Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention Mechanism. - Qingfeng Du; Liang Zhao; Jincheng Xu; Yongqi Han 001; Shuangli Zhang (DEXA (1), 2021)

Trace-Based Anomaly Detection with Contextual Sequential Invocations. - Qingfeng Du; Liang Zhao; Fulong Tian; Yongqi Han 001 (DEXA (2), 2023)

LWS: A framework for log-based workload simulation in session-based SUT. - Yongqi Han 001; Qingfeng Du; Jincheng Xu; Shengjie Zhao; Zhekang Chen; Li Cao; Kanglin Yin; Dan Pei (J. Syst. Softw., 2023)

Semi-Supervised Metrics-Based Self-Training Root Cause Analysis for Cloud-Native Systems with Class-Imbalanced Data. - Ying Huang; Qingfeng Du; Yongqi Han 001; Cheng He; Fulong Tian (ICASSP, 2024)

The Potential of One-Shot Failure Root Cause Analysis: Collaboration of the Large Language Model and Small Classifier. - Yongqi Han 001; Qingfeng Du; Ying Huang; Jiaqi Wu; Fulong Tian; Cheng He (ASE, 2024)

Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data. - Yongqi Han 001; Qingfeng Du; Ying Huang; Pengsheng Li; Xiaonan Shi; Jiaqi Wu; Pei Fang; Fulong Tian; Cheng He (IEEE Trans. Serv. Comput., 2024)