📚 Biography: Gou Tan (谭苟 in Chinese) is currently a 2nd-year Ph.D. student at Sun Yat-Sen University (SYSU), supervised by Prof. Pengfei Chen and Prof. Chuanfu Zhang. Recently, he was awarded a CSC (China Scholarship Council) fellowship, and he will join the Singapore Management University (SMU), co-supervised by Prof. SHAR Lwin Khin and Prof. David Lo. He received a B.E. degree from Sun Yat-Sen University in 2022.

💡Research Interest: AI Reliability, SE4AI, LLMOps, MLOps, AI4SE, AIOps.

🔥 News

  • 2025.12:  🎉🎉 Our paper “MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge” was accepted by FSE'26 (CCF A)! Congrats to Shuai Liang!
  • 2025.12:  🎉🎉 Our Agent-based C to Rust solutions won 3rd Prize in The 3rd vivo BlueOS Innovation Competition.
  • 2025.12:  🎉🎉 Our paper “ProfRCA: LLM-Enabled Fine-grained Root Cause Analysis with Continuous Profiling Data” was accepted by SANER'26 (CCF B)! Congrats to Siyuan!
  • 2025.09:  🎉🎉 Our paper “MOTSAD: Multi-Objective Optimization for Time Series Anomaly Detection in Microservice” was accepted by ICSOC'25 (CCF B)! Congrats to Xitao!
  • 2025.06:  🎉🎉 Our paper “InferLog: Accelerating LLM Inference for Online Log Parsing via ICL-oriented Prefix Caching” was accepted by ICSE'26 (CCF A)! Congrats to Yilun!
  • 2025.04:  🎉🎉 Our paper “A Survey on Failure Analysis and Fault Injection in AI Systems” was accepted by TOSEM (CCF A)! Congrats to Guangba!
  • 2023.12:  🎉🎉 Our LLM-based AIOps solutions won 3rd place🥉 in the 2023 CCF International AIOps Challenge (1st🏅 among student teams).
  • 2023.10:  🎉🎉 Our paper “Online Data Drift Detection for Anomaly Detection Services based on Deep Learning towards Multivariate Time Series” was accepted by QRS'23 (CCF C)!

📝 Publications

  •   FSE’26 (CCF A)  MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge

    Shuai Liang, Pengfei Chen*, Bozhe Tian, Gou Tan, Maohong Xu, Youjun Qu, Yahui Zhao, Yiduo Shang, Chongkang Tan.

    ACM International Conference on the Foundations of Software Engineering (FSE’26), Montreal, Canada, July, 2026.

    [Paper] [Code] [Slides] [DOI]

  •   SANER’26 (CCF B)  ProfRCA: LLM-Enabled Fine-grained Root Cause Analysis with Continuous Profiling Data

    Siyuan Ye, Gou Tan, Wanqi Yang, and Pengfei Chen*.

    The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER’26), Limassol, Cyprus, March 2026.

    [Paper] [Code] [Slides] [DOI]

  •   ICSOC’25 (CCF B)  MOTSAD: Multi-Objective Optimization for Time Series Anomaly Detection in Microservice

    Xitao Tang, Gou Tan and Pengfei Chen*.

    The 23rd International Conference on Service-Oriented Computing (ICSOC’25), Shenzhen, China, December 2025.

    [Paper] [Code] [Slides] [DOI]

  •   ICSE’26 (CCF A)  InferLog: Accelerating LLM Inference for Online Log Parsing via ICL-oriented Prefix Caching

    Yilun Wang, Pengfei Chen*, Haiyu Huang, Zilong He, Gou Tan, Chuanfu Zhang, Jingkai He, Zibin Zheng.

    2026 IEEE/ACM International Conference on Software Engineering (ICSE’26), Rio de Janeiro, Brazil, April 2026.

    [Paper] [Code] [Slides] [DOI]

  •   TOSEM (CCF A)  A Survey on Failure Analysis and Fault Injection in AI Systems

    Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen*, Roberto Natella, Zibin Zheng, Michael R. Lyu.

    ACM Transactions on Software Engineering and Methodology.

    [Paper] [Code] [Slides] [DOI]

  •   QRS’23 (CCF C)  Online Data Drift Detection for Anomaly Detection Services based on Deep Learning towards Multivariate Time Series

    Gou Tan, Pengfei Chen*, and Min Li.

    2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS’23), Chiang Mai, Thailand, October 2023.

    [Paper] [Code] [Slides] [DOI]

💯 Under Review

  •   26  LLMRCA: Multilevel Root Causes Analysis for LLM Applications Using Multimodal Observability Data

    Gou Tan, Zilong He, Min Li, Haiyu Huang, Yilun Wang, Pengfei Chen*, Giuliano Casale, Chuanfu Zhang.

    [Paper] [Code] [Slides] [DOI]

🎖 Honors and Awards

👩🏻‍💻 Working Experience

📖 Educations

  • SYSU 2022.09 - Present, Ph.D. student (Master’s and Ph.D. combined program), Sun Yat-sen University (SYSU).
  • SMU 2025.12 - 2026.12, Visiting Scholar, Singapore Management University (SMU).
  • SYSU 2018.09 - 2022.06, Bachelor degree, Sun Yat-sen University (SYSU).

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