百晓学者学者目录

张圣林

副教授、教授、研究员、硕士生导师、讲师，南开大学

精选作品

期刊论文

2026

FSLog: A Federated Split Learning Framework for Privacy-Protected and Computation-Efficient Syslog Fault Diagnosis in IoT Networks

Ting Xu, Shenglin Zhang, Zeyu Che, Yong-Qian Sun, Wen-Wei Gu, Yi-Cheng Sui, Sibo Xia, Zi-Jing Que, Wei-Yi Shang, Kun-Di Yao, Jiayi Ma, Dan Pei

IEEE Internet of Things Journal

DOI

2026

Which Types of Heterogeneity Matter for Root Cause Localization in Microservice Systems ?

Runzhou Wang, Shenglin Zhang, Wen-Wei Gu, Yong-Xin Zhao, Chen-Yu Zhao, Dan Pei, Yuxuan Chen, Yangyuxin Huang

arXiv.org

DOI

2026

When LLMs Listen to Experts: Accurate Failure Diagnosis in Operating Systems

Yong-Xin Zhao, Shenglin Zhang, Yu-Xin Sun, Wen-Wei Gu, Yong-Qian Sun, Lu-Ping Wang, Li Shi, Cheng-Ling Huang, Guo-Dong Yang, Li-Ping Zhang, Dan Pei

SEIP@ICSE

DOI

2026

Expanding Guard Reach: Online Learning-Driven Incremental Kernel Panic Diagnosis

Yicheng Sui, Xiaotian Wang, Hailin Zhang, Shenglin Zhang, Binhong Jiang, Heng Zheng, Yongqian Sun, Yuzhi Zhang, Yang Zhang, Xin Wu, Liangyan Peng, Linlin Han, Feng Wang, Xiaozhou Liu, Yu Zhang

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2026

LLM-Assisted Joint Ticket and Log Analysis for Incident Triage in Intelligent and Connected Vehicles

Ruowei Fu, Shenglin Zhang, Wenwei Gu, Weiguo Li, Yongqian Sun, Dan Pei

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2026

MERA: A Multi-expert LLM Framework for Severity Assessment of User Tickets in Mobile OS Beta Testing

Yongqian Sun, Yimin Zuo, Qingliang Zhang, Bowen Hao, Wenwei Gu, Jiaqi Luan, Sixu Zhou, Shenglin Zhang, Dan Pei

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2026

Collaborative Knowledge Distillation and Reinforcement Learning for Automated Ticket Triage in Large-Scale Production Systems

Ruowei Fu, Yang Zhang, Shenglin Zhang, Xin Wu, Wenwei Gu, Feng Wang, Zeyu Che, Xiaozhou Liu, Yongqian Sun, Yu Zhang

ACM Transactions on Software Engineering and Methodology

DOI

2026

Why Transformers? A Comprehensive Overview of Transformers in Artificial Intelligence for IT Operations

Binpeng Shi, Shenglin Zhang, Jingya Wang, Bowen Hao, Minyi Shao, Luo Yu, Wenwei Gu, Yongqian Sun, Sibo Xia, Yongxin Zhao, Dan Pei

ACM Transactions on Software Engineering and Methodology

DOI

2026

Bridging the Delay: Lag-Aware Spatio-Temporal Causal Inference for Microservice Root Cause Analysis

Shenglin Zhang, Junhua Kuang, Yimeng Zhang, Sibo Xia, Jintao Feng, Jingyu Wang, Wenwei Gu, Yongqian Sun, Wei Li, Liping Zhang, Dan Pei

DOI

2026

Aloha: Localizing Batch Failures in Large-scale Cloud Systems via Contrast Analysis and Human-in-the-Loop Agent

Shenglin Zhang, Yujia Wu, Jinghuan Ren, Yongqian Sun, Wenwei Gu, Chaoyun Zhang, Liqun Li, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Chetan Bansal, Minghua Ma

DOI

2026

R-Log: Incentivizing Log Analysis Capability in LLMs via Reasoning-based Reinforcement Learning

Yilun Liu, Z Q Chen, Song Xu, Minggui He, Shimin Tao, Weibin Meng, Yuming Xie, Tao Han, Chunguang Zhao, Jingzhou Du, Daimeng Wei, Shenglin Zhang, Yongqian Sun

IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

DOI

2026

PerfScout: An Adaptive Workload Generator in Software Performance Testing

Yongqian Sun, Qingliang Zhang, Xiao Xiong, Mengyao Li, Yimin Zuo, Shenglin Zhang, Xidao Wen, Wenwei Gu, Huandong Zhuang, Bowen Deng, Ruiyuan Wan, Dan Pei

IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

DOI

2026

FoundRoot: Towards Foundation Model for Root Cause Analysis via Structured Deep Thinking

Zhe Xie, Zeyan Li, Xiao He, Shenglin Zhang, Longlong Xu, Yuzhuo Yang, Tieying Zhang, Jianjun Chen, Rui Shi, Dan Pei

IEEE/ACM International Conference on Software Engineering (ICSE)

DOI

2026

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI

J Jiang, Jingfei Feng, Yu Luo, Qingliang Zhang, Y W Su, Wenwei Gu, Shenglin Zhang, Tianyu Cui, Yao Wu, Jielong Huang, Nan Qi, Dan Pei

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2026

LLM-Enhanced Failure Localization in Microservices: Integrating Multi-Modal Data and Expert Interpretation

Zhenyu Zhong, Ruowei Fu, Minghua Ma, Shenglin Zhang, Yongqian Sun, Chetan Bansal, Dan Pei

IEEE Transactions on Services Computing

DOI

2026

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents

Chenyu Zhao, Shenglin Zhang, Yihang Lin, Wenwei Gu, Zhimin Chen, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2026

EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair

Chenyu Zhao, Minghua Ma, Shenglin Zhang, Zeshun Huang, Yongqian Sun, Chetan Bansal, Saravan Rajmohan, Dan Pei

Proceedings of the ACM on software engineering.

DOI

2025

基于LLM的日志故障诊断

许婷，肖桐，张圣林，孙一丹，孙永谦，裴丹

《电子学报》

2025

AIOpsLab in Action: An Open Platform for AIOps Research

Ming-Hua Ma, J. Clark, Shenglin Zhang

SIGSOFT FSE Companion

DOI

2025

AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices

Yong-Qian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Ming-Hua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei

IEEE International Conference on Software Analysis, Evolution, and Reengineering

DOI

2025

Privacy-preserving MTS anomaly detection for network devices through federated learning

Shenglin Zhang, Ting Xu, Jun Zhu, Yong-Qian Sun, Peng-Xiang Jin, Binpeng Shi, Dan Pei

Information Sciences

DOI

2025

Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems

Shenglin Zhang, Yingke Li, Jianjing Tang, Chen-Yu Zhao, Wen-Wei Gu, Yong-Qian Sun, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2025

Accurate and Interpretable Log-Based Fault Diagnosis Using Large Language Models

Yong-Qian Sun, Shi-Yu Ma, Tong Xiao, Yong-Xin Zhao, Xuhui Cai, W. Dong, Yue Shen, Yao Zhao, Shenglin Zhang, Jing Han, Dan Pei

IEEE Transactions on Services Computing

DOI

2025

RationAnomaly: Log Anomaly Detection with Rationality via Chain-of-Thought and Reinforcement Learning

Song Xu, Yi-Lun Liu, Ming-Gui He, Mingchen Dai, Ziang Chen, Chun-Guang Zhao, Jing-Zhou Du, Shimin Tao, Wei-Bin Meng, Shenglin Zhang, Yong-Qian Sun, Bo-Xing Chen, Dai-Meng Wei

arXiv.org

DOI

2025

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering

Shenglin Zhang, Ziang Chen, Zi-Jing Que, Yi-Lun Liu, Yong-Qian Sun, Si-Cheng Wei, Dan Pei, Hai-Lin Li

arXiv.org

DOI

2025

Too Many Cooks: Assessing the Need for Multi-Source Data in Microservice Failure Diagnosis

Shenglin Zhang, Xiaoyu Feng, Runzhou Wang, Ming-Hua Ma, Wen-Wei Gu, Yong-Qian Sun, Zedong Jia, Jin-Rui Sun, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2025

AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs

Tian-Yu Cui, Ruo-Wei Fu, Chang-Chang Liu, Yuhe Ji, Wen-Wei Gu, Shenglin Zhang, Yong-Qian Sun, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2025

A Multimodal Intelligent Change Assessment Framework for Microservice Systems Based on Large Language Models

Yong-Qian Sun, Tinghua Zheng, Xi-Dao Wen, Weihua Kuang, Heng Liu, Shenglin Zhang, Chao Shen, Bo Wu, Dan Pei

SIGSOFT FSE Companion

DOI

2025

FlowXpert: Expertizing Troubleshooting Workflow Orchestration with Knowledge Base and Multi-Agent Coevolution

Binpeng Shi, Yu Luo, Jingyan Wang, Yong-Xin Zhao, Shenglin Zhang, Bo-Wen Hao, Chen-Yu Zhao, Yong-Qian Sun, Zhi Zhang, Ronghua Sun, Haihua Li, Wei Song, Xiao-Long Chen, Jingbo Miao, Dan Pei

Knowledge Discovery and Data Mining

DOI

2025

Bridging Edge and Cloud: A Knowledge-Enhanced Framework for Efficient Time Series Anomaly Detection

Shenglin Zhang, Jiacheng Zhang, Guohua Liu, Shiqi Chen, Chen-Yu Zhao, Ming-Hua Ma, Yutong Chen, Yong-Qian Sun, Dan Pei

IEEE Transactions on Services Computing

DOI

2025

A Comprehensive Benchmark and Empirical Study of Trace Anomaly Detection

Yong-Qian Sun, Minyi Shao, Xiaohui Nie, Kaiwen Yang, Xing-Da Li, Bo-Wen Hao, Shenglin Zhang, Chang-Hua Pei, Dongbiao He, Yan-Biao Li, Dan Pei

IEEE Transactions on Services Computing

DOI

2025

LLM-Augmented Ticket Aggregation for Low-cost Mobile OS Defect Resolution

Yong-Qian Sun, Bo-Wen Hao, Xiao-Tian Wang, Chen-Yu Zhao, Yong-Xin Zhao, Binpeng Shi, Shenglin Zhang, Q. Ge, Wenhu Li, Hua-Rong Wei, Dan Pei

SIGSOFT FSE Companion

DOI

2025

LogEval: A comprehensive benchmark suite for LLMs in log analysis

Tian-Yu Cui, Shi-Yu Ma, Ziang Chen, Tong Xiao, Chen-Yu Zhao, Shi-Min Tao, Yi-Lun Liu, Shenglin Zhang, Duoming Lin, Chang-Chang Liu, Yuzhe Cai, Wei-Bin Meng, Yong-Qian Sun, Dan Pei

Empirical Software Engineering

DOI

2025

Enhancing Interpretability in Software Change Management with Chain-of-Thought Reasoning

Yong-Qian Sun, Weihua Kuang, Chao Shen, Xi-Dao Wen, Tinghua Zheng, Heng Liu, Shenglin Zhang, Bo Wu, Dan Pei

arXiv.org

DOI

2025

Real-Time Anomaly Detection for Large-Scale Network Devices

Lei Tao, Ming-Hua Ma, Shenglin Zhang, Junhua Kuang, Xiaowei Guo, Canqun Yang, Dan Pei

IEEE Transactions on Networking

DOI

2025

Triangle: Empowering Incident Triage with Multi-Agent

Zhaoyang Yu, Aoyang Fang, Minghua Ma, Jaskaran Singh Walia, Chaoyun Zhang, Shu Chi, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Shenglin Zhang, Dan Pei, Pinjia He

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2025

LLM-Powered Multi-Agent Collaboration for Intelligent Industrial On-Call Automation

Ruowei Fu, Yang Zhang, Zeyu Che, Xin Wu, Zhenyu Zhong, Zhiqiang Ren, Shenglin Zhang, Feng Wang, Yongqian Sun, Xiaozhou Liu, Kexin Liu, Yu Zhang

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2025

Effective Node-Level Anomaly Detection in HPC Systems via Coarse-Grained Clustering and Fine-Grained Model Sharing

Sibo Xia, Yongqian Sun, Xijie Pan, Yuan Yuan, Shenglin Zhang, Shifen Hu, Tao Lei, Yuqi Li, Jinghua Feng

