGSOFT FSE, 2020)

Efficient customer incident triage via linking with system incidents. - Jiazhen Gu; Jiaqi Wen; Zijian Wang; Pu Zhao 004; Chuan Luo 002; Yu Kang 006; Yangfan Zhou; Li Yang; Jeffrey Sun; Zhangwei Xu; Bo Qiao 001; Liqun Li; et al. (ESEC/SIGSOFT FSE, 2020)

How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. - Jiajun Jiang; Weihai Lu; Junjie Chen 003; Qingwei Lin; Pu Zhao 004; Yu Kang 006; Hongyu Zhang 002; Yingfei Xiong 001; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2020)

Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization. - Yi Chu; Chuan Luo 002; Holger H. Hoos; Qingwei Lin; Haihang You (CoRR, 2020)

NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem. - Jiejiang Chen; Shaowei Cai 001; Shiwei Pan; Yiyuan Wang 002; Qingwei Lin; Mengyu Zhao; Minghao Yin (AAAI, 2021)

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. - Chuan Luo 002; Bo Qiao 001; Wenqian Xing; Xin Chen; Pu Zhao 004; Chao Du; Randolph Yao; Hongyu Zhang 002; Wei Wu 011; Shaowei Cai 001; Bing He; Saravanakumar Rajmohan; et al. (AAAI, 2021)

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. - Chuan Luo 002; Pu Zhao 004; Chen Chen; Bo Qiao 001; Chao Du; Hongyu Zhang 002; Wei Wu 011; Shaowei Cai 001; Bing He; Saravanakumar Rajmohan; Qingwei Lin (AAAI, 2021)

CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. - Yong Xu 010; Xu Zhang 024; Chuan Luo 002; Si Qin; Rohit Pandey; Chao Du; Qingwei Lin; Yingnong Dang; Andrew Zhou (HAOC@EuroSys, 2021)

FastCA: An Effective and Efficient Tool for Combinatorial Covering Array Generation. - Jinkun Lin; Shaowei Cai 001; Bing He; Yingjie Fu; Chuan Luo 002; Qingwei Lin (ICSE (Companion Volume), 2021)

AutoCCAG: An Automated Approach to Constrained Covering Array Generation. - Chuan Luo 002; Jinkun Lin; Shaowei Cai 001; Xin Chen; Bing He; Bo Qiao 001; Pu Zhao 004; Qingwei Lin; Hongyu Zhang 002; Wei Wu 011; Saravanakumar Rajmohan; Dongmei Zhang 001 (ICSE, 2021)

Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. - Yaohui Wang 003; Guozheng Li 001; Zijian Wang; Yu Kang 006; Yangfan Zhou; Hongyu Zhang 002; Feng Gao 022; Jeffrey Sun; Li Yang; Pochian Lee; Zhangwei Xu; Pu Zhao 004; et al. (ICSE, 2021)

Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. - Hang Dong 004; Boshi Wang; Bo Qiao 001; Wenqian Xing; Chuan Luo 002; Si Qin; Qingwei Lin; Dongmei Zhang 001; Gurpreet Virdi; Thomas Moscibroda (IJCAI, 2021)

A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems. - Zhengxin Huang; Yuren Zhou; Chuan Luo 002; Qingwei Lin (IJCAI, 2021)

How Long Will it Take to Mitigate this Incident for Online Service Systems? - Weijing Wang; Junjie Chen 003; Lin Yang; Hongyu Zhang 002; Pu Zhao 004; Bo Qiao 001; Yu Kang 006; Qingwei Lin; Saravanakumar Rajmohan; Feng Gao 022; Zhangwei Xu; Yingnong Dang; et al. (ISSRE, 2021)

HALO: Hierarchy-aware Fault Localization for Cloud Systems. - Xu Zhang 024; Chao Du; Yifan Li; Yong Xu 010; Hongyu Zhang 002; Si Qin; Ze Li 005; Qingwei Lin; Yingnong Dang; Andrew Zhou; Saravanakumar Rajmohan; Dongmei Zhang 001 (KDD, 2021)

A Surrogate Objective Framework for Prediction+Programming with Soft Constraints. - Kai Yan; Jie Yan; Chuan Luo 002; Liting Chen; Qingwei Lin; Dongmei Zhang 001 (NeurIPS, 2021)

RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. - Pu Zhao 004; Chuan Luo 002; Cheng Zhou; Bo Qiao 001; Jiale He; Liangjie Zhang; Qingwei Lin (SIGIR, 2021)

Effective low capacity status prediction for cloud systems. - Hang Dong 004; Si Qin; Yong Xu 010; Bo Qiao 001; Shandan Zhou; Xian Yang 001; Chuan Luo 002; Pu Zhao 004; Qingwei Lin; Hongyu Zhang 002; Abulikemu Abuduweili; Sanjay Ramanujan; et al. (ESEC/SIGSOFT FSE, 2021)

LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage. - Chuan Luo 002; Binqi Sun; Bo Qiao 001; Junjie Chen 003; Hongyu Zhang 002; Jinkun Lin; Qingwei Lin; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2021)

Intelligent container reallocation at Microsoft 365. - Bo Qiao 001; Fangkai Yang; Chuan Luo 002; Yanan Wang; Johnny Li; Qingwei Lin; Hongyu Zhang 002; Mohit Datta; Andrew Zhou; Thomas Moscibroda; Saravanakumar Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2021)

Onion: identifying incident-indicating logs for cloud systems. - Xu Zhang 024; Yong Xu 010; Si Qin; Shilin He; Bo Qiao 001; Ze Li 005; Hongyu Zhang 002; Xukun Li; Yingnong Dang; Qingwei Lin; Murali Chintalapati; Saravanakumar Rajmohan; et al. (ESEC/SIGSOFT FSE, 2021)

Fighting the Fog of War: Automated Incident Detection for Cloud Systems. - Liqun Li; Xu Zhang 024; Xin Zhao; Hongyu Zhang 002; Yu Kang 006; Pu Zhao 004; Bo Qiao 001; Shilin He; Pochian Lee; Jeffrey Sun; Feng Gao 022; Li Yang; et al. (USENIX ATC, 2021)

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. - Chuan Luo 002; Pu Zhao 004; Bo Qiao 001; Youjiang Wu; Hongyu Zhang 002; Wei Wu 011; Weihai Lu; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin; Dongmei Zhang 001 (WWW, 2021)

A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints. - Kai Yan; Jie Yan; Chuan Luo 002; Liting Chen; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2021)

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property. - Boshi Wang; Jialin Yi; Hang Dong 004; Bo Qiao 001; Chuan Luo 002; Qingwei Lin (ICLR, 2022)

Search-based Diverse Sampling from Real-world Software Product Lines. - Yi Xiang; Han Huang 002; Yuren Zhou; Sizhe Li; Chuan Luo 002; Qingwei Lin; Miqing Li; Xiaowei Yang 003 (ICSE, 2022)

DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. - Chenxi Zhang 003; Xin Peng 001; Chaofeng Sha; Ke Zhang; Zhenqing Fu; Xiya Wu; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2022)

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. - Pu Zhao 004; Chuan Luo 002; Bo Qiao 001; Lu Wang 029; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (IJCAI, 2022)

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. - Yudong Liu; Hailan Yang; Pu Zhao 004; Minghua Ma; Chengwu Wen; Hongyu Zhang 002; Chuan Luo 002; Qingwei Lin; Chang Yi; Jiaojian Wang; Chenjian Zhang; Paul Wang; et al. (KDD, 2022)

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. - Lu Wang 029; Pu Zhao 004; Chao Du; Chuan Luo 002; Mengna Su; Fangkai Yang; Yudong Liu; Qingwei Lin; Min Wang; Yingnong Dang; Hongyu Zhang 002; Saravan Rajmohan; et al. (KDD, 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; Thomas Moscibroda; Saravan Rajmohan; Dongmei Zhang 001 (KDD, 2022)

RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. - Chang Lou; Cong Chen; Peng Huang 005; Yingnong Dang; Si Qin; Xinsheng Yang; Xukun Li; Qingwei Lin; Murali Chintalapati (OSDI, 2022)

An empirical study of log analysis at Microsoft. - Shilin He; Xu Zhang 024; Pinjia He; Yong Xu 010; Liqun Li; Yu Kang 006; Minghua Ma; Yining Wei; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

