ADCapsNet: An Efficient and Robust Capsule Network Model for Anomaly Detection. - Xiangyu Cai; Ruliang Xiao; Zhixia Zeng; Ping Gong 004; Shi Zhang (CACML, 2023)

Anomaly detection for high-dimensional dynamic data stream using stacked habituation autoencoder and union kernel density estimator. - Zhixia Zeng; Ruohe Huang; Ruliang Xiao; Xinhong Lin; Shi Zhang (Concurr. Comput. Pract. Exp., 2023)

ITran: A novel transformer-based approach for industrial anomaly detection and localization. - Xiangyu Cai; Ruliang Xiao; Zhixia Zeng; Ping Gong 004; Youcong Ni (Eng. Appl. Artif. Intell., 2023)

Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection. - Zhixia Zeng; Ruliang Xiao; Xinhong Lin; Tianjian Luo; Jiayin Lin (Inf. Process. Manag., 2023)

Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals. - Xiangwei Chen; Ruliang Xiao; Zhixia Zeng; Zhipeng Qiu; Shi Zhang; Xin Du 003 (CoRR, 2024)

RelTrans: An Enhancing Offline Reinforcement Learning Model for the Complex Hand Gesture Decision-Making Task. - Xiangwei Chen; Zhixia Zeng; Ruliang Xiao; Imad Rida; Shi Zhang (IEEE Trans. Consumer Electron., 2024)

Graph Autoencoder Anomaly Detection for E-Commerce Application by Contextual Integrating Contrast With Reconstruction and Complementarity. - Jinjie Wu; Zhipeng Qiu; Zhixia Zeng; Ruliang Xiao; Imad Rida; Shi Zhang (IEEE Trans. Consumer Electron., 2024)

Semi-supervised anomaly detection via reinforcement learning-enabled method with causal inference. - Xiangwei Chen; Ruliang Xiao; Zhixia Zeng; Shi Zhang; Xin Du 003 (Inf. Sci., 2025)