Method and application of active visual tracking based on illumination invariants. - Jie Su; Guisheng Yin; Lei Wang; Yongqian Sun; Zheng Liu (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Designing Buffer Capacity of Crosspoint-Queued Switch. - Guo Chen 001; Dan Pei; Youjian Zhao; Yongqian Sun (NPC, 2014)

Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning. - Dapeng Liu; Youjian Zhao; Haowen Xu; Yongqian Sun; Dan Pei; Jiao Luo; Xiaowei Jing; Mei Feng (Internet Measurement Conference, 2015)

Analyzing the impact of buffer capacity on crosspoint-queued switch performance. - Guo Chen 001; Youjian Zhao; Dan Pei; Yongqian Sun (J. Commun. Networks, 2016)

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)

Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild. - Yuan Meng 002; Shenglin Zhang; Zijie Ye; Benliang Wang; Zhi Wang; Yongqian Sun; Qitong Liu; Shuai Yang; Dan Pei (ICME, 2019)

Generic and Robust Localization of Multi-dimensional Root Causes. - Zeyan Li; Dan Pei; Chengyang Luo; Yiwei Zhao; Yongqian Sun; Kaixin Sui; Xiping Wang; Dapeng Liu; Xing Jin; Qi Wang (ISSRE, 2019)

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks. - Ruming Tang; Zheng Yang; Zeyan Li; Weibin Meng; Haixin Wang 003; Qi Li 002; Yongqian Sun; Dan Pei; Tao Wei 002; Yanfei Xu; Yan Liu 069 (INFOCOM, 2020)

FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System. - Ping Liu; Shenglin Zhang; Yongqian Sun; Yuan Meng 002; Jiahai Yang; Dan Pei (IPCCC, 2020)

Localizing Failure Root Causes in a Microservice through Causality Inference. - Yuan Meng 002; Shenglin Zhang; Yongqian Sun; Ruru Zhang; Zhilong Hu; Yiyin Zhang; Chenyang Jia; Zhaogang Wang; Dan Pei (IWQoS, 2020)

A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises. - Ruming Tang; Cheng Huang; Yanti Zhou; Haoxian Wu; Xianglin Lu; Yongqian Sun; Qi Li 002; Jinjin Li; Weiyao Huang; Siyuan Sun; Dan Pei (SecureComm (2), 2020)

Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks. - Shenglin Zhang; Lei Song; Ming Zhang; Ying Liu 024; Weibin Meng; Jiahao Bu; Sen Yang 001; Yongqian Sun; Dan Pei; Jun Xu 014; Yuzhi Zhang (IEEE Access, 2020)

Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels. - Shenglin Zhang; Chenyu Zhao; Yicheng Sui; Ya Su; Yongqian Sun; Yuzhi Zhang; Dan Pei; Yizhe Wang (ISSRE, 2021)

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)

Robust System Instance Clustering for Large-Scale Web Services. - Shenglin Zhang; Dongwen Li; Zhenyu Zhong; Jun Zhu; Minghan Liang; Jiexi Luo; Yongqian Sun; Ya Su; Sibo Xia; Zhongyou Hu; Yuzhi Zhang; Dan Pei; et al. (WWW, 2022)

Constructing Large-Scale Real-World Benchmark Datasets for AIOps. - Zeyan Li; Nengwen Zhao; Shenglin Zhang; Yongqian Sun; Pengfei Chen; Xidao Wen; Minghua Ma; Dan Pei (CoRR, 2022)

Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services. - Shenglin Zhang; Zhenyu Zhong; Dongwen Li; Qiliang Fan; Yongqian Sun; Man Zhu; Yuzhi Zhang; Dan Pei; Jiyan Sun; Yinlong Liu; Hui Yang; Yongqiang Zou (IEEE J. Sel. Areas Commun., 2022)

Online malicious domain name detection with partial labels for large-scale dependable systems. - Yongqian Sun; Kunlin Jian; Liyue Cui; Guifei Jiang; Shenglin Zhang; Yuzhi Zhang; Dan Pei (J. Syst. Softw., 2022)

Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services. - Yongqian Sun; Minghan Liang; Zeyu Che; Dongwen Li; Tinghua Zheng; Shenglin Zhang; Pengtian Zhu; Yuzhi Zhang; Dan Pei (ICWS, 2023)

