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Zeyan Li 李则言

Zeyan Li 李则言

Bio

I am currently employed at ByteDance, specializing in the field of AI for Infrastructure and AIOps.

In 2023, I successfully completed my Ph.D. in Computer Science at Tsinghua University, with a research focus on AIOps, failure management, and root cause analysis. Throughout my academic journey, I have made significant contributions to the field, publishing several noteworthy papers on failure diagnosis in online service systems. These papers have been presented at renowned conferences, including ESEC/FSE and ISSRE.

Prior to pursuing my doctoral studies, I earned a Bachelor’s degree in Computer Science from Tsinghua University in 2014.

Working Experience

  • June 2023 - present, R&D engineer at ByteBrain team, ByteDance.
  • Jan 2019 - June 2022, Algorithm Engineer Intern, BizSeer. Worked with Dr. Kaixin Sui on root-cause service localization for banking information systems.

Education

  • Sept 2014 - July 2018, B.E., Department of Computer Science and Technology, Tsinghua University
  • Sept 2018 - June 2023, Ph.D., Department of Computer Science and Technology, Tsinghua University.
    • Ph.D. Advisor: Prof. Dan Pei
    • Research interests: AIOps, fault localization, root cause analysis, anomaly detection

Publications

  1. Zeyan Li, Junjie Chen, Yihao Chen, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei. 2023. Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems. Journal of Systems and Software, 2023.
  2. Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, and Dan Pei. 2023. CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. In Proceedings of the ACM Web Conference 2023 (WWW ’23), May 1–5, 2023, Austin, TX, USA. ACM, New York, NY, USA, 11 pages.
  3. Zeyan Li, Nengwen Zhao, Mingjie Li, Xianglin Lu, Lixin Wang, Dongdong Chang, Li Cao, Wenchi Zhang, Kaixin Sui, Yanhua Wang, Xu Du, Guoqing Duan, and Dan Pei. 2022. Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems. ESEC/FSE 2022. (CCF-A)
  4. Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, and Dan Pei. 2022. Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. KDD’22. (CCF-A)
  5. Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, and Dan Pei. 2022. Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems. CCGRID’22. （CCF-C）
  6. Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen, Wenchi Zhang, Kaixin Sui, and Dan Pei. 2021. An empirical investigation of practical log anomaly detection for online service systems. ESEC/FSE 2021. (CCF-A)
  7. Zeyan Li, Junjie Chen, Rui Jiao, Nengwen Zhao, Zhijun Wang, Shuwei Zhang, Yanjun Wu, Long Jiang, Leiqin Yan, Zikai Wang, Zhekang Chen, Wenchi Zhang, Xiaohui Nie, Kaixin Sui, and Dan Pei. 2021. Practical Root Cause Localization for Microservice Systems via Trace Analysis. IWQOS’21. (CCF-B)
  8. Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, and Yan Liu. 2020. ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks. INFOCOM 2020. (CCF-A)
  9. Zeyan Li, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, and Dan Pei. 2019. Generic and Robust Localization of Multi-dimensional Root Causes. ISSRE’19. (CCF-B)
  10. Wenxiao Chen, Haowen Xu, Zeyan Li, Dan Pei, Jie Chen, Honglin Qiao, Yang Feng, and Zhaogang Wang. 2019. Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE. INFOCOM 2019. (CCF-A)
  11. Zeyan Li, Wenxiao Chen, and Dan Pei. 2018. Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder. IPCCC 2018. (CCF-C)
  12. Guoshun Nan, Xiuquan Qiao, Jiting Wang, Zeyan Li, Jiahao Bu, Changhua Pei, Mengyu Zhou, and Dan Pei. 2018. The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi. IPCCC 2018. (CCF-C)
  13. Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, and Honglin Qiao. 2018. Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications. WWW ’18. (CCF-A)

Patents

  1. CN202110622067. 裴丹，李则言。调用链异常检测方法、计算机设备以及可读存储介质
  2. CN202110319752. 裴丹，李则言。基于条件变分自动编码器的 KPI 异常检测方法和装置
  3. CN202010727337. 李则言，张文池，程博，黄成，陈哲康，沈梦家，隋楷心，刘大鹏。一种故障 定位方法、装置、电子设备及存储介质

Awards

  • 2023 Outstanding Graduate (Graduate Student) of Department of Computer Science and Technology, Tsinghua University
  • 2018 Outstanding Graduate (Undergraduate Student) of Department of Computer Science and Technology, Tsinghua University

Services

  • TNSM reviewer
  • ICDE‘24 reviewer
  • AAAI‘24 reviewer
  • AAAI’23 reviewer
Last update : February 22, 2024
Created : February 13, 2023

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