A Novel Unsupervised Anomaly Detection Approach Using Neural Transformation in Cloud Environment. - Rui Zhang 099; Juan Chen; Yujia Song; Wenyu Shan; Peng Chen 007; Yunni Xia (CLOUD, 2022)

A Robust and Accurate Multivariate Time Series Anomaly Detection in Fluctuating Cloud-Edge Computing Systems. - Yujia Song; Ruyue Xin; Rui Zhang 099; Juan Chen; Zhiming Zhao (HPCC/DSS/SmartCity/DependSys, 2022)

Identifying performance anomalies in fluctuating cloud environments: A robust correlative-GNN-based explainable approach. - Yujia Song; Ruyue Xin; Peng Chen 007; Rui Zhang 099; Juan Chen; Zhiming Zhao (Future Gener. Comput. Syst., 2023)

Autonomous selection of the fault classification models for diagnosing microservice applications. - Yujia Song; Ruyue Xin; Peng Chen 007; Rui Zhang 099; Juan Chen; Zhiming Zhao (Future Gener. Comput. Syst., 2024)

An Effective Transformation-Encoding-Attention Framework for Multivariate Time Series Anomaly Detection in IoT Environment. - Rui Zhang 099; Juan Chen; Yujia Song; Wenyu Shan; Peng Chen 007; Yunni Xia (Mob. Networks Appl., 2024)

MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices. - Juan Chen; Rui Zhang 099; Peng Chen 007; Jianhua Ren; Zongling Wu; Yang Wang; Xi Li; Ling Xiong (J. Cloud Comput., 2024)