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2020 – today
- 2024
- [j5]Xiangguo Sun
, Hong Cheng
, Hang Dong
, Bo Qiao
, Si Qin
, Qingwei Lin
:
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Trans. Knowl. Data Eng. 36(11): 5849-5859 (2024) - [c117]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. AAAI 2024: 21099-21106 - [c116]Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) 2024: 963-981 - [c115]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) 2024: 1638-1662 - [c114]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. ACL (Findings) 2024: 4275-4295 - [c113]Lu Wang
, Mayukh Das
, Fangkai Yang
, Chao Du
, Bo Qiao
, Hang Dong
, Chetan Bansal
, Si Qin
, Saravan Rajmohan
, Qingwei Lin
, Dongmei Zhang
, Qi Zhang
:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [c112]Chaoyun Zhang
, Randolph Yao
, Si Qin
, Ze Li
, Shekhar Agrawal
, Binit R. Mishra
, Tri Tran
, Minghua Ma
, Qingwei Lin
, Murali Chintalapati
, Dongmei Zhang
:
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. SoCC 2024: 361-379 - [c111]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:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c110]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. EMNLP 2024: 3392-3411 - [c109]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. EMNLP (Findings) 2024: 3875-3891 - [c108]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
:
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys 2024: 674-688 - [c107]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR 2024 - [c106]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang:
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. ICLR 2024 - [c105]Junjielong Xu
, Ziang Cui
, Yuan Zhao
, Xu Zhang
, Shilin He
, Pinjia He
, Liqun Li
, Yu Kang
, Qingwei Lin
, Yingnong Dang
, Saravan Rajmohan
, Dongmei Zhang
:
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE 2024: 14:1-14:12 - [c104]Yuxuan Jiang
, Chaoyun Zhang
, Shilin He
, Zhihao Yang
, Minghua Ma
, Si Qin
, Yu Kang
, Yingnong Dang
, Saravan Rajmohan
, Qingwei Lin
, Dongmei Zhang
:
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE 2024: 92:1-92:13 - [c103]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:
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. ISSRE (Workshops) 2024: 49-54 - [c102]Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. ISSRE 2024: 499-510 - [c101]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:
Large Language Models Can Provide Accurate and Interpretable Incident Triage. ISSRE 2024: 523-534 - [c100]Zhaoyang Yu
, Changhua Pei
, Xin Wang
, Minghua Ma
, Chetan Bansal
, Saravan Rajmohan
, Qingwei Lin
, Dongmei Zhang
, Xidao Wen
, Jianhui Li
, Gaogang Xie
, Dan Pei
:
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c99]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT 2024: 1648-1668 - [c98]Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jian-Guang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen:
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena. NeurIPS 2024 - [c97]Zhaoyang Yu
, Minghua Ma
, Chaoyun Zhang
, Si Qin
, Yu Kang
, Chetan Bansal
, Saravan Rajmohan
, Yingnong Dang
, Changhua Pei
, Dan Pei
, Qingwei Lin
, Dongmei Zhang
:
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion 2024: 38-49 - [c96]Chiming Duan
, Fangkai Yang
, Pu Zhao
, Lingling Zheng
, Yash Dagli
, Yudong Liu
, Qingwei Lin
, Dongmei Zhang
:
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. WWW (Companion Volume) 2024: 65-72 - [c95]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. WWW 2024: 3096-3105 - [i64]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i63]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i62]Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Contrastive Learning with Negative Sampling Correction. CoRR abs/2401.08690 (2024) - [i61]Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. CoRR abs/2402.00034 (2024) - [i60]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. CoRR abs/2402.02820 (2024) - [i59]Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
UFO: A UI-Focused Agent for Windows OS Interaction. CoRR abs/2402.07939 (2024) - [i58]Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR abs/2402.17531 (2024) - [i57]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. CoRR abs/2403.08593 (2024) - [i56]Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR abs/2403.12968 (2024) - [i55]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:
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR abs/2403.15157 (2024) - [i54]Dapeng Li, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Qi Zhang, Zhiwei Xu, Bin Zhang, Guoliang Fan:
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. CoRR abs/2404.17780 (2024) - [i53]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. CoRR abs/2405.01677 (2024) - [i52]Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. CoRR abs/2405.15370 (2024) - [i51]Shuhan Liu, Yunfan Zhou, Lu Ying, Yuan Tian, Jue Zhang, Shandan Zhou, Weiwei Cui, Qingwei Lin, Thomas Moscibroda, Haidong Zhang, Di Weng, Yingcai Wu:
RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems. CoRR abs/2405.15571 (2024) - [i50]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin:
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. CoRR abs/2405.16390 (2024) - [i49]Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. CoRR abs/2406.01047 (2024) - [i48]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i47]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR abs/2406.19251 (2024) - [i46]Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen:
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena. CoRR abs/2407.10627 (2024) - [i45]Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
The Vision of Autonomic Computing: Can LLMs Make It a Reality? CoRR abs/2407.14402 (2024) - [i44]Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang:
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. CoRR abs/2408.00764 (2024) - [i43]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. CoRR abs/2408.04259 (2024) - [i42]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - [i41]Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure. CoRR abs/2409.17642 (2024) - [i40]Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang:
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. CoRR abs/2410.17709 (2024) - [i39]Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks. CoRR abs/2410.24032 (2024) - [i38]Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Self-Evolved Reward Learning for LLMs. CoRR abs/2411.00418 (2024) - [i37]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, Qi Zhang:
