Robust subspace clustering via penalized mixture of Gaussians. - Jing Yao 002; Xiangyong Cao; Qian Zhao 002; Deyu Meng; Zongben Xu (Neurocomputing, 2018)

A tensor-based nonlocal total variation model for multi-channel image recovery. - Wenfei Cao; Jing Yao 002; Jian Sun 009; Guodong Han (Signal Process., 2018)

A Robust PCA Approach With Noise Structure Learning and Spatial-Spectral Low-Rank Modeling for Hyperspectral Image Restoration. - Wenfei Cao; Kaidong Wang; Guodong Han; Jing Yao 002; Andrzej Cichocki (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. - Jing Yao 002; Deyu Meng; Qian Zhao 002; Wenfei Cao; Zongben Xu (IEEE Trans. Image Process., 2019)

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. - Jing Yao 002; Danfeng Hong; Jocelyn Chanussot; Deyu Meng; Xiaoxiang Zhu 001; Zongben Xu (ECCV (29), 2020)

Unsupervised Hyperspectral Embedding by Learning a Deep Regression Network. - Danfeng Hong; Jing Yao 002; Jocelyn Chanussot; Xiao Xiang Zhu 001 (IGARSS, 2020)

Locally Linear Reconstruction for Spectral Enhancement Using Limited Pixel-to-Pixel Multispectral and Hyperspectral Data. - Danfeng Hong; Jing Yao 002; Renlong Hang; Jocelyn Chanussot (IGARSS, 2020)

Spatial-Spectral Manifold Embedding of Hyperspectral Data. - Danfeng Hong; Jing Yao 002; Xin Wu 001; Jocelyn Chanussot; Xiao Xiang Zhu 001 (CoRR, 2020)

Robust Fine Registration of Multisensor Remote Sensing Images Based on Enhanced Subpixel Phase Correlation. - Zhen Ye; Jian Kang 005; Jing Yao 002; Wenping Song; Sicong Liu 001; Xin Luo 003; Yusheng Xu; Xiaohua Tong (Sensors, 2020)

Hyperspectral Image Classification With Convolutional Neural Network and Active Learning. - Xiangyong Cao; Jing Yao 002; Zongben Xu; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2020)

Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. - Danfeng Hong; Xin Wu 001; Jing Yao 002; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (IGARSS, 2021)

A Unified Multimodal Deep Learning Framework For Remote Sensing Imagery Classification. - Danfeng Hong; Lianru Gao; Xin Wu 001; Jing Yao 002; Naoto Yokoya; Bing Zhang 001 (WHISPERS, 2021)

Revisiting Graph Convolutional Networks with Mini-Batch Sampling for Hyperspectral Image Classification. - Danfeng Hong; Lianru Gao; Xin Wu 001; Jing Yao 002; Bing Zhang 001 (WHISPERS, 2021)

Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. - Danfeng Hong; Wei He 003; Naoto Yokoya; Jing Yao 002; Lianru Gao; Liangpei Zhang 001; Jocelyn Chanussot; Xiao Xiang Zhu 001 (CoRR, 2021)

Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model. - Danfeng Hong; Jingliang Hu; Jing Yao 002; Jocelyn Chanussot; Xiao Xiang Zhu 001 (CoRR, 2021)

An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification. - Xiangyong Cao; Jing Yao 002; Xueyang Fu; Haixia Bi; Danfeng Hong (IEEE Geosci. Remote. Sens. Lett., 2021)

Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning. - Lianru Gao; Danfeng Hong; Jing Yao 002; Bing Zhang 001; Paolo Gamba; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification. - Danfeng Hong; Lianru Gao; Naoto Yokoya; Jing Yao 002; Jocelyn Chanussot; Qian Du 001; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Graph Convolutional Networks for Hyperspectral Image Classification. - Danfeng Hong; Lianru Gao; Jing Yao 002; Bing Zhang 001; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation. - Danfeng Hong; Jing Yao 002; Deyu Meng; Zongben Xu; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Multimodal Hyperspectral Unmixing via Attention Networks. - Zhu Han 002; Danfeng Hong; Lianru Gao; Jing Yao 002; Bing Zhang 001; Jocelyn Chanussot (IGARSS, 2022)

Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification. - Jing Yao 002; Danfeng Hong; Lianru Gao; Jocelyn Chanussot (IGARSS, 2022)

Deep learning in multimodal remote sensing data fusion: A comprehensive review. - Jiaxin Li; Danfeng Hong; Lianru Gao; Jing Yao 002; Ke Zheng; Bing Zhang 001; Jocelyn Chanussot (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion. - Danfeng Hong; Jing Yao 002; Deyu Meng; Naoto Yokoya; Jocelyn Chanussot (CoRR, 2022)