An empirical investigation of missing data handling in cloud node failure prediction. - Minghua Ma; Yudong Liu; Yuang Tong; Haozhe Li; Pu Zhao 004; Yong Xu 010; Hongyu Zhang 002; Shilin He; Lu Wang 029; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

SPINE: a scalable log parser with feedback guidance. - Xuheng Wang; Xu Zhang 024; Liqun Li; Shilin He; Hongyu Zhang 002; Yudong Liu; Lingling Zheng; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravanakumar Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2022)

UniParser: A Unified Log Parser for Heterogeneous Log Data. - Yudong Liu; Xu Zhang 024; Shilin He; Hongyu Zhang 002; Liqun Li; Yu Kang 006; Yong Xu 010; Minghua Ma; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (WWW, 2022)

Spot Virtual Machine Eviction Prediction in Microsoft Cloud. - Fangkai Yang; Bowen Pang; Jue Zhang; Bo Qiao 001; Lu Wang 029; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Iñigo Goiri; Eli Cortez; et al. (WWW (Companion Volume), 2022)

Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances. - Minghua Ma; Zhao Tian; Max Hort; Federica Sarro; Hongyu Zhang 002; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2022)

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. - Yichen Li 003; Xu Zhang 024; Shilin He; Zhuangbin Chen; Yu Kang 006; Jinyang Liu 002; Liqun Li; Yingnong Dang; Feng Gao 022; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; et al. (ACM SIGOPS Oper. Syst. Rev., 2022)

Distributed Evolution Strategies for Black-Box Stochastic Optimization. - Xiaoyu He 001; Zibin Zheng; Chuan Chen 001; Yuren Zhou; Chuan Luo 002; Qingwei Lin (IEEE Trans. Parallel Distributed Syst., 2022)

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. - Jiazhan Feng; Qingfeng Sun; Can Xu; Pu Zhao 004; Yaming Yang 001; Chongyang Tao; Dongyan Zhao 001; Qingwei Lin (ACL (1), 2023)

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. - Fangkai Yang; Lu Wang 029; Zhenyu Xu; Jue Zhang; Liqun Li; Bo Qiao 001; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Íñigo Goiri; et al. (ASPLOS (3), 2023)

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. - Xiaoting Qin; Minghua Ma; Yuheng Zhao; Jue Zhang; Chao Du; Yudong Liu; Anjaly Parayil; Chetan Bansal; Saravan Rajmohan; Íñigo Goiri; Eli Cortez; Si Qin; et al. (DSN, 2023)

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. - Fangkai Yang; Pu Zhao 004; Zezhong Wang 004; Lu Wang 029; Bo Qiao 001; Jue Zhang; Mohit Garg; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (EMNLP (Industry Track), 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICCV, 2023)

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. - Xu Zhang 024; Yuan Zhao; Ziang Cui; Liqun Li; Shilin He; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICLR, 2023)

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. - Zhenhao Li 002; Chuan Luo 002; Tse-Hsun Chen; Weiyi Shang; Shilin He; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2023)

CONAN: Diagnosing Batch Failures for Cloud Systems. - Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Hongyu Zhang 002; Minghua Ma; Yingnong Dang; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE-SEIP, 2023)

Incident-aware Duplicate Ticket Aggregation for Cloud Systems. - Jinyang Liu 002; Shilin He; Zhuangbin Chen; Liqun Li; Yu Kang 006; Xu Zhang 024; Pinjia He; Hongyu Zhang 002; Qingwei Lin; Zhangwei Xu; Saravan Rajmohan; Dongmei Zhang 001; et al. (ICSE, 2023)

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. - Xiaohan Yan; Ken Hsieh; Yasitha Liyanage; Minghua Ma; Murali Chintalapati; Qingwei Lin; Yingnong Dang; Dongmei Zhang 001 (ICSE-SEIP, 2023)

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. - Zhengran Zeng; Yuqun Zhang; Yong Xu 010; Minghua Ma; Bo Qiao 001; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xu Zhang 024; Hongyu Zhang 002; Xuedong Gao; Hao Fan; et al. (ICSE-SEIP, 2023)

PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem. - Yiyuan Wang 002; Chenghou Jin; Shaowei Cai 001; Qingwei Lin (IJCAI, 2023)

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. - Haozhe Li; Minghua Ma; Yudong Liu; Si Qin; Bo Qiao 001; Randolph Yao; Harshwardhan Chaturvedi; Tri Tran; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2023)

LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism. - Xuheng Wang; Jiaxing Song; Xu Zhang 024; Junshu Tang; Weihe Gao; Qingwei Lin (ASE, 2023)

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. - Lu Wang 029; Chaoyun Zhang; Ruomeng Ding; Yong Xu 010; Qihang Chen; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xuedong Gao; Hao Fan; Saravan Rajmohan; Qingwei Lin; et al. (KDD, 2023)

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. - Fangkai Yang; Jue Zhang; Lu Wang 029; Bo Qiao 001; Di Weng; Xiaoting Qin; Gregory Weber; Durgesh Nandini Das; Srinivasan Rakhunathan; Ranganathan Srikanth; Qingwei Lin; Dongmei Zhang 001 (KDD, 2023)

Robust Multimodal Failure Detection for Microservice Systems. - Chenyu Zhao; Minghua Ma; Zhenyu Zhong; Shenglin Zhang; Zhiyuan Tan 005; Xiao Xiong; LuLu Yu; Jiayi Feng; Yongqian Sun; Yuzhi Zhang; Dan Pei; Qingwei Lin; et al. (KDD, 2023)

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. - Zhangchi Zhu; Lu Wang 029; Pu Zhao 004; Chao Du; Wei Zhang 056; Hang Dong 004; Bo Qiao 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (KDD, 2023)

Conservative State Value Estimation for Offline Reinforcement Learning. - Liting Chen; Jie Yan; Zhengdao Shao; Lu Wang 029; Qingwei Lin; Saravanakumar Rajmohan; Thomas Moscibroda; Dongmei Zhang 001 (NeurIPS, 2023)

NetPanel: Traffic Measurement of Exchange Online Service. - Yu Chen; Liqun Li; Yu Kang 006; Boyang Zheng; Yehan Wang; More Zhou; Yuchao Dai; Zhenguo Yang; Brad Rutkowski; Jeff Mealiffe; Qingwei Lin (NSDI, 2023)

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Xiaomin Wu; Meng Zhang 025; Qingjun Chen; Xin Gao; Xuedong Gao; Hao Fan; Saravan Rajmohan; et al. (ESEC/SIGSOFT FSE, 2023)

STEAM: Observability-Preserving Trace Sampling. - Shilin He; Botao Feng; Liqun Li; Xu Zhang 024; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2023)

Assess and Summarize: Improve Outage Understanding with Large Language Models. - Pengxiang Jin; Shenglin Zhang; Minghua Ma; Haozhe Li; Yu Kang 006; Liqun Li; Yudong Liu; Bo Qiao 001; Chaoyun Zhang; Pu Zhao 004; Shilin He; Federica Sarro; et al. (ESEC/SIGSOFT FSE, 2023)

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. - Fangkai Yang; Wenjie Yin; Lu Wang 029; Tianci Li; Pu Zhao 004; Bo Liu; Paul Wang; Bo Qiao 001; Yudong Liu; Mårten Björkman; Saravan Rajmohan; Qingwei Lin; et al. (ESEC/SIGSOFT FSE, 2023)

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. - Tong Cheng; Hang Dong 004; Lu Wang 029; Bo Qiao 001; Si Qin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Thomas Moscibroda (WWW (Companion Volume), 2023)

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. - Qingwei Lin; Tianci Li; Pu Zhao 004; Yudong Liu; Minghua Ma; Lingling Zheng; Murali Chintalapati; Bo Liu; Paul Wang; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; et al. (WWW (Companion Volume), 2023)

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. - Haoxin Liu; Pu Zhao 004; Si Qin; Yong Shi 012; Mirror Xu; Qingwei Lin; Dongmei Zhang 001 (WWW (Companion Volume), 2023)

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. - Junjie Sheng; Lu Wang 029; Fangkai Yang; Bo Qiao 001; Hang Dong 004; Xiangfeng Wang; Bo Jin 003; Jun Wang 006; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (WWW, 2023)

