Publications

Journal Papers

[J68] Jing Yao, Bing Zhang, Chenyu Li, Danfeng Hong, Jocelyn Chanussot. Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-15. [paper][ESI Highly Cited Paper]

[J67] Chenyu Li, Bing Zhang, Danfeng Hong, Jing Yao, Jocelyn Chanussot. LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-12. [paper][ESI Highly Cited Paper]

[J66] Shangqi Deng, Lianjian Deng, Xiao Wu, Ran Ran, Danfeng Hong, Gemine Vivone. PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-10. [paper][ESI Highly Cited Paper]

[J65] Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot. Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review. IEEE Geoscience and Remote Sensing Magazine, 2023, 11(1): 26-72.[paper][ESI Highly Cited Paper]

[J64] Ding, Yao, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Nengjun Yang, and Bei Wang. Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification. Expert Systems with Applications, 2023,  223: 119858. [paper][ESI Highly Cited Paper]

[J63] Gao, Hongmin, Yitong Zhang, Zhonghao Chen, Shufang Xu, Danfeng Hong, and Bing Zhang. A Multidepth and Multibranch Network for Hyperspectral Target Detection Based on Band Selection. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-18. [paper][ESI Highly Cited Paper]

[J62] Han, Zhu, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, and Jocelyn Chanussot. Multimodal hyperspectral unmixing: Insights from attention networks. IEEE Transactions on Geoscience and Remote Sensing, 2022,  60: 1-13. [paper][ESI Highly Cited Paper]

[J61] Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot. Deep learning in multimodal remote sensing data fusion: A comprehensive review, International Journal of Applied Earth Observation and Geoinformation, 2022, 112:102926. [paper][ESI Hot Paper][ESI Highly Cited Paper]

[J60] Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot. Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:1-10. [paper][ESI Highly Cited Paper]

[J59] Minghua Wang, Qiang Wang, Danfeng Hong*, Swalpa Kumar Roy, Jocelyn Chanussot. Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection, IEEE Transactions on Cybernetics, 2023, 53(1): 679-691. [paper][ESI Highly Cited Paper]

[J58] Xin Wu, Danfeng Hong*, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Transactions on Image Processing, 2023, 32: 364-376. [paper][ESI Hot Paper][ESI Highly Cited Paper]

[J57] Jiaxin Li, Ke Zheng, Jing Yao, Lianru Gao, Danfeng Hong. Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion, IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. [paper][ESI Highly Cited Paper]

[J56] Pan Chen, Bing Zhang, Danfeng Hong, Zhengchao Chen, Xuan Yang, Baipeng Li. FCCDN: Feature constraint network for VHR image change detection, Information Sciences, 2022, 602: 201-209. [paper][ESI Highly Cited Paper]

[J55] Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Li, Wei Cai, Ying Zhang. AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification, ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 187: 101-109. [paper]ESI Highly Cited Paper]

[J54] Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Chengguo Yu, Nengjun Yang Weiwei Cai. Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification, Neurocomputing, 2022, 501: 246-257. [paper][ESI Hot Paper][ESI Highly Cited Paper]

[J53] Bing Zhang, Yuanfeng Wu, Boya Zhao, Jocelyn Chanussot, Danfeng Hong, Jing Yao, and Lianru Gao. Progress and challenges in intelligent remote sensing satellite systems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 1814 - 1822. [paper][ESI Highly Cited Paper]

[J52] Xin Wu, Danfeng Hong*, and Jocelyn Chanussot. Convolutional neural networks for multimodal remote sensing data classification. IEEE Transactions on Geoscience and Remote Sensing,  2022, 60: 1-10. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J51] Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, Danfeng Hong*, Xin Wu, Jing Yao, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, and Jocelyn Chanussot. Hyperspectral image classification—Traditional to deep models: A survey for future prospects. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,  2021, 15: 968-999. [paper][ESI Highly Cited Paper]

[J50] Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.  [paper][code][ESI Highly Cited Paper]