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. - Dongwen Li; Shenglin Zhang; Yongqian Sun; Yang Guo; Zeyu Che; Shiqi Chen; Zhenyu Zhong; Minghan Liang; Minyi Shao; Mingjie Li 005; Shuyang Liu; Yuzhi Zhang; et al. (ISSRE, 2023)

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems. - Shenglin Zhang; Zhongjie Pan; Heng Liu; Pengxiang Jin; Yongqian Sun; Qianyu Ouyang; Jiaju Wang; Xueying Jia; Yuzhi Zhang; Hui Yang; Yongqiang Zou; Dan Pei (ISSRE, 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)

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)

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)

LogKG: Log Failure Diagnosis Through Knowledge Graph. - Yicheng Sui; Yuzhe Zhang; Jianjun Sun; Ting Xu; Shenglin Zhang; Zhengdan Li; Yongqian Sun; Fangrui Guo; Junyu Shen; Yuzhi Zhang; Dan Pei; Xiao Yang; et al. (IEEE Trans. Serv. Comput., 2023)

Robust Anomaly Clue Localization of Multi-Dimensional Derived Measure for Online Video Services. - Yongqian Sun; Daguo Cheng; Pengxiang Jin; Quan Ding; Shenglin Zhang; Xu Chen 054; Yuzhi Zhang; Minghan Liang; Dan Pei; Jianyan Zheng; Sen Luo; Xinyu Tang (IEEE Trans. Serv. Comput., 2023)

Robust Failure Diagnosis of Microservice System Through Multimodal Data. - Shenglin Zhang; Pengxiang Jin; Zihan Lin; Yongqian Sun; Bicheng Zhang; Sibo Xia; Zhengdan Li; Zhenyu Zhong; Minghua Ma; Wa Jin; Dai Zhang; Zhenyu Zhu; et al. (IEEE Trans. Serv. Comput., 2023)

Generic and robust root cause localization for multi-dimensional data in online service systems. - Zeyan Li; Junjie Chen 003; Yihao Chen; Chengyang Luo; Yiwei Zhao; Yongqian Sun; Kaixin Sui; Xiping Wang; Dapeng Liu; Xing Jin; Qi Wang; Dan Pei (J. Syst. Softw., 2023)

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters. - Yongqian Sun; Daguo Cheng; Tiankai Yang 001; Yuhe Ji; Shenglin Zhang; Man Zhu; Xiao Xiong; Qiliang Fan; Minghan Liang; Dan Pei; Tianchi Ma; Yu Chen (IEEE Trans. Computers, 2023)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models. - Haotian Si; Jianhui Li; Changhua Pei; Hang Cui 004; Jingwen Yang; Yongqian Sun; Shenglin Zhang; Jingjing Li; Haiming Zhang 002; Jing Han; Dan Pei; Gaogang Xie (ISSRE, 2024)

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. - Yongqian Sun; Yang Guo; Minghan Liang; Xidao Wen; Junhua Kuang; Shenglin Zhang; Hongbo Li; Kaixu Xia; Dan Pei (ISSRE (Workshops), 2024)

Exploring Hierarchical Patterns for Alert Aggregation in Supercomputers. - Yuan Yuan; Tongqing Zhou; Xiuhong Tan; Yongqian Sun; Yuqi Li; Zhixing Li; Zhiping Cai; Tiejun Li (ISSRE, 2024)

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)

Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing. - Shenglin Zhang; Xiao Xiong; Mengyao Li; Yongqian Sun; Yongxin Zhao; Xia Chen; Bowen Deng; Dan Pei (ISSRE (Workshops), 2024)

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models. - Shenglin Zhang; Pengtian Zhu; Minghua Ma; Jiagang Wang; Yongqian Sun; Dongwen Li; Jingyu Wang; Qianying Guo; Xiaolei Hua; Lin Zhu; Dan Pei (ISSRE (Workshops), 2024)

ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems. - Yongqian Sun; Binpeng Shi; Mingyu Mao; Minghua Ma; Sibo Xia; Shenglin Zhang; Dan Pei (ASE, 2024)

Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization. - Lei Tao; Shenglin Zhang; Zedong Jia; Jinrui Sun; Minghua Ma; Zhengdan Li; Yongqian Sun; Canqun Yang; Yuzhi Zhang; Dan Pei (ASE, 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)

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)

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis. - Shenglin Zhang; Sibo Xia; Wenzhao Fan; Binpeng Shi; Xiao Xiong; Zhenyu Zhong; Minghua Ma; Yongqian Sun; Dan Pei (CoRR, 2024)

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis. - Tianyu Cui; Shiyu Ma; Ziang Chen; Tong Xiao; Shimin Tao; Yilun Liu 001; Shenglin Zhang; Duoming Lin; Changchang Liu; Yuzhe Cai; Weibin Meng; Yongqian Sun; et al. (CoRR, 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)

Predicting Parameter Change's Effect on Cellular Network Time Series. - Mingjie Li 005; Yongqian Sun; Xiaolei Hua; Renkai Yu; Xinwen Fan; Lin Zhu; Junlan Feng; Dan Pei (CoRR, 2024)

No More Data Silos: Unified Microservice Failure Diagnosis With Temporal Knowledge Graph. - Shenglin Zhang; Yongxin Zhao; Sibo Xia; Shirui Wei; Yongqian Sun; Chenyu Zhao; Shiyu Ma; Junhua Kuang; Bolin Zhu; Lemeng Pan; Yicheng Guo; Dan Pei (IEEE Trans. Serv. Comput., 2024)

Bridging the Gap: LLM-Powered Transfer Learning for Log Anomaly Detection in New Software Systems. - Yicheng Sui; Xiaotian Wang; Tianyu Cui; Tong Xiao; Chenghao He; Shenglin Zhang; Yuzhi Zhang; Xiao Yang; Yongqian Sun; Dan Pei (ICDE, 2025)

LogLM: From Task-Based to Instruction-Based Automated Log Analysis. - Yilun Liu 001; Yuhe Ji; Shimin Tao; Minggui He; Weibin Meng; Shenglin Zhang; Yongqian Sun; Yuming Xie; Boxing Chen; Hao Yang 006 (SEIP@ICSE, 2025)

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)

LLM-Augmented Ticket Aggregation for Low-cost Mobile OS Defect Resolution. - Yongqian Sun; Bowen Hao; Xiaotian Wang; Chenyu Zhao; Yongxin Zhao; Binpeng Shi; Shenglin Zhang; Qiao Ge; Wenhu Li; Hua Wei; Dan Pei (SIGSOFT FSE Companion, 2025)

A Multimodal Intelligent Change Assessment Framework for Microservice Systems Based on Large Language Models. - Yongqian Sun; Tinghua Zheng; Xidao Wen; Weihua Kuang; Heng Liu; Shenglin Zhang; Chao Shen; Bo Wu; Dan Pei (SIGSOFT FSE Companion, 2025)

Privacy-preserving MTS anomaly detection for network devices through federated learning. - Shenglin Zhang; Ting Xu; Jun Zhu; Yongqian Sun; Pengxiang Jin; Binpeng Shi; Dan Pei (Inf. Sci., 2025)

Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder. - Yongqian Sun; Zihan Lin; Binpeng Shi; Shenglin Zhang; Shiyu Ma; Pengxiang Jin; Zhenyu Zhong; Lemeng Pan; Yicheng Guo; Dan Pei (ACM Trans. Softw. Eng. Methodol., 2025)

Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems. - Yongqian Sun; Minghan Liang; Shenglin Zhang; Zeyu Che; Zhiyao Luo; Dongwen Li; Yuzhi Zhang; Dan Pei; Lemeng Pan; Liping Hou (ACM Trans. Softw. Eng. Methodol., 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)

ClusterRCA: Network Failure Diagnosis in HPC Systems Using Multimodal Data. - Yongqian Sun; Xijie Pan; Xiao Xiong; Lei Tao; Jiaju Wang; Shenglin Zhang; Yuan Yuan; Yuqi Li; Kunlin Jian (CoRR, 2025)

Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning. - Yongqian Sun; Weihua Kuang; Chao Shen; Xidao Wen; Tinghua Zheng; Heng Liu; Shenglin Zhang; Bo Wu; Dan Pei (CoRR, 2025)