Author

Guang-Cheng Zhu

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Conference Open access Sep 2026

Dual Branch Mutual Teaching for Long-Tailed Partial Label Learning

In Partial Label Learning (PLL), each instance is associated with a candidate label set, with exactly one label being true. While most studies implicitly assume balanced class distributions, real-world data often exhibit severe class imbalance distributions, leading to the Long-Tailed Partial Label Learning (LT-PLL) pr...

Xiangyu Ren, Mingxuan Xia, Guang-Cheng Zhu et al. · Proceedings of the Thirty-Fi... · 0 citations

Conference Open access Sep 2026

MarCon: Max-Margin Contrastive Learning for Imbalanced Domain Adaptation Semantic Segmentation

This work derives a reformulated pixel-level contrastive learning objective by modeling feature distributions with the von Mises-Fisher distribution, and introduces a Reliability-aware Filter based on the vMF-derived metrics, which performs adaptive class-wise pixel reliability assessment to identify unreliable pixels...

Yi-Bo Wang, Rui-Kang Xu, Guang-Cheng Zhu et al. · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Preprint Sep 2026

DE-Venus: A Data-Efficient RLVR Framework for Large Language Models

Reinforcement learning with verifiable rewards (RLVR) improves large language model reasoning, but its practical scaling is constrained by expensive on-policy rollouts and the cost of obtaining reliable targets at scale. Existing methods address sample selection, incomplete supervision, or noisy labels separately, ofte...

Shen-Zhi Yang, Guang-Cheng Zhu, Kai Tang et al. · 0 citations