I am a Research Scientist at ByteDance. My research focuses on agentic approaches for infrastructure reliability: building AI agents that help keep large-scale cloud systems stable. Before that, my work centered on AIOps, including log analysis, anomaly detection and incident management.

I received my Ph.D. degree from the Chinese University of Hong Kong, under the supervision of Prof. Michael R. Lyu. I got my Bachelor’s (2018) and Master’s (2020) degrees from Sun Yat-sen University in InPlus Lab, under the supervision of Prof. Zibin Zheng.

Our project LogPAI provides an end-to-end solution to intelligently manage and analyze logs for modern production systems using machine learning techniques. It has received 9,000+ stars and 2,300+ forks on GitHub, and the Loghub datasets have been downloaded more than 80,000 times by 370+ organizations. Feel free to contact us if you have any questions.

  • Agentic AI for infrastructure
  • Infrastructure reliability
  • AIOps
  • Log analysis

News

  • Aegis: Proactive Change Risk Detection in Production Cloud Systems accepted by EuroSys 2026.
  • KRONE: Hierarchical and Modular Log Anomaly Detection accepted by ICDE 2026.
  • Serving as Industry Track Co-Chair for ISSRE 2026.
  • LogImprover, ErrorPrism and LogPilot accepted by the ASE 2025 industry track. Congrats to my talented interns!
  • Passed my thesis defense! Joining ByteDance as a Research Scientist in San Jose.
  • Loghub-2.0 (LogPub) accepted without revision by ISSTA 2024 (42/471).
  • LILAC and SCLogger accepted without revision by FSE 2024 (56/483).

Selected Publications

Full list on Google Scholar.

2026

  1. EuroSys'26

    Aegis: Proactive Change Risk Detection in Production Cloud Systems: ByteDance's Experience

    Jinyang Liu, Yichen Li, Tieying Zhang, Binbin Chen, Xiao He, Zhihan Jiang, Haipeng Zhang, Gang Wu, Yi Li

    DOI

  2. ICDE'26

    KRONE: Hierarchical and Modular Log Anomaly Detection

    Lei Ma, Jinyang Liu, Tieying Zhang, Peter M. VanNostrand, Dennis M. Hofmann, Lei Cao, Elke A. Rundensteiner, Jianjun Chen

    Paper

  3. TOSEM'26

    Scalable and Adaptive Log-based Anomaly Detection: A Synergistic Approach

    Jinyang Liu, Junjie Huang, Zhihan Jiang, Yintong Huo, Zhuangbin Chen, Jiazhen Gu, Cong Feng, Minzhi Yan, Michael R. Lyu

    PreprintDOI

2025

  1. ASE'25

    Automated Proactive Logging Quality Improvement for Large-Scale Codebases

    Yichen Li, Jinyang Liu, Junsong Pu, Zhihan Jiang, Zhuangbin Chen, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu

    Paper

  2. ASE'25

    ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems

    Junsong Pu, Yichen Li, Zhuangbin Chen, Jinyang Liu, Zhihan Jiang, Jianjun Chen, Rui Shi, Zibin Zheng, Tieying Zhang

    Paper

  3. ASE'25

    LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems

    Zhihan Jiang, Jinyang Liu, Yichen Li, Haiyu Huang, Xiao He, Tieying Zhang, Jianjun Chen, Yi Li, Rui Shi, Michael R. Lyu

    Paper

2024

  1. ISSTA'24

    Loghub 2.0: 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

    PaperProjectDOI

  2. FSE'24

    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

    PaperProjectDOI

  3. FSE'24

    Go Static: Contextualized Logging Statement Generation

    Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Michael R. Lyu

    PaperProjectDOI

  4. ICSE'24

    FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems

    Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

    PaperDOI

2023

  1. ASE'23

    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

    PaperProjectDOI

  2. ICSE'23

    Incident-aware Duplicate Ticket Aggregation for Cloud Systems

    Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

    PaperCode

  3. ISSRE'23

    Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services

    Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu

    PaperDOI

  4. ISSRE'23

    Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

    Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu

    PaperCode

2022

  1. ICSE'22

    Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

    Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu

    PaperCode

2021

  1. ASE'21

    Graph-based Incident Aggregation for Large-Scale Online Service Systems

    Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu

    PaperCode

2019

  1. ASE'19

    Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression

    Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu

    PaperCode

  2. ICSE'19

    Tools and Benchmarks for Automated Log Parsing

    Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

    PaperCode

Service

Organizing committee
ISSRE'26 (Industry Track Co-Chair)
Program committee
ISSRE'27, DSN'26 Industry Track, ISSRE'25, ISSRE'24, ATC'24 (External PC)
Journal reviewer
TOSEM (2025, 2026), TDSC (2026), TSE (2025), JSS (2025), TCC (2024)