Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks. - Danfeng Hong; Bing Zhang 001; Hao Li 019; Yuxuan Li; Jing Yao 002; Chenyu Li 002; Martin Werner 001; Jocelyn Chanussot; Alexander Zipf; Xiao Xiang Zhu 001 (CoRR, 2023)

SpectralGPT: Spectral Foundation Model. - Danfeng Hong; Bing Zhang 001; Xuyang Li; Yuxuan Li; Chenyu Li 002; Jing Yao 002; Naoto Yokoya; Hao Li 019; Pedram Ghamisi; Xiuping Jia; Antonio Plaza; Paolo Gamba; et al. (CoRR, 2023)

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion. - Danfeng Hong; Jing Yao 002; Chenyu Li 002; Deyu Meng; Naoto Yokoya; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection. - Chenyu Li 002; Bing Zhang 001; Danfeng Hong; Jing Yao 002; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework. - Jing Yao 002; Bing Zhang 001; Chenyu Li 002; Danfeng Hong; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperkan: An Interpretable Approximation Network for Hyperspectral Superresolution. - Chenyu Li 002; Bing Zhang 001; Haoran Xu; Danfeng Hong (WHISPERS, 2024)

Deformable Kolmogorov-Arnold Networks For Hyperspectral Image Classification. - Ranko Lau; Jing Yao 002; Chenyu Li 002; Danfeng Hong; Jocelyn Chanussot (WHISPERS, 2024)

RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index. - Jie Deng 002; Danfeng Hong; Chenyu Li 002; Jing Yao 002; Ziqian Yang; Zhijian Zhang; Jocelyn Chanussot (Comput. Electron. Agric., 2024)

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection. - Chenyu Li 002; Bing Zhang 001; Danfeng Hong; Jing Yao 002; Jocelyn Chanussot (CoRR, 2024)

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification. - Jing Yao 002; Danfeng Hong; Chenyu Li 002; Jocelyn Chanussot (CoRR, 2024)

SeaMo: A Multi-Seasonal and Multimodal Remote Sensing Foundation Model. - Xuyang Li; Danfeng Hong; Chenyu Li 002; Jocelyn Chanussot (CoRR, 2024)

CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging. - Chenyu Li 002; Bing Zhang 001; Danfeng Hong; Jun Zhou 001; Gemine Vivone; Shutao Li; Jocelyn Chanussot (Inf. Fusion, 2024)

EXNet: (2+1)D Extreme Xception Net for Hyperspectral Image Classification. - Usman Ghous; Muhammad Shahzad Sarfraz; Muhammad Ahmad; Chenyu Li 002; Danfeng Hong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Interpretable Networks for Hyperspectral Anomaly Detection: A Deep Unfolding Solution. - Chenyu Li 002; Bing Zhang 001; Danfeng Hong; Jing Yao 002; Xiuping Jia; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2024)

HyperSINet: A Synergetic Interaction Network Combined With Convolution and Transformer for Hyperspectral Image Classification. - Qixing Yu; Weibo Wei; Dantong Li; Zhenkuan Pan 001; Chenyu Li 002; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2024)

SpectralGPT: Spectral Remote Sensing Foundation Model. - Danfeng Hong; Bing Zhang 001; Xuyang Li; Yuxuan Li; Chenyu Li 002; Jing Yao 002; Naoto Yokoya; Hao Li 019; Pedram Ghamisi; Xiuping Jia; Antonio Plaza; Paolo Gamba; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dynamic State-Control Modeling for Generalized Remote Sensing Image Super-Resolution. - Chenyu Li 002; Zhaojie Pan; Danfeng Hong (CVPR Workshops, 2025)

A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models. - Muhammad Ahmad; Salvatore Distefano; Adil Mehmood Khan; Manuel Mazzara; Chenyu Li 002; Hao Li 019; Jagannath Aryal; Yao Ding 010; Gemine Vivone; Danfeng Hong (Neurocomputing, 2025)

Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge. - Jiepan Li; He Huang; Yu Xia; Xian Xu; Yingxin Wu; Qi Guo; Yinhe Liu; Yanfei Zhong; Jeongho Min; Sungbin Son; Hyeonjin Kim; Jaejun Yoo; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Hyperspectral Image Classification With Mamba. - Zhaojie Pan; Chenyu Li 002; Antonio Plaza; Jocelyn Chanussot; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2025)

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges. - Lei Ding 008; Danfeng Hong; Maofan Zhao; Hongruixuan Chen; Chenyu Li 002; Jie Deng 002; Naoto Yokoya; Lorenzo Bruzzone; Jocelyn Chanussot (CoRR, 2025)

UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction. - Chenyu Li 002; Danfeng Hong; Bing Zhang 001; Yuxuan Li; Gustau Camps-Valls; Xiao Xiang Zhu 001; Jocelyn Chanussot (CoRR, 2025)

FlexiMo: A Flexible Remote Sensing Foundation Model. - Xuyang Li; Chenyu Li 002; Pedram Ghamisi; Danfeng Hong (CoRR, 2025)

Learning Disentangled Priors for Hyperspectral Anomaly Detection: A Coupling Model-Driven and Data-Driven Paradigm. - Chenyu Li 002; Bing Zhang 001; Danfeng Hong; Xiuping Jia; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Neural Networks Learn. Syst., 2025)

Joint Super-Resolution and Segmentation for 1-m Impervious Surface Area Mapping in China's Yangtze River Economic Belt. - Jie Deng 002; Danfeng Hong; Chenyu Li 002; Naoto Yokoya (CoRR, 2025)

Hyperspectral Imaging. - Danfeng Hong; Chenyu Li 002; Naoto Yokoya; Bing Zhang 001; Xiuping Jia; Antonio Plaza; Paolo Gamba; Jón Atli Benediktsson; Jocelyn Chanussot (CoRR, 2025)

SeaMo: A season-aware multimodal foundation model for remote sensing. - Xuyang Li; Chenyu Li 002; Gemine Vivone; Danfeng Hong (Inf. Fusion, 2026)