2012 International Conference for High Performance Computing, Networking, Storage and Analysis

DOI

2025

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge

Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Shenglin Zhang, Yongqian Sun

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

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

IEEE International Symposium on Software Reliability Engineering (ISSRE)

DOI

2025

ClusterRCA: An End-to-End Approach for Network Fault Localization and Classification for HPC System

Yongqian Sun, Xijie Pan, Xiao Xiong, Lei Tao, Jiaju Wang, Shenglin Zhang, Yuan Yuan, Yuqi Li, Kunlin Jian

IEEE International Symposium on Software Reliability Engineering (ISSRE)

DOI

2025

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

Proceedings - International Conference on Data Engineering

DOI

2025

TrioXpert: An Automated Incident Management Framework for Microservice System

Yongqian Sun, Luo Yu, Xidao Wen, Yuan Yuan, Xiaohui Nie, Shenglin Zhang, Tong Liu, Xi Luo

IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI

2024

搜索服务响应时间异常诊断

夏思博，马明华，金鹏翔，崔丽月，张圣林，金娃，孙永谦，裴丹

《计算机研究与发展》

2024

大语言模型时代的智能运维

裴丹，张圣林，孙永谦，裴昶华

《中兴通讯技术》

2024

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management

Yong-Qian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Ming-Hua Ma, Shenglin Zhang, Yuhe Ji, Lu Zhang, Wen Long, Hengmao Chen, Yongnan Luo, Dan Pei

arXiv.org

DOI

2024

Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing

Shenglin Zhang, Xiao Xiong, Meng-Yao Li, Yong-Qian Sun, Yong-Xin Zhao, Xia Chen, Bo-Wen Deng, Dan Pei

2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW)

DOI

2024

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data

Shenglin Zhang, Jun Zhu, Bo-Wen Hao, Yong-Qian Sun, Xiaohui Nie, Jing-Wen Zhu, Xi-Lin Liu, Xiao-qin Li, Yu-Chi Ma, Dan Pei

SIGSOFT FSE Companion

DOI

2024

End-to-End AutoML for Unsupervised Log Anomaly Detection

Shenglin Zhang, Yuhe Ji, Jia-Qi Luan, Xiaohui Nie, Ziang Chen, Ming-Hua Ma, Yong-Qian Sun, Dan Pei

International Conference on Automated Software Engineering

DOI

2024

ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems

Yong-Qian Sun, Binpeng Shi, Mingyu Mao, Ming-Hua Ma, Sibo Xia, Shenglin Zhang, Dan Pei

International Conference on Automated Software Engineering

DOI

2024

Illuminating the Gray Zone: Non-intrusive Gray Failure Localization in Server Operating Systems

Shenglin Zhang, Yong-Xin Zhao, Xiao Xiong, Yong-Qian Sun, Xiaohui Nie, Jiacheng Zhang, Feng-Lai Wang, Xiangtian Zheng, Yu-Zhi Zhang, Dan Pei

SIGSOFT FSE Companion

DOI

2024

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models

Hao-Tian Si, Jianhui Li, Chang-Hua Pei, Hang Cui, Jing-Wen Yang, Yong-Qian Sun, Shenglin Zhang, Jing-Jing Li, Haiming Zhang, Jing Han, Dan Pei, Gao-Gang Xie

IEEE International Symposium on Software Reliability Engineering

DOI

2024

Diagnosing Performance Issues for Large-Scale Microservice Systems With Heterogeneous Graph

Lei Tao, Xianglin Lu, Shenglin Zhang, Jia-Qi Luan, Yingke Li, Mingjie Li, Zeyan Li, Qingyang Yu, Hucheng Xie, Ruijie Xu, Chenyuan Hu, Canqun Yang, Dan Pei

IEEE Transactions on Services Computing

DOI

2024

LogLM: From Task-Based to Instruction-Based Automated Log Analysis

Yi-Lun Liu, Yuhe Ji, Shimin Tao, Ming-Gui He, Wei-Bin Meng, Shenglin Zhang, Yong-Qian Sun, Yu-Ming Xie, Bo-Xing Chen, Hao Yang

