Author

Jun-Ming Shao

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Conference Open access Sep 2026

From Neural Collapse to Label-Limited Evolving Streams: Geometry-Constrained Learning Under Dynamic Class Imbalance

A novel framework named Neural collapse Inspired Label-limited Evolving stream learning (NILE), which exploits Neural Collapse geometry to explicitly construct a Simplex Equiangular Tight Frame (ETF) as a fixed classifier, ensuring maximal inter-class separability to guide feature discriminability.

Hong-Liang Wang, Hong-Yuan Liu, Qi-Rui Hao et al. · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Preprint Sep 2026

A Lightweight Plastic-Memory Framework for Graph Few-Shot Class-Incremental Learning

This paper proposes a novel lightweight plastic-memory framework specifically designed for few-shot incremental learning on graphs, featuring an innovative evolving micro-clustering structure that dynamically updates representations of class prototypes, sub-prototypes, and their interaction weights.

Zi-Han Mei, Zhi-Li Qin, Tongze Zhang et al. · 0 citations