Token-level Proximal Policy Optimization for Query Generation. CoRR abs/2411.00722 (2024) - [i36]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:
RuAG: Learned-rule-augmented Generation for Large Language Models. CoRR abs/2411.03349 (2024) - [i35]Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Sharingan: Extract User Action Sequence from Desktop Recordings. CoRR abs/2411.08768 (2024) - [i34]Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Large Language Model-Brained GUI Agents: A Survey. CoRR abs/2411.18279 (2024) - [i33]Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Large Action Models: From Inception to Implementation. CoRR abs/2412.10047 (2024) - [i32]Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. CoRR abs/2412.17395 (2024) - 2023
- [j4]Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. Proc. VLDB Endow. 17(3): 359-372 (2023) - [c94]Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin:
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. ACL (1) 2023: 7348-7363 - [c93]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 Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c92]Xiaoting Qin, Minghua Ma, Yuheng Zhao
, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang:
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. DSN 2023: 522-530 - [c91]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c90]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV 2023: 11172-11183 - [c89]Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. ICLR 2023 - [c88]Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP 2023: 138-149 - [c87]Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, Dongmei Zhang:
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. ICSE-SEIP 2023: 222-233 - [c86]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:
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. ICSE-SEIP 2023: 258-269 - [c85]Zhenhao Li
, Chuan Luo, Tse-Hsun Chen
, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang:
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. ICSE 2023: 830-842 - [c84]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:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c83]Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin:
PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem. IJCAI 2023: 5639-5647 - [c82]Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. ISSRE 2023: 298-308 - [c81]Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao
, Qingwei Lin:
LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism. ASE 2023: 141-152 - [c80]Zhangchi Zhu
, Lu Wang
, Pu Zhao
, Chao Du
, Wei Zhang
, Hang Dong
, Bo Qiao
, Qingwei Lin
, Saravan Rajmohan
, Dongmei Zhang
:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - [c79]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
:
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD 2023: 5116-5125 - [c78]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
:
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. KDD 2023: 5372-5381 - [c77]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
:
Robust Multimodal Failure Detection for Microservice Systems. KDD 2023: 5639-5649 - [c76]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. NeurIPS 2023 - [c75]Yu Chen, Liqun Li, Yu Kang, Boyang Zheng, Yehan Wang, More Zhou, Yuchao Dai, Zhenguo Yang, Brad Rutkowski, Jeff Mealiffe, Qingwei Lin:
NetPanel: Traffic Measurement of Exchange Online Service. NSDI 2023: 1541-1555 - [c74]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
, Dongmei Zhang
:
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE 2023: 1657-1668 - [c73]Shilin He
, Botao Feng
, Liqun Li
, Xu Zhang
, Yu Kang
, Qingwei Lin
, Saravan Rajmohan
, Dongmei Zhang
:
STEAM: Observability-Preserving Trace Sampling. ESEC/SIGSOFT FSE 2023: 1750-1761 - [c72]Ruomeng Ding
, Chaoyun Zhang
, Lu Wang
, Yong Xu
, Minghua Ma
, Xiaomin Wu
, Meng Zhang
, Qingjun Chen
, Xin Gao
, Xuedong Gao
, Hao Fan
, Saravan Rajmohan
, Qingwei Lin
, Dongmei Zhang
:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. ESEC/SIGSOFT FSE 2023: 1762-1773 - [c71]Fangkai Yang
, Wenjie Yin
, Lu Wang
, Tianci Li
, Pu Zhao
, Bo Liu
, Paul Wang
, Bo Qiao
, Yudong Liu
, Mårten Björkman
, Saravan Rajmohan
, Qingwei Lin
, Dongmei Zhang
:
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 2023: 2050-2055 - [c70]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
:
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) 2023: 371-375 - [c69]Haoxin Liu
, Pu Zhao, Si Qin
, Yong Shi
, Mirror Xu
, Qingwei Lin
, Dongmei Zhang
:
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. WWW (Companion Volume) 2023: 376-380 - [c68]Tong Cheng
, Hang Dong
, Lu Wang
, Bo Qiao
, Si Qin
, Qingwei Lin
, Dongmei Zhang
, Saravan Rajmohan
, Thomas Moscibroda
:
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) 2023: 391-395 - [c67]Junjie Sheng
, Lu Wang
, Fangkai Yang
, Bo Qiao
, Hang Dong
, Xiangfeng Wang
, Bo Jin
, Jun Wang
, Si Qin
, Saravan Rajmohan
, Qingwei Lin
, Dongmei Zhang
:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i31]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. CoRR abs/2302.06884 (2023) - [i30]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:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023) - [i29]Zhenhao Li, Chuan Luo, Tse-Hsun Chen
, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang:
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. CoRR abs/2304.11391 (2023) - [i28]Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
Augmented Large Language Models with Parametric Knowledge Guiding. CoRR abs/2305.04757 (2023) - [i27]Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR abs/2305.11541 (2023) - [i26]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i25]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:
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR abs/2305.15778 (2023) - [i24]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, Dongmei Zhang:
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR abs/2305.18084 (2023) - [i23]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:
Robust Multimodal Failure Detection for Microservice Systems. CoRR abs/2305.18985 (2023) - [i22]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR abs/2306.08568 (2023) - [i21]Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. CoRR abs/2307.00754 (2023) - [i20]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - [i19]Zhenyu Zhong
, Qiliang Fan, Jiacheng Zhang, Minghua Ma, Shenglin Zhang, Yongqian Sun, Qingwei Lin, Yuzhi Zhang, Dan Pei:
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain. CoRR abs/2308.00393 (2023) - [i18]