Zhihan Jiang
Ph.D. Candidate, CUHK
I am a 3rd-year CSE Ph.D. candidate in ARISE Lab at The Chinese University of Hong Kong, supervised by Prof. Michael R. Lyu. Previously, I obtained my Bachelor's degree from Sun Yat-sen University, in 2022.
💡 I focus on enhancing the observability and reliability of large-scale cloud systems and LLM systems, especially based on heterogeneous monitoring data (e.g., logs, traces, metrics and alerts).
My recent work explores AIOps for LLM training and serving systems (Ops4LLM) and the use of LLMs to enhance AIOps (LLM4Ops).
😃 I am actively seeking opportunities in the job market for 2026. Feel free to drop me an email if you're interested in connecting with me.
📖 Education
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The Chinese University of Hong Kong
Ph.D. in Computer Science and Engineering Aug. 2022 - present
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Sun Yat-sen University
B.S. in Computer Science and Technology Sep. 2018 - Jul. 2022
- GPA: 4.0/4.0; Rank: 1/40
💼 Service
- Program Committee : APSEC'25, MSR'25, ASE'24-industry
- Artifact Evaluation Committee: OSDI'25, OSDI'24, ATC'24, ISSTA'24, ICSE'25
- (Sub-)reviewer: FSE'25-industry, TOSEM, EEAI, ISSTA'25, ICSE'25, FSE'24, ISSRE'24, ICPE'24, ESEC/FSE'23, DSN'23, ISSRE'23
🎖 Honors & Awards
- Best Paper Award for CLOUD'24, IEEE 2024
- National Scholarship, Ministry of Education P.R.C. 2020 & 2021
- The First Prize Scholarship, SYSU 2019 - 2021.
💬 Teaching Assistants
- ENGG1110 Problem Solving By Programming Fall, 2023
- ENGG1110 Problem Solving By Programming Srping, 2023
- CSCI3160 Design and Analysis of Algorithms Fall, 2022
News
Selected Publications (view all )
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, Michael R. Lyu
DSN'25 The 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Naples, Italy, Jun 2025.
L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis
Zhihan Jiang, Junjie Huang, Guangba Yu†, Zhuangbin Chen, Yichen Li, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu
FSE'25 The ACM International Conference on the Foundations of Software Engineering, Trondheim, Norway, Jun 2025.
A Large-scale Evaluation for Log Parsing Techniques: How Far are We?
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen†, Jieming Zhu, Michael R. Lyu
ISSTA'24 The ACM SIGSOFT International Symposium on Software Testing and Analysis, Vienna, Austria, Sep 2024.
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu†, Michael R. Lyu
FSE'24 The ACM International Conference on the Foundations of Software Engineering, Porto de Galinhas, Brazil, July 2024.
TraceMesh: Scalable and Streaming Sampling for Distributed Traces
Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng†
CLOUD'24 The IEEE International Conference on Cloud Computing, Shenzhen, China, July 2024. 🏆 Best Paper Award
Prism: Revealing Hidden Functional Clusters of Massive Instances in Cloud Systems
Jinyang Liu*, Zhihan Jiang*, Jiazhen Gu, Junjie Huang, Zhuangbin Chen†, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu (* equal contribution)
ASE'23 The IEEE/ACM International Conference on Automated Software Engineering, Kirchberg, Luxembourg, Sep 2023.