2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

DOI

2024

LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices

Shenglin Zhang, Zeyu Che, Zhongjie Pan, Xiaohui Nie, Yong-Qian Sun, Lemeng Pan, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2024

No More Data Silos: Unified Microservice Failure Diagnosis With Temporal Knowledge Graph

Shenglin Zhang, Yong-Xin Zhao, Sibo Xia, Shirui Wei, Yong-Qian Sun, Chen-Yu Zhao, Shi-Yu Ma, Junhua Kuang, Bolin Zhu, Lemeng Pan, Yicheng Guo, Dan Pei

IEEE Transactions on Services Computing

DOI

2024

Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space

Zhe Xie, Shenglin Zhang, Yitong Geng, Yaodong Zhang, Ming-Hua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yong-Qian Sun, Wentao Li, Dan Pei

Knowledge Discovery and Data Mining

DOI

2024

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis

Shenglin Zhang, Sibo Xia, Wen-Zhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Ming-Hua Ma, Yong-Qian Sun, Dan Pei

ACM Transactions on Software Engineering and Methodology

DOI

2024

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems

Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yan-Kai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei

The Web Conference

DOI

2024

Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder

Yong-Qian Sun, Zihan Lin, Binpeng Shi, Shenglin Zhang, Shi-Yu Ma, Peng-Xiang Jin, Zhenyu Zhong, Lemeng Pan, Yicheng Guo, Dan Pei

ACM Transactions on Software Engineering and Methodology

DOI

2024

Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization

Lei Tao, Shenglin Zhang, Zedong Jia, Jin-Rui Sun, Ming-Hua Ma, Zhengdan Li, Yong-Qian Sun, Canqun Yang, Yu-Zhi Zhang, Dan Pei

International Conference on Automated Software Engineering

DOI

2024

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism

Yong-Qian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang, Hongbo Li, Kai Xia, Dan Pei

2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW)

DOI

2024

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models

Shenglin Zhang, Pengtian Zhu, Ming-Hua Ma, Jiagang Wang, Yong-Qian Sun, Dongwen Li, Jing-Yu Wang, Qian-Yi Guo, Xiaolei Hua, Lin Zhu, Dan Pei

2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW)

DOI

2024

Efficient Multivariate Time Series Anomaly Detection through Transfer Learning for Large-Scale Software Systems

Yong-Qian Sun, Minghan Liang, Shenglin Zhang, Zeyu Che, Zhiyao Luo, Dongwen Li, Yu-Zhi Zhang, Dan Pei, Lemeng Pan, Liping Hou

ACM Transactions on Software Engineering and Methodology

DOI

2023

基于强化学习的在线离线混部云环境下的调度框架

马玲，樊漆亮，许婷，郭冠琛，张圣林，孙永谦，张玉志

《通信学报》

2023

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

Zhenyu Zhong, Qiliang Fan, Jiacheng Zhang, Ming-Hua Ma, Shenglin Zhang, Yong-Qian Sun, Qingwei Lin, Yu-Zhi Zhang, Dan Pei

arXiv.org

DOI

2023

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, Yong-Qian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang, Jianhui Li, Gao-Gang Xie, Xidao Wen, Xiaohui Nie, Ming-Hua Ma, Dan Pei

SIGSOFT FSE Companion

DOI

2023

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series

Dongwen Li, Shenglin Zhang, Yong-Qian Sun, Yang Guo, Zeyu Che, Shiqi Chen, Zhenyu Zhong, Minghan Liang, Minyi Shao, Mingjie Li, Shuyang Liu, Yu-Zhi Zhang, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2023

Robust Anomaly Clue Localization of Multi-Dimensional Derived Measure for Online Video Services

Yong-Qian Sun, Daguo Cheng, Peng-Xiang Jin, Quan Ding, Shenglin Zhang, Xu Chen, Yu-Zhi Zhang, Minghan Liang, Dan Pei, Jianyan Zheng, Sen Luo, Xin Tang

IEEE Transactions on Services Computing

DOI

2023

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment

Zhaoyang Yu, Chang-Hua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gao-Gang Xie, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2023

