Maximizing Multi-scale Spatial Statistical Discrepancy. - Weishan Dong; Renjie Yao; Chunyang Ma; Changsheng Li; Lei Shi 002; Lu Wang 029; Yu Wang 021; Peng Gao 014; Junchi Yan (CIKM, 2014)

Personalized Prescription for Comorbidity. - Lu Wang 029; Wei Zhang 056; Xiaofeng He; Hongyuan Zha (DASFAA (2), 2018)

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. - Lu Wang 029; Wei Zhang 056; Xiaofeng He; Hongyuan Zha (KDD, 2018)

Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning. - Lu Wang 029; Wei Zhang 056; Xiaofeng He (DASFAA (2), 2019)

Learning Robust Representations with Graph Denoising Policy Network. - Lu Wang 029; Wenchao Yu; Wei Wang 010; Wei Cheng 002; Wei Zhang 056; Hongyuan Zha; Xiaofeng He; Haifeng Chen (ICDM, 2019)

Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. - Xinyun Chen; Lu Wang 029; Yizhe Hang; Heng Ge; Hongyuan Zha (ICLR, 2020)

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. - Lu Wang 029; Wenchao Yu; Xiaofeng He; Wei Cheng 002; Martin Renqiang Ren; Wei Wang 010; Bo Zong; Haifeng Chen; Hongyuan Zha (WWW, 2020)

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning. - Lu Wang 029; Xiaofu Chang; Shuang Li 002; Yunfei Chu; Hui Li 061; Wei Zhang 012; Xiaofeng He; Le Song; Jingren Zhou 001; Hongxia Yang (CoRR, 2021)

Explaining Point Processes by Learning Interpretable Temporal Logic Rules. - Shuang Li 002; Mingquan Feng; Lu Wang 029; Abdelmajid Essofi; Yufeng Cao; Junchi Yan; Le Song (ICLR, 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)

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)

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)

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)

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. - Lu Wang 029; Lei Han; Xinru Chen; Chengchang Li; Junzhou Huang; Weinan Zhang 001; Wei Zhang 056; Xiaofeng He; Dijun Luo (IEEE Trans. Neural Networks Learn. Syst., 2022)

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)

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)

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. - Yushan Jiang; Wenchao Yu; Dongjin Song; Lu Wang 029; Wei Cheng 002; Haifeng Chen (KDD, 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)

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (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)

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)

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)

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)

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)

Reinforcement Logic Rule Learning for Temporal Point Processes. - Chao Yang; Lu Wang 029; Kun Gao 003; Shuang Li 002 (CoRR, 2023)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Lu Wang 029; Ruoxi Jia 001; Ming Jin 002 (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)

Dynamic DAG Discovery for Interpretable Imitation Learning. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (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)

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)

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)

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)

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)

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)

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)

Interpretable Imitation Learning with Dynamic Causal Relations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (WSDM, 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)

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)

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)

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)

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)

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)

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)

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)

Te-PID: An Adaptive Erasure Coding Temperature Management System for Optimized Cloud Storage. - Pei Xiao 007; Lu Wang 029; Fangkai Yang; Guoqing Geng; Haoran Li; Jeff Zhu; Yu Kang 006; Yifan Li; Terry Chen; Yue Chen; Saravan Rajmohan; Qi Zhang 066 (SIGSOFT FSE Companion, 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)

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)

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)

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)

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)

Rebalancing Discriminative Responses for Knowledge Tracing. - Jiajun Cui; Hong Qian; Chanjin Zheng; Lu Wang 029; Mo Yu; Wei Zhang 056 (ACM Trans. Inf. Syst., 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)