Conservative State Value Estimation for Offline Reinforcement Learning. - Liting Chen; Jie Yan; Zhengdao Shao; Lu Wang 029; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2023)

Augmented Large Language Models with Parametric Knowledge Guiding. - Ziyang Luo; Can Xu; Pu Zhao 004; Xiubo Geng; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (CoRR, 2023)

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. - Zezhong Wang 004; Fangkai Yang; Pu Zhao 004; Lu Wang 029; Jue Zhang; Mohit Garg; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2023)

Introspective Tips: Large Language Model for In-Context Decision Making. - Liting Chen; Lu Wang 029; Hang Dong 004; Yali Du 001; Jie Yan; Fangkai Yang; Shuang Li 002; Pu Zhao 004; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain. - Zhenyu Zhong; Qiliang Fan; Jiacheng Zhang; Minghua Ma; Shenglin Zhang; Yongqian Sun; Qingwei Lin; Yuzhi Zhang; Dan Pei (CoRR, 2023)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. - Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao 004; Jianguang Lou; Chongyang Tao; Xiubo Geng; Qingwei Lin; Shifeng Chen; Dongmei Zhang 001 (CoRR, 2023)

Diffusion-based Time Series Data Imputation for Microsoft 365. - Fangkai Yang; Wenjie Yin; Lu Wang 029; Tianci Li; Pu Zhao 004; Bo Liu; Paul Wang; Bo Qiao 001; Yudong Liu; Mårten Björkman; Saravan Rajmohan; Qingwei Lin; et al. (CoRR, 2023)

TaskWeaver: A Code-First Agent Framework. - Bo Qiao 001; Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Chaoyun Zhang; Fangkai Yang; Hang Dong 004; Jue Zhang; Lu Wang 029; Minghua Ma; Pu Zhao 004; et al. (CoRR, 2023)

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Yuhang Chen; Chaoyun Zhang; Minghua Ma; Yudong Liu; Ruomeng Ding; Bowen Li 002; Shilin He; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (Proc. VLDB Endow., 2023)

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. - Shangding Gu; Bilgehan Sel; Yuhao Ding; Lu Wang 029; Qingwei Lin; Ming Jin 002; Alois Knoll (AAAI, 2024)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. - Sitao Cheng; Ziyuan Zhuang; Yong Xu 010; Fangkai Yang; Chaoyun Zhang; Xiaoting Qin; Xiang Huang 007; Ling Chen; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ACL (Findings), 2024)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Wei Zhang 056; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ACL (Findings), 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; Victor Rühle; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; et al. (ACL (Findings), 2024)

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Chetan Bansal; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Qi Zhang 066 (CIKM, 2024)

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. - Chaoyun Zhang; Randolph Yao; Si Qin; Ze Li 005; Shekhar Agrawal; Binit R. Mishra; Tri Tran; Minghua Ma; Qingwei Lin; Murali Chintalapati; Dongmei Zhang 001 (SoCC, 2024)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. - Kaikai An; Fangkai Yang; Junting Lu; Liqun Li; Zhixing Ren; Hao Huang; Lu Wang 029; Pu Zhao 004; Yu Kang 006; Hua Ding; Qingwei Lin; Saravan Rajmohan; et al. (ECAI, 2024)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. - Jia Fu; Xiaoting Qin; Fangkai Yang; Lu Wang 029; Jue Zhang; Qingwei Lin; Yubo Chen 001; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (EMNLP (Findings), 2024)

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. - Ziyuan Zhuang; Zhiyang Zhang; Sitao Cheng; Fangkai Yang; Jia Liu; Shujian Huang; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (EMNLP, 2024)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

WizardCoder: Empowering Code Large Language Models with Evol-Instruct. - Ziyang Luo; Can Xu; Pu Zhao 004; Qingfeng Sun; Xiubo Geng; Wenxiang Hu; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICLR, 2024)

WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. - Can Xu; Qingfeng Sun; Kai Zheng 021; Xiubo Geng; Pu Zhao 004; Jiazhan Feng; Chongyang Tao; Qingwei Lin; Daxin Jiang (ICLR, 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 006; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2024)

