Yan-Hui Guo

TriFusion: A Unified CNN-Transformer Framework for Multiscale and Spectral-Spatial Learning in Hyperspectral Image Classification

Hyperspectral image (HSI) classification remains challenging due to two fundamental issues: first, severe spectral redundancy and mixed spectral–spatial noise that degrade discriminability, and second, the difficulty of simultaneously capturing fine-grained local patterns and long-range contextual dependencies under li...

PS2former: Parallel Spatial-Spectral Transformer Network for Hyperspectral Image Classification

UNet-VITS: Elevating Single-Stage TTS Quality with Spectral Restoration and Post-Processing Optimization

This work proposes an enhanced VITS2 architecture, UNet-VITS, to address these long-standing challenges through three synergistic technical improvements—a unique combination not seen in prior research.