[J49] Jing Yao, Danfeng Hong*, Lin Xu, Deyu Meng, Jocelyn Chanussot, Zongben Xu. Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing (TGRS),  2022, 60: 1-14. [paper][code][ESI Highly Cited Paper]

[J48] Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep EncoderDecoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE Geoscience and Remote Sensing Letters (GRSL), 2022, 19: 1-5.  [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J47] Lianru Gao, Zhu Han, Danfeng Hong*, Bing Zhang, Jocelyn Chanussot. CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022, 60: 1-14. [paper][code][ESI Highly Cited Paper]

[J46] Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. SpectralFormer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022, 60: 1-15. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J45]Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu. Interpretable Hyperspectral Artificial Intelligence: When Non-Convex Modeling meets Hyperspectral Remote Sensing, IEEE Geoscience and Remote Sensing Magazine (GRSM), 2021, 9(2): 52-87. [paper][ESI Hot Paper] [ESI Highly Cited Paper]

[J44] Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(7): 5966-5978. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J43] Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu. Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction, IEEE Transactions on Cybernetics (TC), 2021, 51(7): 3602-3615. [paper][code][ESI Hot Paper] [ESI Highly Cited Paper]

[J42] Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 178: 68-80. [paper][code][ESI Hot Paper] [ESI Highly Cited Paper]

[J41] Xiangyong Cao, Jing Yao, Xueyang Fu, Haixia Bi, Danfeng Hong. An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters  (GRSL), 2021, 18(6): 1104-1108. [paper][ESI Highly Cited Paper]

[J40] Danfeng Hong, Jing Yao, Deyu Meng, Zongben Xu, Jocelyn Chanussot. Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(6): 5103-5113. [paper][ESI Hot Paper][ESI Highly Cited Paper]

[J39] Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(5): 4340-4354. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J38] Danfeng Hong, Jian Kang, Naoto Yokoya, Jocelyn Chanussot. Graph-Induced Aligned Learning on Subspaces for Hyperspectral and Multispectral Data, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(5): 4407-4418. [paper]

[J37] Jian Kang, Ruben Fernandez-Beltran, Danfeng Hong*, Jocelyn Chanussot, Antonio Plaza. Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(5): 4355-4369. [paper][code][ESI Highly Cited Paper]

[J36] Nan Ge, Richard Bamler, Danfeng Hong, Xiao Xiang Zhu. Single-Look Multi-Master SAR Tomography: An Introduction, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(3): 2132-2154. [paper]

[J35] Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot. Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(3): 2487-2502. [paper][ESI Highly Cited Paper]

[J34] Lianru Gao, Danfeng Hong*, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot. Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021, 59(3): 2269-2280. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J33] Jian Kang, Danfeng Hong*, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir. Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, 32(2): 826-840. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J32] Behnood Rasti, Danfeng Hong*, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson. Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep: Overview and Toolbox, IEEE Geoscience and Remote Sensing Magazine (GRSM), 2020, 8(4): 60-88. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J31] Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiaoxiang Zhu. "Learning-Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data," IEEE Geoscience and Remote Sensing Letters  (GRSL), 2020, 17(8): 1470-1474. [paper]

[J30] Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du. Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 167: 39-53. [paper]

[J29] Danfeng Hong, Naoto Yokoya, Gui-song Xia, Jocelyn Chanussot, Xiaoxiang Zhu. "X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data", ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 167: 12-23. [paper][ESI Hot Paper][ESI Highly Cited Paper]

[J28] Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu. ''Classification of Hyperspectral and LiDAR Data Using Coupled CNNs,'' IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020, 58(7): 4939-4950. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J27] Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiaoxiang Zhu. "Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020, 58(6): 3791-3808. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J26] Rong Huang, Yusheng Xu, Danfeng Hong, Wei Yao, Pedram Ghamisi, Uwe Stilla. "Deep Point Embedding for Urban Classification Using ALS Point Clouds: A New Perspective from Local to Global," ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 163: 62-81. [paper][ESI Highly Cited Paper]

