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Jin-He Zhang

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#machine learning Preprint Oct 2026

Shared Gaussianization: What Gaussian Regularizers Certify About Contrastive Learning, and What They Miss

What can a distribution-matching regularizer such as SIGReg in LeJEPA certify about contrastive learning? We study shared Gaussianization (SG), a characteristic-function Gaussianity test on the average of two normalized views, scaled by an independent $\chi_d$ radius. Because disagreeing views shorten the average, one...

Ruo-Yu Zhao, Yu-Ting Chen, Jin-He Zhang et al. · 0 citations
Open access Oct 2026

RL-Axial: Learning When to Compute Global Context for Multimodal Segmentation

RL-Axial, a multimodal segmentation framework with interpretable, sample-adaptive context aggregation, is proposed, which trains a lightweight selector with a group-normalized policy-gradient objective based on per-sample relative rewards.

Dong Xing, Hang Yang, Jin-He Zhang et al. · 0 citations

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