Robust Failure Diagnosis of Microservice System Through Multimodal Data

Shenglin Zhang, Peng-Xiang Jin, Zihan Lin, Yong-Qian Sun, Bi-Cheng Zhang, Sibo Xia, Zhengdan Li, Zhenyu Zhong, Ming-Hua Ma, W. Jin, Dai Zhang, Zhenyu Zhu, Dan Pei

IEEE Transactions on Services Computing

DOI

2023

Robust Multimodal Failure Detection for Microservice Systems

Chenyu Zhao, Ming-Hua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Simon Tan, Xiao Xiong, Lu-Lu Yu, Jiayi Feng, Yong-Qian Sun, Yu-Zhi Zhang, Dan Pei, Qingwei Lin, Dong-Mei Zhang

Knowledge Discovery and Data Mining

DOI

2023

Assess and Summarize: Improve Outage Understanding with Large Language Models

Peng-Xiang Jin, Shenglin Zhang, Ming-Hua Ma, Haozhe Li, Yu Kang, Li-Qun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Ying-Nong Dang, S. Rajmohan, Qingwei Lin, Dong-Mei Zhang

ESEC/SIGSOFT FSE

DOI

2023

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems

Shenglin Zhang, Zhongjie Pan, Heng Liu, Peng-Xiang Jin, Yong-Qian Sun, Qianyu Ouyang, Jiaju Wang, Xue-Ying Jia, Yu-Zhi Zhang, Hui Yang, Yongqiang Zou, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2023

LogKG: Log Failure Diagnosis Through Knowledge Graph

Yi-Cheng Sui, Yu-Zhe Zhang, Jian-Jun Sun, Ting Xu, Shenglin Zhang, Zhengdan Li, Yong-Qian Sun, Fangrui Guo, Junyu Shen, Yu-Zhi Zhang, Dan Pei, Xiao Yang, Li Yu

IEEE Transactions on Services Computing

DOI

2023

Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services

Yong-Qian Sun, Minghan Liang, Zeyu Che, Dongwen Li, Tinghua Zheng, Shenglin Zhang, Pengtian Zhu, Yu-Zhi Zhang, Dan Pei

2023 IEEE International Conference on Web Services (ICWS)

DOI

2023

LogSummary: Unstructured Log Summarization for Software Systems

Weibin Meng, Federico Zaiter, Yuzhe Zhang, Ying Liu, Shenglin Zhang, Shimin Tao, Yichen Zhu, Tao Han, Yongpeng Zhao, En Wang, Yu-Zhi Zhang, Dan Pei

IEEE Transactions on Network and Service Management

DOI

2023

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters

Yong-Qian Sun, Daguo Cheng, Tiankai Yang, Yuhe Ji, Shenglin Zhang, Man Zhu, Xiao Xiong, Qiliang Fan, Minghan Liang, Dan Pei, Tian-Chi Ma, Yu Chen

IEEE transactions on computers

DOI

2023

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data

Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei

The Web Conference

DOI

2022

微服务架构下的根因定位方法综述

李思毅，马诗雨，崔丽月，张圣林，孙永谦，张玉志

《数据与计算发展前沿》

2022

KPI异常检测方法评估

孙永谦，张茹茹，林子涵，张圣林，谭智元，张玉志

《数据与计算发展前沿(中英文)》

2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yong-Qian Sun, Peng-Fei Chen, Xidao Wen, Ming-Hua Ma, Dan Pei

arXiv.org

DOI

2022

Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems

Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

DOI

2022

Robust System Instance Clustering for Large-Scale Web Services

Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jie Luo, Yong-Qian Sun, Ya Su, Sibo Xia, Zhongyou Hu, Yu-Zhi Zhang, Dan Pei, Ji-Yan Sun, Yinlong Liu

The Web Conference

DOI

2022

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

Xuan-Run Wang, Kanglin Yin, Qianyu Ouyang, Xidao Wen, Shenglin Zhang, Wenchi Zhang, Li Cao, Jiuxue Han, Xing Jin, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2022

GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection

Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Dong Zhou, Shuo Wang, Chao Deng

arXiv.org

2022

Effective Attribute Selection for Multi-dimensional Root Cause Analysis

Yi-Ran Cheng, B. Cheng, Peng-Xiang Jin, Yong-Qian Sun, Xiaohui Nie, Nengwen Zhao, Shenglin Zhang, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2022

Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services

Shenglin Zhang, Zhenyu Zhong, Dongwen Li, Qiliang Fan, Yong-Qian Sun, Man Zhu, Yu-Zhi Zhang, Dan Pei, Ji-Yan Sun, Yinlong Liu, Hui Yang, Yongqiang Zou

IEEE Journal on Selected Areas in Communications

DOI

2021

CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer

Ming Sun, Ya Su, Shenglin Zhang, Yuanpu Cao, Yuqing Liu, Dan Pei, Wen-Fei Wu, Yong-Su Zhang, Xiao-Zhou Liu, Jun-Liang Tang

IEEE Conference on Computer Communications

DOI

2021

Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems

Ming-Hua Ma, Shenglin Zhang, Jun-Jie Chen, Jim Xu, Haozhe Li, Yongliang Lin, Xiaohui Nie, Bo Zhou, Yong Wang, Dan Pei

USENIX Annual Technical Conference

2021

UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks

Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei

arXiv.org

2021

Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels

Shenglin Zhang, Chen Zhao, Yi-Cheng Sui, Ya Su, Yong-Qian Sun, Yu-Zhi Zhang, Dan Pei, Yizhe Wang

IEEE International Symposium on Software Reliability Engineering

DOI

2021

Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN

Ya Su, Youjian Zhao, Minghe Sun, Shenglin Zhang, Xidao Wen, Yong-Su Zhang, Xian Liu, Xiao-Zhou Liu, Jun-Liang Tang, Wen-Fei Wu, Dan Pei

IEEE transactions on computers

DOI

2021

LogClass: Anomalous Log Identification and Classification With Partial Labels

Weibin Meng, Ying Liu, Shenglin Zhang, Federico Zaiter, Yuzhe Zhang, Yuheng Huang, Zhaoyang Yu, Yu-Zhi Zhang, Lei Song, Ming Zhang, Dan Pei

IEEE Transactions on Network and Service Management

DOI

2020

基于深度学习的无监督KPI异常检测

张圣林，林潇霏，孙永谦，张玉志，裴丹

《数据与计算发展前沿(中英文)》

2020

面向云数据中心多语法日志通用异常检测机制

张圣林，李东闻，孙永谦，孟伟彬，张宇哲，张玉志，刘莹，裴丹

《计算机研究与发展》

2020

Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases.

Ming-Hua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Fei-Fei Li, Changcheng Chen, Dan Pei

Very Large Data Bases Conference

2020

LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning

Rui Chen, Shenglin Zhang, Dongwen Li, Yuzhe Zhang, Fangrui Guo, Weibin Meng, Dan Pei, Yu-Zhi Zhang, Xu Chen, Yuqing Liu

IEEE International Symposium on Software Reliability Engineering

DOI

2020

Unified Anomaly Detection for Syntactically Diverse Logs in Cloud Datacenter

Shenglin Zhang, Dongwen Li, Yong-Qian Sun, Weibin Meng, Yuzhe Zhang, Yu-Zhi Zhang, Ying Liu, Dan Pei

DOI

2020

Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks

Shenglin Zhang, Lei Song, Ming Zhang, Ying Liu, Weibin Meng, Jiahao Bu, Sen Yang, Yong-Qian Sun, Dan Pei, Jun Xu, Yu-Zhi Zhang

IEEE Access

DOI

2020

Summarizing Unstructured Logs in Online Services

Weibin Meng, Federico Zaiter, Yuheng Huang, Ying Liu, Shenglin Zhang, Yuzhe Zhang, Yichen Zhu, Tianke Zhang, En Wang, Zuo-Min Ren, Feng Wang, Shimin Tao, Dan Pei

arXiv.org

2020

A Semantic-aware Representation Framework for Online Log Analysis

Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang, Federico Zaiter, Bingjin Chen, Dan Pei

International Conference on Computer Communications and Networks

DOI

2020

LogParse: Making Log Parsing Adaptive through Word Classification

Weibin Meng, Ying Liu, Federico Zaiter, Shenglin Zhang, Yihao Chen, Yuzhe Zhang, Yichen Zhu, En Wang, Ruizhi Zhang, Shimin Tao, Dian Yang, Rong Zhou, Dan Pei