UniLog: Automatic Logging via LLM and In-Context Learning. - Junjielong Xu; Ziang Cui; Yuan Zhao; Xu Zhang 024; Shilin He; Pinjia He; Liqun Li; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICSE, 2024)

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2024)

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. - Yudong Liu; Minghua Ma; Pu Zhao 004; Tianci Li; Bo Qiao 001; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; et al. (ISSRE (Workshops), 2024)

Large Language Models Can Provide Accurate and Interpretable Incident Triage. - Zexin Wang; Jianhui Li; Minghua Ma; Ze Li 005; Yu Kang 006; Chaoyun Zhang; Chetan Bansal; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Changhua Pei; et al. (ISSRE, 2024)

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. - Zhaoyang Yu; Changhua Pei; Xin Wang 001; Minghua Ma; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (KDD, 2024)

SELF-GUARD: Empower the LLM to Safeguard Itself. - Zezhong Wang 004; Fangkai Yang; Lu Wang 029; Pu Zhao 004; Hongru Wang 003; Liang Chen 001; Qingwei Lin; Kam-Fai Wong (NAACL-HLT, 2024)

WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena. - Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao 004; Qingwei Lin; Jian-Guang Lou; Shifeng Chen; Yansong Tang; Weizhu Chen (NeurIPS, 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 2024)

SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation. - Tong Cheng; Hang Dong 004; Lu Wang 029; Bo Qiao 001; Qingwei Lin; Saravan Rajmohan; Thomas Moscibroda (UAI, 2024)

SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. - Chiming Duan; Fangkai Yang; Pu Zhao 004; Lingling Zheng; Yash Dagli; Yudong Liu; Qingwei Lin; Dongmei Zhang 001 (WWW (Companion Volume), 2024)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. - Zexin Wang; Changhua Pei; Minghua Ma; Xin Wang 001; Zhihan Li; Dan Pei; Saravan Rajmohan; Dongmei Zhang 001; Qingwei Lin; Haiming Zhang 002; Jianhui Li; Gaogang Xie (WWW, 2024)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. - Lu Wang 029; Mayukh Das; Fangkai Yang; Junjie Sheng; Bo Qiao 001; Hang Dong 004; Si Qin; Victor Rühle; Chetan Bansal; Eli Cortez; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. - Lu Wang 029; Mayukh Das; Fangkai Yang; Chao Du; Bo Qiao 001; Hang Dong 004; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Contrastive Learning with Negative Sampling Correction. - Lu Wang 029; Chao Du; Pu Zhao 004; Chuan Luo 002; Zhangchi Zhu; Bo Qiao 001; Wei Zhang 056; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Lingling Zheng; Ze Li 005; Yingnong Dang; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2024)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. - Kaikai An; Fangkai Yang; Liqun Li; Zhixing Ren; Hao Huang; Lu Wang 029; Pu Zhao 004; Yu Kang 006; Hua Ding; Qingwei Lin; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2024)

Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. - Dapeng Li 001; Hang Dong 004; Lu Wang 029; Bo Qiao 001; Si Qin; Qingwei Lin; Dongmei Zhang 001; Qi Zhang 066; Zhiwei Xu 005; Bin Zhang 052; Guoliang Fan (CoRR, 2024)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. - Jun Liu; Chaoyun Zhang; Jiaxu Qian; Minghua Ma; Si Qin; Chetan Bansal; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2024)

RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems. - Shuhan Liu; Yunfan Zhou; Lu Ying; Yuan Tian; Jue Zhang; Shandan Zhou; Weiwei Cui 001; Qingwei Lin; Thomas Moscibroda; Haidong Zhang; Di Weng; Yingcai Wu (CoRR, 2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. - Hang Dong 004; Liwen Zhu 003; Zhao Shan; Bo Qiao 001; Fangkai Yang; Si Qin; Chuan Luo 002; Qingwei Lin; Yuwen Yang; Gurpreet Virdi; Saravan Rajmohan; Dongmei Zhang 001; et al. (CoRR, 2024)

