Qingwei Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
121
Venues
28
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*ICSE18 papers
- A*ACL15 papers
- A*KDD14 papers
- A*EMNLP11 papers
- A*WWW10 papers
- A*ICLR8 papers
- A*IJCAI7 papers
- AISSRE6 papers
- A*AAAI4 papers
- AUSENIX4 papers
- ANAACL2 papers
- AEuroSys2 papers
- ADSN2 papers
- NationalNSDI2 papers
- A*OSDI2 papers
- A*ICDM2 papers
- A*CVPR1 paper
- A*ICDE1 paper
- AIUI1 paper
- ACIKM1 paper
- BCLOUD1 paper
- AECAI1 paper
- AUAI1 paper
- A*ASPLOS1 paper
- A*ICCV1 paper
- A*SIGIR1 paper
- AMSR1 paper
- BSRDS1 paper
Papers
121 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DUET: Joint Exploration of User-Item Profiles in Recommendation System. | Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents. | Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention. | Mengqi Liao, Lu Wang, Chaoyun Zhang, Bo Qiao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Huaiyu Wan |
| 2026 | ACL | RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository. | Zhiyuan Peng, Xin Yin, Pu Zhao, Fangkai Yang, Lu Wang, Ran Jia, Xu Chen, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals. | Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan |
| 2026 | ACL | EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video. | Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Wu |
| 2026 | ACL | Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs. | Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | Gradient-Guided Multi-Judge Prompt Optimization. | Chenzhuo Zhao, Xinda Wang, Pu Zhao, Yue Huang, Junting Lu, Ziqian Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | ACL | WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. | Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ACL | AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. | Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ACL | DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. | Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | CVPR | 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, Gaopeng Gou, Gang Xiong, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Wu |
| 2025 | EMNLP | 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, Shuzheng Si, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Baobao Chang |
| 2025 | EMNLP | ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation. | Minghua He, Yue Chen, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | EMNLP | Token-level Proximal Policy Optimization for Query Generation. | Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun |
| 2025 | EMNLP | ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM. | Lu Wang, Chiming Duan, Pu Zhao, Fangkai Yang, Yong Shi, Xuefeng Luo, Bingjing Xu, Weiwei Deng, Qingwei Lin, Dongmei Zhang |
| 2025 | EMNLP | Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents. | Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan |
| 2025 | EMNLP | From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models. | Jue Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | EMNLP | Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. | Xing Zhang, Jiaheng Wen, Fangkai Yang, Yu Kang, Pu Zhao, Junhao Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2025 | EMNLP | AdaptFlow: Adaptive Workflow Optimization via Meta-Learning. | Runchuan Zhu, Bowen Jiang, Lingrui Mei, Fangkai Yang, Lu Wang, Haoxiang Gao, Fengshuo Bai, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | ICDE | 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, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | ICLR | RuAG: Learned-rule-augmented Generation for Large Language Models. | Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | Self-Evolved Reward Learning for LLMS. | Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. | Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang |
| 2025 | ICLR | 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, Qi Zhang |
| 2025 | ICSE | Message from Cloud Intelligence / AIOps Workshop 2025 Chairs. | Jian Zhang, Qingwei Lin, Xin Peng |
| 2025 | ISSRE | An Empirical Study of Production Incidents in Generative AI Cloud Services. | Haoran Yan, Yinfang Chen, Minghua Ma, Ming Wen, Shan Lu, Shenglin Zhang, Tianyin Xu, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Chaoyun Zhang, Dongmei Zhang |
| 2025 | IUI | Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks. | Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | KDD | LettinGo: Explore User Profile Generation for Recommendation System. | Lu Wang, Di Zhang, Fangkai Yang, Pu Zhao, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang |
| 2025 | KDD | AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. | Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jian-Guang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan |
| 2025 | KDD | 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 |
| 2025 | NAACL | 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, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | AAAI | Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. | Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll |
| 2024 | ACL | 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, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | ACL | 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, Dongmei Zhang |
| 2024 | ACL | 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 Rhle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang |
| 2024 | CIKM | 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, Dongmei Zhang, Qi Zhang |
| 2024 | CLOUD | Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. | Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang |
| 2024 | ECAI | Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. | Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | EMNLP | AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. | Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | EMNLP | 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, Qi Zhang |
| 2024 | EuroSys | 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, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu |
| 2024 | ICLR | 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, Daxin Jiang |
| 2024 | ICLR | WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. | Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang |
| 2024 | ICSE | 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, Dongmei Zhang |
| 2024 | ICSE | 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, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2024 | ISSRE | Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. | Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ISSRE | Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. | Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ISSRE | Large Language Models Can Provide Accurate and Interpretable Incident Triage. | Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie |
| 2024 | KDD | Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. | Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei |
| 2024 | NAACL | SELF-GUARD: Empower the LLM to Safeguard Itself. | Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong |
| 2024 | WWW | SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. | Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang |
| 2024 | WWW | 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, Haiming Zhang, Jianhui Li, Gaogang Xie |
| 2024 | UAI | SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation. | Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Thomas Moscibroda |
| 2023 | ACL | 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 |
| 2023 | ASPLOS | 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, igo Goiri, Eli Cortez, Terry Yang, Victor Rhle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | DSN | 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, igo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang |
| 2023 | EMNLP | Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. | Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2023 | ICCV | 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, Daxin Jiang |
| 2023 | ICLR | Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. | Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2023 | IJCAI | PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem. | Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin |
| 2023 | ICSE | Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. | Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang |
| 2023 | ICSE | 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, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu |
| 2023 | ICSE | 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, Dongmei Zhang |
| 2023 | ICSE | 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 |
| 2023 | ICSE | TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. | Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | ISSRE | CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. | Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | KDD | Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. | Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | KDD | 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, Dongmei Zhang |
| 2023 | KDD | Robust Multimodal Failure Detection for Microservice Systems. | Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang |
| 2023 | KDD | 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, Saravan Rajmohan, Dongmei Zhang |
| 2023 | NSDI | 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 |
| 2023 | WWW | Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. | Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda |
| 2023 | WWW | EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. | Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2023 | WWW | HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. | Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang |
| 2023 | WWW | 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, Dongmei Zhang |
| 2022 | ICLR | 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 |
| 2022 | IJCAI | T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. | Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2022 | ICSE | Search-based Diverse Sampling from Real-world Software Product Lines. | Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang |
| 2022 | ICSE | 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, Dongmei Zhang |
| 2022 | KDD | Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. | Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | KDD | 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, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | KDD | 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 |
| 2022 | OSDI | 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, Murali Chintalapati |
| 2022 | WWW | 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, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | WWW | 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, Iigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rhle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2021 | AAAI | NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem. | Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin, Mengyu Zhao, Minghao Yin |
| 2021 | AAAI | 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, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | AAAI | PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. | Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | EuroSys | CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. | Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou |
| 2021 | IJCAI | Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. | Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda |
| 2021 | IJCAI | A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems. | Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin |
| 2021 | ICSE | FastCA: An Effective and Efficient Tool for Combinatorial Covering Array Generation. | Jinkun Lin, Shaowei Cai, Bing He, Yingjie Fu, Chuan Luo, Qingwei Lin |
| 2021 | ICSE | AutoCCAG: An Automated Approach to Constrained Covering Array Generation. | Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | ICSE | Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. | Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin |
| 2021 | ISSRE | 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, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang |
| 2021 | KDD | HALO: Hierarchy-aware Fault Localization for Cloud Systems. | Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | WWW | NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. | Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2021 | SIGIR | RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. | Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin |
| 2021 | USENIX | 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, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang |
| 2020 | IJCAI | Two-goal Local Search and Inference Rules for Minimum Dominating Set. | Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin |
| 2020 | IJCAI | 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 |
| 2020 | NSDI | Gandalf: 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, Youjiang Wu, Sebastien Levy, Murali Chintalapati |
| 2020 | OSDI | 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 K. Govindaraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati |
| 2019 | ICDM | Neural Feature Search: A Neural Architecture for Automated Feature Engineering. | Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang |
| 2019 | IJCAI | Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. | Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang |
| 2019 | ICSE | An empirical investigation of incident triage for online service systems. | Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang |
| 2019 | ICSE | AIOps: real-world challenges and research innovations. | Yingnong Dang, Qingwei Lin, Peng Huang |
| 2019 | WWW | Outage Prediction and Diagnosis for Cloud Service Systems. | Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang |
| 2019 | USENIX | Cross-dataset Time Series Anomaly Detection for Cloud Systems. | Xu Zhang, Qingwei Lin, 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 |
| 2018 | KDD | BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. | Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang |
| 2018 | USENIX | Improving Service Availability of Cloud Systems by Predicting Disk Error. | Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang |
| 2016 | ICSE | iDice: problem identification for emerging issues. | Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang |
| 2016 | ICSE | Log clustering based problem identification for online service systems. | Qingwei Lin, Hongyu Zhang, Jian-Guang Lou, Yu Zhang, Xuewei Chen |
| 2015 | USENIX | Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. | Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie |
| 2014 | DSN | Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. | Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Tao Xie |
| 2014 | ICDM | Identifying Recurrent and Unknown Performance Issues. | Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang |
| 2014 | ICSE | Where do developers log? an empirical study on logging practices in industry. | Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie |
| 2014 | KDD | Correlating events with time series for incident diagnosis. | Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang |
| 2013 | MSR | Contextual analysis of program logs for understanding system behaviors. | Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Tao Xie |
| 2012 | SRDS | Performance Issue Diagnosis for Online Service Systems. | Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Zihao Ye, Tao Xie |