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An-Ming Dong

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Open access 2026

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...

Fei-Long Fan, An-Ming Dong, En Li et al. · 0 citations

FedDyna: Privacy-Preserving Federated Learning with Dynamic Noise Adaptation and Structural Bias Alignment for Non-IID Environments

FedDyna is proposed, a novel framework that uses an adaptive noise injection mechanism to enhance privacy in non-IID data environments and effectively demonstrates the significant divergence between dynamic and static noise under non-IID settings.

Guijuan Wang, Zhiyu Zuo, An-Ming Dong et al. · 0 citations

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