Yichen Li is a 4th-year CSE Ph.D. student at The Chinese University of Hong Kong, under the supervision of Prof. Michael R. Lyu. Previously, He received Bachelor’s degree in Information Security from Huazhong University of Science and Technology in 2021.

My research interests include LLM for code, program analysis and AIOps. Specifically, I am devoted to improving the quality of system runtime information and utilizing system runtime behaviors for cloud incident management (Dev for Ops with LLMs).

Feel free to drop me an email if you are interested in my research or just want to talk with me 😆.

🔥 News

• [05/2024] I will join the Microsoft Azure Systems Research group as a research intern this summer. Meet me @Redmond!
• [04/2024] Check the first & most large-scale empirical study LogBench about “LLMs for logging” [Paper] [LogBench]!
• [01/2024] 🎉 Our SCLogger and LILAC have been accepted without revision by FSE24 (56/483).
• [01/2024] 🎉 Our IDECoder has been accepted by ICSE-LLM4Code.
• [08/2023] 🎉 Our AutoLog has been accepted by ASE23 (134/629).

📝 Selected Publications

• FSE‘24 Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He and Michael R. Lyu. “Go Static: Contextualized Logging Statement Generation”. The ACM International Conference on the Foundations of Software Engineering, Porto de Galinhas, Brazil, July 2024. [Project]
• FSE’24 Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang and Michael R. Lyu. “Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-coded Credentials”. The ACM International Conference on the Foundations of Software Engineering, Porto de Galinhas, Brazil, July 2024. [Project][News🔥][News🔥]
• FSE’24 Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu and Michael R. Lyu. “LILAC: Log Parsing using LLMs with Adaptive Parsing Cache”. The ACM International Conference on the Foundations of Software Engineering, Porto de Galinhas, Brazil, July 2024. [Project]
• TSE Yichen Li*, Yintong Huo*, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel C. Briand and Michael R. Lyu. “Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study”. IEEE Transactions on Software Engineering (Journal-First). [Project]
• ICSE-LLM4Code'24 Yichen Li, Yun Peng, Yintong Huo and Michael R. Lyu. “Enhancing LLM-based Coding Tools Through Native Integration of IDE-Derived Static Context”. The IEEE/ACM International Conference on Software Engineering Workshop on Large Language Model for Code, Lisbon, Portugal, Apr 2024.
• ISSTA'24 Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu and Michael R. Lyu. “A Large-scale Evaluation for Log Parsing Techniques: How Far are We?”. The ACM SIGSOFT International Symposium on Software Testing and Analysis, Vienna, Austria, Sep 2024. [Project]
• ISSTA'24 Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng. “Face It Yourselves: An LLM-based Two-Stage Strategy to Localize Configuration Errors via Logs”. The ACM SIGSOFT International Symposium on Software Testing and Analysis, Vienna, Austria, Sep 2024. [Project]
• ICSE-SEIP'24 Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, and Michael R. Lyu. “FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems”. The IEEE/ACM International Conference on Software Engineering, Lisbon, Portugal, Apr 2024.
• ASE'23 Yintong Huo*, Yichen Li*, Yuxin Su, Pinjia He, Zifan Xie and Michael R. Lyu. “AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection”. The IEEE/ACM International Conference on Automated Software Engineering, Kirchberg, Luxembourg, Sep 2023. (*Equal contribution) [Project]
• OSR Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R Lyu. “An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection”. ACM SIGOPS Operating Systems Review.
• TSE Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R Lyu. “Revisiting, benchmarking and exploring API recommendation: How far are we?”. IEEE Transactions on Software Engineering (Journal-First). [Project]

📖 Educations

• 2021.08 ~ present Ph.D. student, Chinese University of Hong Kong
• 2017.09 ~ 2021.06 Bachelor degree, Huazhong University of Science and Technology

🎖 Honors and Awards

• National Scholarship, Ministry of Education of the P.R. China. 2021.
• National Scholarship, Ministry of Education of the P.R. China. 2020.
• Star of Tomorrow, Microsoft Research Asia.

🏃 Experiences

• 2024.06 - 2024.09: Research Intern, Microsoft Research. US.
• 2022.04 - 2022.07: Research Intern, Microsoft Research Asia. China.
• 2020.11 - 2021.06: Research Intern, Microsoft Research Asia. China.
• 2020.03 - 2020.05: Research Assistant, NISL@Tsinghua University. China

💼 Services

• Program Committee: ISSRE’24 (Fast Abstract Track), MSR’25 (Junior PC)
• Reviewer:
  • 2024: ACM Transactions on Software Engineering and Methodology (TOSEM)
  • 2024: IEEE Transactions on Information Forensics & Security (TIFS)
  • 2024: IEEE Internet of Things Journal (IoTJ)
  • 2024: IEEE Transactions on Reliability (TR)
• Sub-reviewer:
  • 2024: FSE, ISSTA, ISSRE
  • 2023: DSN, FSE, ISSRE, ICPE
  • 2022: FSE, ISSRE
  • 2021: DSN, ICSE