Graph-based trace analysis for microservice architecture understanding and problem diagnosis. - Xiaofeng Guo; Xin Peng 001; Hanzhang Wang; Wanxue Li; Huai Jiang; Dan Ding; Tao Xie 001; Liangfei Su (ESEC/SIGSOFT FSE, 2020)

Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems. - Zhihan Li; Youjian Zhao; Yitong Geng; Zhanxiang Zhao; Hanzhang Wang; Wenxiao Chen; Huai Jiang; Amber Vaidya; Liangfei Su; Dan Pei (IEEE J. Sel. Areas Commun., 2022)

From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach. - Zhe Xie; Changhua Pei; Wanxue Li; Huai Jiang; Liangfei Su; Jianhui Li; Gaogang Xie; Dan Pei (ESEC/SIGSOFT FSE, 2023)

Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. - Zhe Xie; Haowen Xu; Wenxiao Chen; Wanxue Li; Huai Jiang; Liangfei Su; Hanzhang Wang; Dan Pei (WWW, 2023)

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. - Zhaoyang Yu; Qianyu Ouyang; Changhua Pei; Xin Wang 001; Wenxiao Chen; Liangfei Su; Huai Jiang; Xuanrun Wang; Jianhui Li; Dan Pei (CCGrid, 2024)

Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. - Zhenhe Yao; Changhua Pei; Wenxiao Chen; Hanzhang Wang; Liangfei Su; Huai Jiang; Zhe Xie; Xiaohui Nie; Dan Pei (SIGSOFT FSE Companion, 2024)