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. - Kaikai An; Fangkai Yang; Liqun Li; Junting Lu; Sitao Cheng; Lu Wang 029; Pu Zhao 004; Lele Cao; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena. - Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao 004; Qingwei Lin; Jianguang Lou; Shifeng Chen; Yansong Tang; Weizhu Chen (CoRR, 2024)

The Vision of Autonomic Computing: Can LLMs Make It a Reality? - Zhiyang Zhang; Fangkai Yang; Xiaoting Qin; Jue Zhang; Qingwei Lin; Gong Cheng 001; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2024)

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. - Mengkang Hu; Pu Zhao 004; Can Xu; Qingfeng Sun; Jianguang Lou; Qingwei Lin; Ping Luo 002; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2024)

Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. - Junting Lu; Zhiyang Zhang; Fangkai Yang; Jue Zhang; Lu Wang 029; Chao Du; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 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; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2024)

Token-level Proximal Policy Optimization for Query Generation. - Yichen Ouyang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chenghua Huang; Jianfeng Liu; Bochen Pang; Yaming Yang 001; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Saravan Rajmohan; et al. (CoRR, 2024)

Sharingan: Extract User Action Sequence from Desktop Recordings. - Yanting Chen; Yi Ren; Xiaoting Qin; Jue Zhang; Kehong Yuan; Lu Han; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2024)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; Ray Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (CoRR, 2024)

Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. - Xiangguo Sun; Hong Cheng 001; Hang Dong 004; Bo Qiao 001; Si Qin; Qingwei Lin (IEEE Trans. Knowl. Data Eng., 2024)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. - Huawen Feng; Pu Zhao 004; Qingfeng Sun; Can Xu; Fangkai Yang; Lu Wang 029; Qianli Ma 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (ACL (1), 2025)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. - Junting Lu; Zhiyang Zhang; Fangkai Yang; Jue Zhang; Lu Wang 029; Chao Du; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (ACL (1), 2025)

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. - Linghao Zhang; Junhao Wang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Jiaheng Wen; Chengxing Xie; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; et al. (ACL (Findings), 2025)

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval. - Yuanmin Tang; Jue Zhang; Xiaoting Qin; Jing Yu 007; Gaopeng Gou; Gang Xiong 001; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Wu 001 (CVPR, 2025)

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 006; Yuyi Liang; Xiaoyu Gou; Yajie Xue; Qingwei Lin; et al. (ICDE, 2025)

RuAG: Learned-rule-augmented Generation for Large Language Models. - Yudi Zhang 007; Pei Xiao 007; Lu Wang 029; Chaoyun Zhang; Meng Fang; Yali Du 001; Yevgeniy Puzyrev; Randolph Yao; Si Qin; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; et al. (ICLR, 2025)

Self-Evolved Reward Learning for LLMS. - Chenghua Huang; Zhizhen Fan; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zeqi Lin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ICLR, 2025)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. - Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao 004; Jian-Guang Lou; Chongyang Tao; Xiubo Geng; Qingwei Lin; Shifeng Chen; Yansong Tang; Dongmei Zhang 001 (ICLR, 2025)

OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? - Junjielong Xu; Qinan Zhang; Zhiqing Zhong; Shilin He; Chaoyun Zhang; Qingwei Lin; Dan Pei; Pinjia He; Dongmei Zhang 001; Qi Zhang 066 (ICLR, 2025)

Message from Cloud Intelligence / AIOps Workshop 2025 Chairs. - Jian Zhang 001; Qingwei Lin; Xin Peng 001 (AIOps, 2025)

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks. - Yingzhe Peng; Xiaoting Qin; Zhiyang Zhang; Jue Zhang; Qingwei Lin; Xu Yang 021; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (IUI, 2025)

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. - Mengkang Hu; Pu Zhao 004; Can Xu; Qingfeng Sun; Jian-Guang Lou; Qingwei Lin; Ping Luo 002; Saravan Rajmohan (KDD (1), 2025)

UFO: A UI-Focused Agent for Windows OS Interaction. - Chaoyun Zhang; Liqun Li; Shilin He; Xu Zhang 024; Bo Qiao 001; Si Qin; Minghua Ma; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (NAACL (Long Papers), 2025)

