Author

Wen-Jian Zhang

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Open access 2026

Multimodal DynaST: A Multimodal Framework With Dynamic Sample Selection and Temporal Context Aggregation for Weakly Supervised Video Anomaly Detection

Weakly supervised video anomaly detection (WSVAD) reduces annotation costs by utilizing only video-level labels during training. However, existing methods often suffer from inadequate temporal modeling and noisy supervision, which limit anomaly localization performance. To address these issues, this paper proposes mult...

Wen-Jian Zhang, Xin-Xin Fan, Qi-Wei Pan et al. · IEEE Access · 0 citations

#graph neural networks Open access Sep 2026

A neural-symbolic dynamic graph framework for real-time anomaly detection in software-defined industrial cyber-physical systems

Software-defined industrial cyber-physical systems (SD-ICPS) face emerging security challenges as sensor measurements, system logs, and network traffic become increasingly interconnected under stringent timing requirements. Most existing anomaly detection methods rely on a single modality, provide limited modeling of c...

Sen-Lin Jiang, Wen-Jian Zhang, Hao Pan · Engineering Research Express · 0 citations