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Author

Chu-Wen Xie

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Conference Jul 2026

Unmasking the algorithm: a review of algorithmic bias and fairness in medical AI and image processing

The taxonomy of ethical concerns is categorized—including algorithmic fairness, privacy, transparency, and clinical accountability—and the workflow of bias from unrepresentative training datasets through flawed objective functions to biased clinical deployment is traced.

G. Shi, Hailian Zhang, Chu-Wen Xie et al. · 0 citations
Preprint Aug 2026

Model the Edit, Not the Image: Visual Autoregressive Editing from a Source-Centric Perspective

This work takes a source-centric perspective on VAR editing, in which the encoded source image tokens serve as the primary visual state and the editing process focuses on condition-induced changes, and proposes EditMod, which compares source- and target-conditioned predictions under a shared autoregressive context.

Hongyi Fang, Chu-Wen Xie, Ben-Jia Zhou et al. · 0 citations

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