[J25] Rong Huang, Danfeng Hong*, Yusheng Xu, Wei Yao, Uwe Stilla. "Multi-Scale Local Context Embedding for LiDAR Point Cloud Classification," IEEE Geoscience and Remote Sensing Letters  (GRSL), 2020, 17(4): 721-725. [paper][Featured on Journal Cover]  

[J24] Xin Wu, Danfeng Hong*, Jocelyn Chanussot, Ran Tao, Yang Xu, Yue Wang. "Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection," IEEE Geoscience and Remote Sensing Letters  (GRSL), 2020, 17(2): 302-306. [paper][ESI Highly Cited Paper]

[J23] Jingliang Hu, Danfeng Hong, Xiaoxiang Zhu. "MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019, 57(11): 9025-9040. [paper]

[J22] Xin Wu, Ran Tao, Danfeng Hong, Yue Wang. "FrFT Convolutional Face: Towards Robust Face Recognition Using Fractional Fourier Transform and Convolutional Neural Networks," Science China Information Sciences  (SCIS), 2020, 63(1): 119201. [paper]

[J21] Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiaoxiang Zhu. "Learning to Propagate Labels on Graphs: An Iterative Multitask Regression Framework for Semi-supervised Hyperspectral Dimensionality Reduction," ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 158: 35-49. [paper][ESI Highly Cited Paper]

[J20] Xun Liu, Chenwei Deng, Jocelyn Chanussot, Danfeng Hong, Baojun Zhang. "StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion,"  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019, 57(9): 6552-6564. [paper][ESI Highly Cited Paper]

[J19] Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi. "Cascaded Recurrent Neural Networks for Hyperspectral Image Classification,"  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019, 57(7): 5384-5394. [paper][code][ESI Highly Cited Paper]

[J18] Xin Wu, Danfeng Hong*, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao. "ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019, 57(7): 5146-5158. [paper][ESI Highly Cited Paper]

[J17] Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu, "CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences," IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019, 57(7): 4349-4359. [paper] [code][ESI Highly Cited Paper]

[J16] Jingliang Hu, Danfeng Hong, Yuanyuan Wang, Xiao Xiang Zhu. "A Comparative Review of Manifold Learning Techniques for Hyperspectral and Polarimetric SAR Image Fusion," Remote Sensing, 2019, 11(6): 681. [paper]

[J15] Bo Zhang, Meng Zhang, Jian Kang, Danfeng Hong, Jian Xu, Xiao Xiang Zhu. "Estimation of PMx Concentrations from Landsat 8 OLI Images Based on a Multilayer Perceptron Neural Network," Remote Sensing, 2019, 11(6): 646. [paper]

[J14] Bo Zhang, Meng Zhang, Danfeng Hong. "Land Surface Temperature Retrieval from Landsat 8 OLI/TIRS Images based on Back-Propagation Neural Network," Indoor and Built Environment, 2019, 1420326X19882079.

[J13] Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu, "An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing," IEEE Transactions on Image Processing (TIP), 2019, 28(4): 1923-1938. [paper][code][ESI Hot Paper][ESI Highly Cited Paper]

[J12] Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiao Xiang Zhu, "Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification," ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 147: 193-205. [paper] [code] [ESI Highly Cited Paper]

[J11] Xin Wu*, Danfeng Hong*, Pedram Ghamisi, Wei Li, Ran Tao, "MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial  Object Detection," Remote Sensing, 2018, 10(12): 1990. [paper]

[J10] Danfeng Hong, Xiao Xiang Zhu, "SULoRA: Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis," IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2018, 12(6): 1351-1363. [paper] [code]

[J9] Danfeng Hong, Naoto Yokoya, Xiao Xiang Zhu, "Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2017, 10(6): 2960-2975.  [paper] [code]

[J8] Danfeng Hong, Wanquan Liu, Xin Wu, Zhenkuan Pan, Jian Su, "Robust Palmprint Recognition based on the Fast Variation Vese-Osher Model," Neurocomputing, 2016, 174: 999-1012. [paper]

[J7] Jian Su, Xuefeng Zhao, Danfeng Hong, Zhongqiang Luo, Haipeng Chen, "Q-Value Fine-Grained Adjustment Based RFID Anti-Collision Algorithm ," IEICE Transactions on Communications, 2016, E99.B(7): 1593-1598. [paper]

