Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection. - Haoyi Fan; Fengbin Zhang; Ruidong Wang 001; Liang Xi; Zuoyong Li (PAKDD (2), 2020)

CC-CSA: A culture&chaos-inspired clonal selection algorithm for abnormal detection. - Liang Xi; Ruidong Wang 001; Fengbin Zhang; Yuezhongyi Sun (J. Intell. Fuzzy Syst., 2020)

Semi-Supervised Time Series Classification by Temporal Relation Prediction. - Haoyi Fan; Fengbin Zhang; Ruidong Wang 001; Xunhua Huang; Zuoyong Li (ICASSP, 2021)

Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection. - Liang Xi; Ruidong Wang 001; Zhi-Yu Yao; Fengbin Zhang (IEEE Trans. Evol. Comput., 2021)

Semi-supervised Time Series Classification Model with Self-supervised Learning. - Liang Xi; Zichao Yun; Han Liu; Ruidong Wang 001; Xunhua Huang; Haoyi Fan (Eng. Appl. Artif. Intell., 2022)

Deep Dual Support Vector Data description for anomaly detection on attributed networks. - Fengbin Zhang; Haoyi Fan; Ruidong Wang 001; Zuoyong Li; Tiancai Liang (Int. J. Intell. Syst., 2022)

Data-Correlation-Aware Unsupervised Deep-Learning Model for Anomaly Detection in Cyber-Physical Systems. - Liang Xi; Ruidong Wang 001; Zygmunt J. Haas (IEEE Internet Things J., 2022)

KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection. - Xunhua Huang; Fengbin Zhang; Ruidong Wang 001; Xiaohui Lin 014; Han Liu; Haoyi Fan (IEEE Trans. Instrum. Meas., 2023)

Bidirectional consistency with temporal-aware for semi-supervised time series classification. - Han Liu; Fengbin Zhang; Xunhua Huang; Ruidong Wang 001; Liang Xi (Neural Networks, 2024)

Adversarial regularized attributed network embedding for graph anomaly detection. - Chongrui Tian; Fengbin Zhang; Ruidong Wang 001 (Pattern Recognit. Lett., 2024)

Adaptive-Correlation-Aware Unsupervised Deep Learning for Anomaly Detection in Cyber-Physical Systems. - Liang Xi; Dehua Miao; Menghan Li; Ruidong Wang 001; Han Liu; Xunhua Huang (IEEE Trans. Dependable Secur. Comput., 2024)

Deep joint adversarial learning for anomaly detection on attribute networks. - Haoyi Fan; Ruidong Wang 001; Xunhua Huang; Fengbin Zhang; Zuoyong Li; Shimei Su (Inf. Sci., 2024)

CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis. - Ruidong Wang 001; Fengbin Zhang; Xunhua Huang; Chongrui Tian; Liang Xi; Haoyi Fan (IEEE Trans. Ind. Informatics, 2024)

SERA: Semantic Entity Recognition and Alignment for Threat Intelligence Representation. - Xinyu Liu; Tianbo Wang 001; Chunhe Xia; Yingming Zeng; Ruidong Wang 001 (TrustCom, 2025)

NMFAD: Neighbor-Aware Mask-Filling Attributed Network Anomaly Detection. - Liang Xi; Runze Li; Menghan Li; Dehua Miao; Ruidong Wang 001; Zygmunt J. Haas (IEEE Trans. Inf. Forensics Secur., 2025)

Context Correlation Discrepancy Analysis for Graph Anomaly Detection. - Ruidong Wang 001; Liang Xi; Fengbin Zhang; Haoyi Fan; Xu Yu 001; Lei Liu 031; Shui Yu 001; Victor C. M. Leung (IEEE Trans. Knowl. Data Eng., 2025)

Adaptive Spatio-Temporal Relation Based Transformer for Traffic Flow Prediction. - Ruidong Wang 001; Liang Xi; Jinlin Ye; Fengbin Zhang; Xu Yu 001; Lingwei Xu (IEEE Trans. Veh. Technol., 2025)

Efficient Reasoning via Chain of Unconscious Thought. - Ruihan Gong; Yue Liu 008; Wenjie Qu 001; Mingzhe Du; Yufei He; Yingwei Ma; Yulin Chen; Xiang Liu; Yi Wen 001; Xinfeng Li; Ruidong Wang 001; Xinzhong Zhu; et al. (CoRR, 2025)

FedRDA: Representation Deviation Alignment in Heterogeneous Federated Learning. - Wenjie Yao; Guanglu Sun; Suxia Zhu; Ruidong Wang 001; Xinzhong Zhu; Huiying Xu; Xiguang Wei (IEEE Trans. Ind. Informatics, 2025)

Structure adversarial augmented graph anomaly detection via multi-view contrastive learning. - Qian Chen; Huiying Xu; Ruidong Wang 001; Yue Liu 008; Xinzhong Zhu (Knowl. Based Syst., 2026)

DuDi: Dual-Scope Discrepancy-Aware Attributed Network Anomaly Detection. - Liang Xi; Runze Li; Dichen Li; Ruidong Wang 001; Han Liu; Huiying Xu; Xinzhong Zhu (IEEE Trans. Signal Inf. Process. over Networks, 2026)