Jian-Wei Zhang

Gray matter subtyping with SuStaIn reveals neuroanatomical patterns in autism spectrum disorder

Dynamic-Weighted Contrastive Adversarial Training

Adversarial training (AT) is a mainstream paradigm for improving the robustness of deep models. However, natural and adversarial examples often exhibit distributional discrepancies in feature space, and fixed-weight contrastive constraints can conflict with classification learning when applied throughout training. To a...

A Survey of Multi-Model Collaboration in Video Understanding

The rapid development of multimodal foundation models has shifted video understanding from perception-centered recognition toward more general semantic interpretation, reasoning, and decision-making over dynamic visual content. As video understanding tasks increasingly require fine-grained perception, long-range tempor...

MF-HGNN: A multi-view fusion heterogeneous graph neural network for psychiatric disorder diagnosis