An Unsupervised Convolutional Adversarial Anomaly Detection Model for IoT Data Infrastructure. - Peian Wen; Zhenyu Yang; Lei Wu; Sibo Qi; Juan Chen (HPCC/DSS/SmartCity/DependSys, 2022)

An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. - Sibo Qi; Juan Chen; Peng Chen 007; Peian Wen; Wenyu Shan; Ling Xiong (PAKDD (1), 2023)

An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series. - Sibo Qi; Juan Chen; Peng Chen 007; Jie Li; Wenyu Shan; Peian Wen (WISE, 2023)

An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers. - Sibo Qi; Juan Chen; Peng Chen 007; Peian Wen; Xianhua Niu; Lei Xu (J. Supercomput., 2024)

An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system. - Xi Li; Peian Wen; Peng Chen 007; Juan Chen; Xuming Wen; Yunni Xia (Softw. Qual. J., 2024)