International Conference on Computer Communications and Networks

DOI

2020

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2020

Localizing Failure Root Causes in a Microservice through Causality Inference

Yuan Meng, Shenglin Zhang, Yong-Qian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei

International Workshop on Quality of Service

DOI

2020

FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System

Ping Liu, Shenglin Zhang, Yong-Qian Sun, Yuan Meng, Jiahai Yang, Dan Pei

IEEE International Performance, Computing, and Communications Conference

DOI

2020

Diagnosing root causes of intermittent slow queries in cloud databases

Ming-Hua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Fei-Fei Li, Changcheng Chen, Dan Pei

Proceedings of the VLDB Endowment

DOI

2019

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs

Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou

International Joint Conference on Artificial Intelligence

DOI

2019

FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation

Ping Liu, Yu Chen, Xiaohui Nie, Jing Zhu, Shenglin Zhang, Kaixin Sui, Ming Zhang, Dan Pei

IEEE International Symposium on Software Reliability Engineering

DOI

2019

PreFix

Shenglin Zhang, Yuzhi Zhang, Yu Chen, Hui Fen Dong, Xianping Qu, Lei Song, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun Jim Xu

ACM SIGMETRICS Performance Evaluation Review

DOI

2018

PreFix

Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Pei-Xian Liang, Dan Pei, Jun Xu, Yu-Zhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song

PERV

DOI

2018

Device-Agnostic Log Anomaly Classification with Partial Labels

Weibin Meng, Ying Liu, Shenglin Zhang, Dan Pei, Hui Dong, Lei Song, Xulong Luo

International Workshop on Quality of Service

DOI

2018

Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection

Ming-Hua Ma, Shenglin Zhang, Dan Pei, Xin Huang, Hongwei Dai

IEEE International Symposium on Software Reliability Engineering

DOI

2018

FUNNEL: Assessing Software Changes in Web-Based Services

Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang, Xiaowei Jing, Mei Feng

IEEE Transactions on Services Computing

DOI

2018

Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams

Jiahao Bu, Ying Liu, Shenglin Zhang, Weibin Meng, Qitong Liu, Xiaotian Zhu, Dan Pei

IEEE International Performance, Computing, and Communications Conference

DOI

2018

HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes

Yong-Qian Sun, Youjian Zhao, Ya Su, Dapeng Liu, Xiaohui Nie, Yuan Meng, Shiwen Cheng, Dan Pei, Shenglin Zhang, Xianping Qu, Xu Guo

IEEE Access

DOI

2018

PreFix

Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun Jim Xu, Yuzhi Zhang, Yu Chen, Hui Fen Dong, Xianping Qu, Lei Song

DOI

2018

PreFix

Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun Jim Xu, Yuzhi Zhang, Yu Chen, Hui Fen Dong, Xianping Qu, Lei Song

ACM SIGMETRICS Performance Evaluation Review

DOI

2017

基于日志的数据中心内性能事件管理

张圣林

《清华大学》

2017

Syslog processing for switch failure diagnosis and prediction in datacenter networks

Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song

International Workshop on Quality of Service

DOI

2015

Rapid and robust impact assessment of software changes in large internet-based services

Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang

Conference on Emerging Network Experiment and Technology

DOI

预印本

2026

AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation

Chenyu Zhao, Shenglin Zhang, Wenwei Gu, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma

arXiv (Cornell University)

DOI

2026

A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis

Yuanhong Cai, Xiaohui Nie, Kanglin Yin, Changhua Pei, Yongqian Sun, Shenglin Zhang, Haibin Liu, Guiyang Liu, Xidao Wen, Fang Situ, Dan Pei

arXiv (Cornell University)

DOI

2026

HermesLog: A Bridging Model Coordinated CoT Reasoning between LLMs and SLMs Collaborative Fault Diagnosis with Edge Autonomy

Ting Xu, Shenglin Zhang, Zijing Que, Zhimin Chen, Wenwei Gu, Yongqian Sun, Weiyi Shang, Kundi Yao, Dan Pei

SSRN Electronic Journal

DOI

研究方向

关键信息基础设施韧性保障智能运维

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