[J6] Jian Su, Zhengguo Sheng, Danfeng Hong, Guanjun Wen, "An Effective Frame Breaking Policy for Dynamic Framed Slotted Aloha in RFID," IEEE Communications Letters, 2016, 20(4): 692-695. [paper]

[J5] Jian Su, Danfeng Hong, Junlin Tang, Haipeng Chen, "An Efficient Anti-Collision Algorithm Based on Improved Collision Detection Scheme," IEICE Transactions on Communications, 2016, E99.B(2): 465-470. [paper]

[J4] Danfeng Hong, Wanquan Liu, Jian Su, Zhenkuan Pan, Guodong Wang, "A Novel Hierarchical Approach for Multispectral Palmprint Recognition,"  Neurocomputing, 2015, 151, 511-521. [paper]

[J3] Jian Su, Guanjun Wen, Danfeng Hong, "A New RFID Anti-collision Algorithm Based on the Q-Ary Search Scheme," Chinese Journal of Electronics, 2015, 24(4): 679-683. [paper]

[J2] Danfeng Hong, Jian Su, Qinggen Hong, Zhenkuan Pan, Guodong Wang, "Blurred Palmprint Recognition Based on Stable-Feature Extraction Using a Vese–Osher Decomposition Model," PLOS ONE, 2014, 9(7): e101866. [paper]

[J1] Danfeng Hong, Zhenkuan Pan, Xin Wu, "Improved Differential Box Counting with Multi-Scale and Multi-Direction: A New Palmprint Recognition Method," Optik-International Journal of Light Electron Optics, 2014, 125(15): 4154-4160. [paper]

Conference Papers

[C7] Danfeng Hong, Lianru Gao, Xin Wu, Jing Yao, Bing Zhang, "Revisiting Graph Convolutional Networks with Mini-batch Sampling for Hyperspectral Image Classification," WHISPERS , Amsterdam, Netherlands, March, 2021. (Jose Bioucas Dias Award (Outstanding Paper Award)) (Oral)

[C6] Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He, "Guided Deep Decoder: Unsupervised Image Pair Fusion," European Conference on Computer Vision (ECCV), Glasgow, UK, August,  pp. 87-102, 2020. (Spotlight) [paper][code]

[C5] Jing Yao, Danfeng Hong*, Jocelyn Chanussot, Deyu Meng, Xiao Xiang Zhu, Zongben Xu, "Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution," European Conference on Computer Vision (ECCV), Glasgow, UK, August, pp. 208-224, 2020. (Poster) [paper][code]

[C4] Danfeng Hong, Naoto Yokoya, Jian Xu, Xiao Xiang Zhu, "Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification," European Conference on Computer Vision (ECCV), Munich, Germany, September, pp. 469-484, 2018. (Poster) [paper] [code]

[C3] Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu, "Learning a Low-Coherence Dictionary to Address Spectral Variability for Hyperspectral Unmixing," IEEE International Conference on Image Processing (ICIP), Beijing, China, September, pp. 17-20, 2017. (Oral) [paper]

[C2] Jian Su, Zhengguo Sheng, Danfeng Hong, Victor C. M. Leung, "An Efficient Sub-frame based Tag Identification Algorithm for UHF RFID Systems ," IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May, pp. 1-6, 2016. (Poster) [paper] 

[C1] Gang Wang, Weibo Wei, Zhenkuan Pan, Danfeng Hong, Mengqi Jia "Structural Feature Measurement Using Fast VO Model for Blurred Palmprint Recognition," Chinese Conference on Biometric Recognition (CCBR), Tianjin, China, November, pp. 266-274, 2015. (Best Student Paper Award) (Oral) [paper]

PhD Thesis

Danfeng Hong. Regression-induced representation learning and its optimizer: A novel paradigm to revisit hyperspectral imagery analysis, Technical University of Munich (TUM),  2019. (Summa Cum Laude) [paper]