InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. - Xiao Han 008; He Cheng; Depeng Xu 001; Shuhan Yuan (IEEE BigData, 2021)

Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. - Xiao Han 008; Shuhan Yuan (CIKM, 2021)

Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. - Xiao Han 008; Depeng Xu 001; Shuhan Yuan; Xintao Wu (ICDM, 2022)

On Interpretable Anomaly Detection Using Causal Algorithmic Recourse. - Xiao Han 008; Lu Zhang 021; Yongkai Wu; Shuhan Yuan (CoRR, 2022)

LogGPT: Log Anomaly Detection via GPT. - Xiao Han 008; Shuhan Yuan; Mohamed Trabelsi 003 (IEEE Big Data, 2023)

On Root Cause Localization and Anomaly Mitigation through Causal Inference. - Xiao Han 008; Lu Zhang 021; Yongkai Wu; Shuhan Yuan (CIKM, 2023)

Achieving Counterfactual Fairness for Anomaly Detection. - Xiao Han 008; Lu Zhang 021; Yongkai Wu; Shuhan Yuan (PAKDD (1), 2023)

Algorithmic Recourse for Anomaly Detection in Multivariate Time Series. - Xiao Han 008; Lu Zhang 021; Yongkai Wu; Shuhan Yuan (CoRR, 2023)