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.

2024 IEEE 35th International Symposium on Software Reliability Engineering … Practical root cause localization for microservice systems via trace analysis. In 2021 IEEE/ACM 29th International...

In 2023, I graduated with a 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 published several papers on anomaly detection and failure diagnosis at renowned conferences, including ESEC/FSE, WWW, KDD and ISSRE.

2022年8月8日 · To tackle this dilemma, in this work, we introduce three public real-world, large-scale datasets about AIOps, mainly aiming at KPI anomaly detection, root cause localization on multi-dimensional data, and failure discovery and diagnosis.

Data Mining Artificial Intelligence.

Zeyan LI, PhD Student | Cited by 839 | of Tsinghua University, Beijing (TH) | Read 20 publications | Contact Zeyan LI

I’m a tenure-track Assistant Professor at the University of Louisville CSE. I received my Ph.D. in Computer Science from the University of Kansas, advised by Dr. Bo Luo and Dr. Fengjun Li in 2024, and my Bachelor’s degree in Math from Wuhan University in 2019.

Zeyan LI | Cited by 74 | of The Chinese University of Hong Kong, Hong Kong (CUHK) | Read 7 publications | Contact Zeyan LI

Objective To investigate the effectiveness and safety of ureteral access sheaths (UAS) in flexible ureteroscopic lithotripsy of upper urinary tract stones through a comprehensive systematic review...