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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 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.

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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 73 16

  2. NetManAIOps/TraceRCA NetManAIOps/TraceRCA Public

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

    Python 74 15

  3. NetManAIOps/Squeeze NetManAIOps/Squeeze Public

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

    Python 97 19

  4. NetManAIOps/Bagel NetManAIOps/Bagel Public

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

    Python 50 19

  5. pyprof pyprof Public

    This package focus on build time profiler for python functions and snippets.

    Python 5

  6. Zotero-meta-update Zotero-meta-update Public

    Update existing items' metadata by searching in DBLP

    Python 40 2