Energy Model of SARA and Its Performance Analysis. - Bo Pang; Zhiyi Fang; Hongyu Sun 005; Ming Han; Xiaohui Nie (WISM, 2012)

Mining causality graph for automatic web-based service diagnosis. - Xiaohui Nie; Youjian Zhao; Kaixin Sui; Dan Pei; Yu Chen; Xianping Qu (IPCCC, 2016)

PieBridge: A Cross-DR scale Large Data Transmission Scheduling System. - Yuchao Zhang; Ke Xu 002; Guang Yao; Miao Zhang; Xiaohui Nie (SIGCOMM, 2016)

TCP WISE: One initial congestion window is not enough. - Xiaohui Nie; Youjian Zhao; Guo Chen 001; Kaixin Sui; Yazheng Chen; Dan Pei; Miao Zhang; Jiyang Zhang (IPCCC, 2017)

BDS: a centralized near-optimal overlay network for inter-datacenter data replication. - Yuchao Zhang; Junchen Jiang; Ke Xu 002; Xiaohui Nie; Martin J. Reed; Haiyang Wang; Guang Yao; Miao Zhang; Kai Chen 005 (EuroSys, 2018)

Reducing Web Latency Through Dynamically Setting TCP Initial Window with Reinforcement Learning. - Xiaohui Nie; Youjian Zhao; Dan Pei; Guo Chen 001; Kaixin Sui; Jiyang Zhang (IWQoS, 2018)

HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes. - Yongqian Sun; Youjian Zhao; Ya Su; Dapeng Liu; Xiaohui Nie; Yuan Meng 002; Shiwen Cheng; Dan Pei; Shenglin Zhang; Xianping Qu; Xuanyou Guo (IEEE Access, 2018)

FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation. - Ping Liu; Yu Chen; Xiaohui Nie; Jing Zhu 007; Shenglin Zhang; Kaixin Sui; Ming Zhang; Dan Pei (ISSRE, 2019)

Dynamic TCP Initial Windows and Congestion Control Schemes Through Reinforcement Learning. - Xiaohui Nie; Youjian Zhao; Zhihan Li; Guo Chen 001; Kaixin Sui; Jiyang Zhang; Zijie Ye; Dan Pei (IEEE J. Sel. Areas Commun., 2019)

Understanding and handling alert storm for online service systems. - Nengwen Zhao; Junjie Chen 003; Xiao Peng; Honglin Wang; Xinya Wu; Yuanzong Zhang; Zikai Chen; Xiangzhong Zheng; Xiaohui Nie; Gang Wang; Yong Wu; Fang Zhou; et al. (ICSE (SEIP), 2020)

Real-time incident prediction for online service systems. - Nengwen Zhao; Junjie Chen 003; Zhou Wang; Xiao Peng; Gang Wang; Yong Wu; Fang Zhou; Zhen Feng; Xiaohui Nie; Wenchi Zhang; Kaixin Sui; Dan Pei (ESEC/SIGSOFT FSE, 2020)

Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems. - Canhua Wu; Nengwen Zhao; Lixin Wang; Xiaoqin Yang; Shining Li; Ming Zhang; Xing Jin; Xidao Wen; Xiaohui Nie; Wenchi Zhang; Kaixin Sui; Dan Pei (ISSRE, 2021)

Practical Root Cause Localization for Microservice Systems via Trace Analysis. - Zeyan Li; Junjie Chen 003; Rui Jiao; Nengwen Zhao; Zhijun Wang; Shuwei Zhang; Yanjun Wu; Long Jiang; Leiqin Yan; Zikai Wang; Zhekang Chen; Wenchi Zhang; et al. (IWQoS, 2021)

Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems. - Minghua Ma; Shenglin Zhang; Junjie Chen 003; Jim Xu; Haozhe Li; Yongliang Lin; Xiaohui Nie; Bo Zhou; Yong Wang; Dan Pei (USENIX ATC, 2021)

DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models. - Wenxiao Chen; Xiaohui Nie; Mingliang Li; Dan Pei (CoRR, 2021)

BDS+: An Inter-Datacenter Data Replication System With Dynamic Bandwidth Separation. - Yuchao Zhang; Xiaohui Nie; Junchen Jiang; Wendong Wang 003; Ke Xu 002; Youjian Zhao; Martin J. Reed; Kai Chen 005; Haiyang Wang; Guang Yao (IEEE/ACM Trans. Netw., 2021)

Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems. - Xianglin Lu; Zhe Xie; Zeyan Li; Mingjie Li 005; Xiaohui Nie; Nengwen Zhao; Qingyang Yu; Shenglin Zhang; Kaixin Sui; Lin Zhu; Dan Pei (CCGRID, 2022)

Mining Fluctuation Propagation Graph Among Time Series with Active Learning. - Mingjie Li 005; Minghua Ma; Xiaohui Nie; Kanglin Yin; Li Cao; Xidao Wen; Zhiyun Yuan; Duogang Wu; Guoying Li; Wei Liu; Xin Yang; Dan Pei (DEXA (1), 2022)

Effective Attribute Selection for Multi-dimensional Root Cause Analysis. - Yiran Cheng; Bo Cheng; Pengxiang Jin; Yongqian Sun; Xiaohui Nie; Nengwen Zhao; Shenglin Zhang; Dan Pei (ISSRE, 2022)

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. - Mingjie Li 005; Zeyan Li; Kanglin Yin; Xiaohui Nie; Wenchi Zhang; Kaixin Sui; Dan Pei (KDD, 2022)

Actionable and interpretable fault localization for recurring failures in online service systems. - Zeyan Li; Nengwen Zhao; Mingjie Li 005; Xianglin Lu; Lixin Wang; Dongdong Chang; Xiaohui Nie; Li Cao; Wenchi Zhang; Kaixin Sui; Yanhua Wang; Xu Du; et al. (ESEC/SIGSOFT FSE, 2022)

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems. - Zeyan Li; Nengwen Zhao; Mingjie Li 005; Xianglin Lu; Lixin Wang; Dongdong Chang; Xiaohui Nie; Li Cao; Wenzhi Zhang; Kaixin Sui; Yanhua Wang; Xu Du; et al. (CoRR, 2022)

OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (CoRR, 2023)

LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices. - Shenglin Zhang; Zeyu Che; Zhongjie Pan; Xiaohui Nie; Yongqian Sun; Lemeng Pan; Dan Pei (ISSRE, 2024)

Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient. - Guanglei He; Xiaohui Nie; Ruming Tang; Kun Wang; Zhaoyang Yu; Xidao Wen; Kanglin Yin; Dan Pei (IWQoS, 2024)

End-to-End AutoML for Unsupervised Log Anomaly Detection. - Shenglin Zhang; Yuhe Ji; Jiaqi Luan; Xiaohui Nie; Ziang Chen; Minghua Ma; Yongqian Sun; Dan Pei (ASE, 2024)

Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. - Zhe Xie; Shenglin Zhang; Yitong Geng; Yao Zhang 009; Minghua Ma; Xiaohui Nie; Zhenhe Yao; Longlong Xu; Yongqian Sun; Wentao Li; Dan Pei (KDD, 2024)

Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. - Zhenhe Yao; Changhua Pei; Wenxiao Chen; Hanzhang Wang; Liangfei Su; Huai Jiang; Zhe Xie; Xiaohui Nie; Dan Pei (SIGSOFT FSE Companion, 2024)

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data. - Shenglin Zhang; Jun Zhu; Bowen Hao; Yongqian Sun; Xiaohui Nie; Jingwen Zhu; Xilin Liu; Xiaoqian Li; Yuchi Ma; Dan Pei (SIGSOFT FSE Companion, 2024)

Illuminating the Gray Zone: Non-intrusive Gray Failure Localization in Server Operating Systems. - Shenglin Zhang; Yongxin Zhao; Xiao Xiong; Yongqian Sun; Xiaohui Nie; Jiacheng Zhang; Fenglai Wang; Xian Zheng; Yuzhi Zhang; Dan Pei (SIGSOFT FSE Companion, 2024)

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management. - Yongqian Sun; Jiaju Wang; Zhengdan Li; Xiaohui Nie; Minghua Ma; Shenglin Zhang; Yuhe Ji; Lu Zhang; Wen Long; Hengmao Chen; Yongnan Luo; Dan Pei (CoRR, 2024)

AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices. - Yongqian Sun; Jiaju Wang; Zhengdan Li; Xiaohui Nie; Minghua Ma; Shenglin Zhang; Yuhe Ji; Lu Zhang; Wen Long; Hengmao Chen; Yongnan Luo; Dan Pei (SANER, 2025)

OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (SIGSOFT FSE Companion, 2025)

TrioXpert: An automated incident management framework for microservice system. - Yongqian Sun; Yu Luo; Xidao Wen; Yuan Yuan; Xiaohui Nie; Shenglin Zhang; Tong Liu; Xi Luo (CoRR, 2025)