Author

Yan Zhong

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2025

Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning

A Theory-Driven Label-Specific Representation (TDLSR) framework is proposed, which develops the proximity-aware imputation mechanism, while deriving class representatives that capture the label correlation semantics and introduces principles of information shift, interaction and orthogonality.

Quanjiang Li, Tian-Xiang Xu, Tingjin Luo et al. · Neural Information Processin... · 3 citations

Preprint Aug 2026

Geometric Regularization for Long-Tailed Semi-Supervised Learning via Gaussian Feature Bridges

This work introduces a novel framework, Gaussian Bridge Consistency (GBC), to address challenges of semi-supervised learning by constructing semantic interpolation paths between unlabeled samples and high-quality class anchors, and proposes BridgeMix, a confidence-aware feature mixing strategy that interpolates both sa...

Hong-Yang He, Xin-Yuan Song, Yan Zhong et al. · 1 citation