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lizeyan/README.md

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

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.

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

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  1. NetManAIOps/DejaVu NetManAIOps/DejaVu Public

    Code and datasets for FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems"

    Jupyter Notebook 74 16

  2. NetManAIOps/TraceRCA NetManAIOps/TraceRCA Public

    Practical Root Cause Localization for Microservice Systems via Trace Analysis. IWQoS 2021

    Python 78 16

  3. NetManAIOps/Squeeze NetManAIOps/Squeeze Public

    ISSRE 2019: Generic and Robust Localization of Multi-Dimensional Root Cause

    Python 98 19

  4. NetManAIOps/Bagel NetManAIOps/Bagel Public

    IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

    Python 51 19

  5. Zotero-meta-update Zotero-meta-update Public

    Update existing items' metadata by searching in DBLP

    Python 40 2

  6. train-ticket train-ticket Public

    Forked from FudanSELab/train-ticket

    Train Ticket - A Benchmark Microservice System

    Java 18 2