Wenwei Gu

Wenwei Gu is currently an Assistant Professor at the College of Software, Nankai University.He received his Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) in July 2025, under the supervision of Prof. Michael R. Lyu (IEEE/ACM/AAAS Fellow), a pioneer in Software Reliability Engineering.During his doctoral studies, he was an active member of the Huawei–CUHK Joint Lab on Software Reliability, where his research was published in top international journals and conferences.

To date, he has published 13 high-quality papers in venues such as TOSEM, TSE, ICSE, ISSRE, DSN, EMSE, and AAAI.Among these, five are first-author papers in CCF-A or CCF-B ranked venues.He has also served as a reviewer for numerous international conferences and journals, including KDD’26, AAAI’26, ASE’25, ACL’25, ICSE’25, FSE’24, ISSRE’24, DSN’25, ISSTA’24, ESEC/FSE’24, ISSRE’23, DSN’23, ISSRE’22, SRDS’22, ESEC/FSE’22, TSE, and TSC.

Education Background

  • Aug. 2021 – Jul. 2025: Ph.D. in Computer Science and Engineering, The Chinese University of Hong Kong (CUHK)
    Supervisor: Prof. Michael R. Lyu
  • Sep. 2017 – Jun. 2021: B.Eng. in Electronic and Information Engineering, Huazhong University of Science and Technology (HUST）

Professional Experience

  • Aug. 2025 – Present: Assistant Professor, College of Software, Nankai University
  • Feb. 2025 – Jun. 2025: Research Intern, Huawei Hong Kong Research Center
  • Jan. 2022 – Jan. 2025: Project Member, Huawei–CUHK Joint Lab on Software Reliability
  • Jul. 2020 – Aug. 2020: Research Intern, CUHK Shenzhen Research Institute
  • Jul. 2019 – Aug. 2019: Research Intern, Peng Cheng Laboratory

Selected Publications

  1. Revisiting, Benchmarking, and Exploring API Recommendation: How Far Are We?
    Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, and Michael R. Lyu.
    In IEEE Transactions on Software Engineering (TSE), Volume 49, Issue 4, April 2023.
  2. Curvature-Invariant Adversarial Attacks for 3D Point Clouds
    Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, and Michael R. Lyu.
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Volume 38, Number 7, February 2024.
  3. KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems
    Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, and Michael R. Lyu.
    In Proceedings of the 35th International Symposium on Software Reliability Engineering (ISSRE), PP. 403-414, October 2024.
  4. Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features
    Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang and Michael R. Lyu.
    In ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 34, Issue 3, February 2025.
  5. ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems
    Wenwei Gu, Jiazhen Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Jinxi Kuang, Cong Feng, Yongqiang Yang, and Michael R. Lyu.
    In Proceedings of the IEEE/ACM 47th International Conference on Software Engineering (ICSE), PP. 911-923, April 2025.
  6. LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements
    Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, and Michael R. Lyu.
    In ACM Transactions on Software Engineering and Methodology (TOSEM), April 2025.
  7. LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms
    Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, and Michael R. Lyu.
    In Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), PP. 1-7, June 2025.
  8. Cordial: Cross-row Failure Prediction Method Based on Bank-level Error Locality for HBMs Wenwei Gu, Jiazhen Gu, Renyi Zhong, Wenyu Zhang, Ming Li, and Michael R. Lyu.
    In Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), PP. 77-83, June 2025.
  9. KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems
    Wenwei Gu, Renyi Zhong, Guangba Yu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, and Michael R. Lyu.
    In Empirical Software Engineering (EMSE), October 2025.
  10. Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems
    Shenglin Zhang, Yingke Li, Jianjin Tang, Chenyu Zhao, Wenwei Gu, Yongqian Sun, and Dan Pei.
    In Proceedings of the 36th International Symposium on Software Reliability Engineering (ISSRE), October 2025.
  11. Too Many Cooks: Assessing the Need for Multi-Source Data in Microservice Failure Diagnosis Shenglin Zhang, Xiaoyu Feng, Runzhou Wang, Minghua Ma, Wenwei Gu, Yongqian Sun, Zedong Jia, Jinrui Sun, and Dan Pei.
    In Proceedings of the 36th International Symposium on Software Reliability Engineering (ISSRE), October 2025.
  12. AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs
    Tianyu Cui, Ruowei Fu, Changchang Liu, Yuhe Ji, Wenwei Gu, Shenglin Zhang, Yongqian Sun, and Dan Pei.
    In Proceedings of the 36th International Symposium on Software Reliability Engineering (ISSRE), October 2025.
  13. Adaptive Performance Regression Detection via Semi-Supervised Siamese Learning
    Yongqian Sun, Mengyao Li, Xiao Xiong, Lei Tao, Yimin Zuo, Wenwei Gu, Shenglin Zhang, Junhua Kuang, Yu Luo, Huandong Zhuang, Bowen Deng, and Dan Pei.
    In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025.

Research Projects

  1. Scenario-based Root Cause Analysis for Microservices Huawei–CUHK Joint Lab, Jul. 2023 – Jul. 2024
  2. Full-stack, Cross-layer Fault Root Cause Localization Huawei–CUHK Joint Lab, Jul. 2023 – Jul. 2024
  3. Full-path Failure Analysis for Large Model Training Based on Transaction Flows Huawei–CUHK Joint Lab, Jul. 2024 – Jul. 2025
  4. Node Degradation Detection for Large-Scale Distributed Systems Collaborative Project with Meituan, Jun. 2025 – Jun. 2026
  5. GPU Failure Prediction for AI Cluster Infrastructure Collaborative Project with ByteDance, May 2025 – May 2026

Teaching

  • Computer Networks (Undergraduate) — Fall 2025
  • Advanced Topics in Software Testing and Maintenance (Graduate) — Fall 2025

Professional Service

  • Conference Reviewer: KDD’26, AAAI’26, ASE’25, ACL’25, ICSE’25, DSN’25, FSE’24, ISSRE’24, ISSTA’24, ESEC/FSE’24, ISSRE’23, DSN’23, ISSRE’22, SRDS’22, ESEC/FSE’22
  • Journal Reviewer: IEEE Transactions on Software Engineering (TSE), IEEE Transactions on Services Computing (TSC)
  • Jury Member: The 8th CCF AIOps Challenge

Contacts

Email: wwgu at nankai.edu.cn

Views: 6