Hangyuan Lu — accepted AI-conference papers

2026

SSDCN: Spatial-Spectral Dual-Clustering-based Network for Hyperspectral Image Super-resolution

Yong Yang, Xuran Zhang, Shuying Huang, Xiaozheng Wang, Weiguo Wan, Hangyuan Lu

ICML 2026poster

Hyperspectral Image Single Image Super-Resolution (HSI-SISR) faces a conflict between computational efficiency and global non-local modeling. Existing Transformers suffer from quadratic complexity, while window-based methods compromise global capture. To address this, we propose the Spatial-Spectral…

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2025

FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask

Xiaozheng Wang, Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Aoqi Zhao

AAAI 2025technical

Currently, most Hyperspectral (HS) pansharpening methods have two problems, namely the lack of consideration the spatial variations of HS images and inaccurate feature reconstruction in multi-channel complex mapping relationships, leading to spectral and spatial distortions in the fusion results. To…

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