Publications

2023

  1. PAKDD’23
    Achieving Counterfactual Fairness for Anomaly Detection
    Xiao Han, Lu Zhang, Yongkai Wu, and Shuhan Yuan
    In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023
  2. CIKM’23
    On Root Cause Localization and Anomaly Mitigation through Causal Inference
    Xiao Han, Lu Zhang, Yongkai Wu, and Shuhan Yuan
    In Proceedings of the 32nd ACM International Conference on Information & Knowledge Management, 2023
  3. BigData’23
    LogGPT: Log Anomaly Detection via GPT
    Xiao Han, Shuhan Yuan, and Mohamed Trabelsi
    In 2023 IEEE International Conference on Big Data (Big Data), 2023

2022

  1. ICDM’22
    Few-shot Anomaly Detection and Classification Through Reinforced Data Selection
    Xiao Han, Depeng Xu, Shuhan Yuan, and Xintao Wu
    In 2022 IEEE International Conference on Data Mining (ICDM), 2022

2021

  1. CIKM’21
    Unsupervised Cross-System Log Anomaly Detection via Domain Adaptation
    Xiao Han, and Shuhan Yuan
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
  2. BigData’21
    InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data
    Xiao Han, He Cheng, Depeng Xu, and Shuhan Yuan
    In 2021 IEEE International Conference on Big Data (Big Data), 2021