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Author

Jia-Hao Wang

2 papers indexed here

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Conference Aug 2026

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...

Jun-Song Zhang, Jian-Wei Zhang, Xiao-Ling Li et al. · 0 citations
Review Open access Oct 2026

A Survey on U-Net with Variants and Their Applications in Two-Dimensional Medical Image Segmentations

Medical image segmentation plays a critical role in computer-assisted diagnosis, treatment planning, surgical navigation, and quantitative medical image analysis. Among deep learning-based segmentation architectures, U-Net has become one of the most influential frameworks because of its encoder–decoder structure and sk...

Tian-Hui Wu, Shamsher Ullah, Bo-Chen Yu et al. · 0 citations

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