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review. - Minghua Wang; Danfeng Hong; Zhu Han 002; Jiaxin Li; Jing Yao 002; Lianru Gao; Bing Zhang 001; Jocelyn Chanussot (CoRR, 2022)

PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field. - Haixia Bi; Jing Yao 002; Zhiqiang Wei 004; Danfeng Hong; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion. - Jiaxin Li; Ke Zheng; Jing Yao 002; Lianru Gao; Danfeng Hong (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects. - Muhammad Ahmad; Sidrah Shabbir; Swalpa Kumar Roy; Danfeng Hong; Xin Wu 001; Jing Yao 002; Adil Mehmood Khan; Manuel Mazzara; Salvatore Distefano; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Progress and Challenges in Intelligent Remote Sensing Satellite Systems. - Bing Zhang 001; Yuanfeng Wu; Boya Zhao; Jocelyn Chanussot; Danfeng Hong; Jing Yao 002; Lianru Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification. - Muhammad Ahmad; Usman Ghous; Danfeng Hong; Adil Mehmood Khan; Jing Yao 002; Shaohua Wang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Multimodal Hyperspectral Unmixing: Insights From Attention Networks. - Zhu Han 002; Danfeng Hong; Lianru Gao; Jing Yao 002; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers. - Danfeng Hong; Zhu Han 002; Jing Yao 002; Lianru Gao; Bing Zhang 001; Antonio Plaza; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification. - Jing Yao 002; Xiangyong Cao; Danfeng Hong; Xin Wu 001; Deyu Meng; Jocelyn Chanussot; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. - Jing Yao 002; Danfeng Hong; Lin Xu 001; Deyu Meng; Jocelyn Chanussot; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2022)

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. - Danfeng Hong; Lianru Gao; Jing Yao 002; Naoto Yokoya; Jocelyn Chanussot; Uta Heiden; Bing Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. - Lin Xu 001; Xiangyong Cao; Jing Yao 002; Zheng Yan 001 (IEEE Trans. Netw. Sci. Eng., 2022)

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)

Multispectral Image Noise Removal With Adaptive Loss and Multiple Image Priors Model. - Yang Chen 057; Wenfei Cao; Meiqiao Bi; Jing Yao 002; Danfeng Hong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. - Haotian Zhang; Jing Yao 002; Li Ni; Lianru Gao; Min Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal. - Minghua Wang; Danfeng Hong; Bing Zhang 001; Longfei Ren; Jing Yao 002; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

UCSL: Toward Unsupervised Common Subspace Learning for Cross-Modal Image Classification. - Jing Yao 002; Danfeng Hong; Haipeng Wang; Hao Liu 019; 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)

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)

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation. - Datao Tang; Xiangyong Cao; Xuan Wu; Jialin Li; Jing Yao 002; Xueru Bai; Deyu Meng (CoRR, 2024)

Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. - Yuheng Liu; Ye Wang 020; Yifan Zhang 006; Shaohui Mei; Jiaqi Zou; Zhuohong Li; Fangxiao Lu; Wei He 003; Hongyan Zhang 001; Huilin Zhao; Chuan Chen; Cong Xia; et al. (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)

Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. - Jiangjun Peng; Hailin Wang; Xiangyong Cao; Qian Zhao 002; Jing Yao 002; Hongying Zhang 001; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2024)

IG-GAN: Interactive Guided Generative Adversarial Networks for Multimodal Image Fusion. - Chenhong Sui; Guobin Yang; Danfeng Hong; Haipeng Wang; Jing Yao 002; Peter M. Atkinson; Pedram Ghamisi (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)

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation. - Datao Tang; Xiangyong Cao; Xuan Wu; Jialin Li; Jing Yao 002; Xueru Bai; Dongsheng Jiang; Yin Li; Deyu Meng (CVPR, 2025)

Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method. - Pan Yin; Kaiyu Li; Xiangyong Cao; Jing Yao 002; Lei Liu 014; Xueru Bai; Feng Zhou 001; Deyu Meng (CVPR, 2025)

ISDAT: An image-semantic dual adversarial training framework for robust image classification. - Chenhong Sui; Ao Wang; Haipeng Wang; Hao Liu 019; Qingtao Gong; Jing Yao 002; Danfeng Hong (Pattern Recognit., 2025)

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP. - Li Pang; Jing Yao 002; Kaiyu Li; Xiangyong Cao (CoRR, 2025)

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model. - Kaiyu Li; Zepeng Xin; Li Pang; Chao Pang; Yupeng Deng 001; Jing Yao 002; Guisong Xia; Deyu Meng; Zhi Wang 002; Xiangyong Cao (CoRR, 2025)