Author

Yi Wei

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#machine learning Preprint Jun 2026

Directional Linear Separability of Neural Representations: Geometry and Transformations

The directional linear separability measure (D-LSM) is introduced, which quantifies unavoidable competing-sample intrusion over affine halfspaces retaining every target sample, characterize its supporting geometry, and prove invariance under injective affine embeddings.

Yi Wei, Xuan Qi, Suorong Yang et al. · 0 citations

Open access 2026

Graph-Enhanced Critic Learning for Cooperative Spectrum Access in Multi-UAV Cognitive Radio Networks

A graph-enhanced centralized critic is proposed that injects topology-aware relational embeddings into value estimation while leaving decentralized actors unchanged, with centralized-training overhead and dense 16-secondary-user settings as practical limitations.

Changjing Sun, Zhenhua Wang, Yangzhi Li et al. · IEEE Access · 0 citations