Large Action Models: From Inception to Implementation. - Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Junting Lu; Jiaxu Qian; Shilin He; Pu Zhao 004; Bo Qiao 001; He Huang; Si Qin; Qisheng Su; Jiayi Ye; et al. (Trans. Mach. Learn. Res., 2025)

Large Language Model-Brained GUI Agents: A Survey. - Chaoyun Zhang; Shilin He; Jiaxu Qian; Bowen Li 002; Liqun Li; Si Qin; Yu Kang 006; Minghua Ma; Guyue Liu; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; et al. (Trans. Mach. Learn. Res., 2025)

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. - Xing Zhang; Jiaheng Wen; Fangkai Yang; Pu Zhao 004; Yu Kang 006; Junhao Wang; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; et al. (CoRR, 2025)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation. - Minghua He; Fangkai Yang; Pu Zhao 004; Wenjie Yin; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2025)

Enabling Autonomic Microservice Management through Self-Learning Agents. - Fenglin Yu; Fangkai Yang; Xiaoting Qin; Zhiyang Zhang; Jue Zhang; Qingwei Lin; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2025)

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf. - Lingxiang Hu; Shurun Yuan; Xiaoting Qin; Jue Zhang; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance. - Chenghua Huang; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zhixu Li; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model. - Jiani Zheng; Lu Wang 029; Fangkai Yang; Chaoyun Zhang; Lingrui Mei; Wenjie Yin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones? - Yudi Zhang 007; Lu Wang 029; Meng Fang; Yali Du 001; Chenghua Huang; Jun Wang; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (CoRR, 2025)

API Agents vs. GUI Agents: Divergence and Convergence. - Chaoyun Zhang; Shilin He; Liqun Li; Si Qin; Yu Kang 006; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2025)

UFO2: The Desktop AgentOS. - Chaoyun Zhang; He Huang; Chiming Ni; Jian Mu; Si Qin; Shilin He; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chao Du; Liqun Li; Yu Kang 006; et al. (CoRR, 2025)

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. - Jiaxu Qian; Chendong Wang; Yifan Yang 004; Chaoyun Zhang; Huiqiang Jiang; Xufang Luo; Yu Kang 006; Qingwei Lin; Anlan Zhang; Shiqi Jiang; Ting Cao; Tianjun Mao; et al. (CoRR, 2025)

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning. - Mingrui Wu; Lu Wang 029; Pu Zhao 004; Fangkai Yang; Jianjin Zhang; Jianfeng Liu; Yuefeng Zhan; Weihao Han; Hao Sun 015; Jiayi Ji; Xiaoshuai Sun; Qingwei Lin; et al. (CoRR, 2025)

Text2Grad: Reinforcement Learning from Natural Language Feedback. - Hanyang Wang; Lu Wang 029; Chaoyun Zhang; Tianjun Mao; Si Qin; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)

SWE-bench Goes Live! - Linghao Zhang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Chengxing Xie; Junhao Wang; Maoquan Wang; Yufan Huang; Shengyu Fu; Elsie Nallipogu; Qingwei Lin; et al. (CoRR, 2025)

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. - Shangding Gu; Bilgehan Sel; Yuhao Ding; Lu Wang 029; Qingwei Lin; Alois Knoll; Ming Jin 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents. - Qianhui Wu; Kanzhi Cheng; Rui Yang 010; Chaoyun Zhang; Jianwei Yang; Huiqiang Jiang; Jian Mu; Baolin Peng; Bo Qiao 001; Reuben Tan; Si Qin; Lars Liden; et al. (CoRR, 2025)

LettinGo: Explore User Profile Generation for Recommendation System. - Lu Wang 029; Di Zhang; Fangkai Yang; Pu Zhao 004; Jianfeng Liu; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Weiwei Deng; Dongmei Zhang 001; Feng Sun 008; Qi Zhang 066 (CoRR, 2025)

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework. - Yue Chen; Minghua He; Fangkai Yang; Pu Zhao 004; Lu Wang 029; Yu Kang 006; Yifei Dong; Yuefeng Zhan; Hao Sun 015; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning. - Runchuan Zhu; Bowen Jiang; Lingrui Mei; Fangkai Yang; Lu Wang 029; Haoxiang Gao; Fengshuo Bai; Pu Zhao 004; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2025)