Guanyiman Fu, Fengchao Xiong*, Jianfeng Lu, Jun Zhou, "SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising" , IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024.
Fengchao Xiong, Tianhan Li, Jun Zhou, Yi Yang, Jianfeng Lu, Yuntao Qian, "Wavelet Siamese Network with Semi-supervised Domain Adaptation for Remote Sensing Image Change Detection" , IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024.
Fengchao Xiong, Tianhan Li, Jingzhou Chen, Jun Zhou, Yuntao Qian. ”Mask Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024 (ESI高被引论文).
Guanyiman Fu, Fengchao Xiong*, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian. "Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer",IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2024.
Zhuanfeng Li, Fengchao Xiong*, Jun Zhou, Jianfeng Lu, Zhuang Zhao, Yuntao Qian.”Material-Guided Multi-View Fusion Network for Hyperspectral Object Tracking”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024.
Jin Ye, Fengchao Xiong*, Jun Zhou, Yuntao Qian. ”Iterative Low-rank Network for Hyperspectral Image Restoration”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Jingzhou Chen, Fengchao Xiong*, Yuntao Qian, Liang Xiao. "Hierarchical Multi-Granularity Ship Classification Using Hierarchical Constrastive Learning with Learnable Class Quiresr",IEEE Transactions on Geoscience and Remote Sensing(TGRS, 大修), 2024.
Shou Feng, Rui Feng, Fengchao Xiong, Chunhui Zhao, Wei Li, and Ran Tao. "A Transformer-Based Cross-Domain Few-Shot Learning Method for Hyperspectral Target Detection", IEEE Transactions on Geoscience and Remote Sensing (TGRS， 大修), 2024.
Minchao Ye, Jiawei Ling, Wanli Huo, Fengchao Xiong*, Yuntao Qian. "Discriminative Vision Transformer for Heterogeneous Cross-Domain Hyperspectral Image Classification" IEEE Transactions on Geoscience and Remote Sensing (TGRS， 大修), 2024.
Junbin Chen, Minchao Ye, Fengchao Xiong, Yuntao Qian. ”Adaptive Graph Modelling with Self-training for Heterogeneous Cross-scene Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu,Yuntao Qian. "Deep Parameterized Neural Networks for Hyperspectral Image Denoising", IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian. ”Multitask Sparse Representation Inspired Network for Hyperspectral Image Denoising”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
Hui Xie, Jing Han, Yi Zhang, Fengchao Xiong, Zhuang Zhao. ”Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physicsinformed learning”, Optics Express, 2023.
Zhuangeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian. ”Learning a Deep Ensemble Network with Band Importance for Hyperspectral Object Tracking”, IEEE Transactions on Image Processing, 2023.
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian. ”Hyperspectral Image Denoising via Nonlocal Spatial-Spectral Recurrent Neural Network”, IEEE Transactions on Geoscience and Remote Sensing, 2022.
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian. ”SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising”, IEEE Transactions on Image Processing, 2022.
Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian, Learning a deep structural subspace across hyperspectral scenes with cross-domain VAE IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF]
Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian, MAC-Net: Model Aided Nonlocal Neural Network for Hyperspectral Image Denoising IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2021. [PDF] [code]
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian, SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing IEEE Transactions on Geoscience and Remote Sensing ((TGRS), 2021. [PDF] [code]
Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou. Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing (TGRS ), 2020. [PDF]
Fengchao Xiong, Jun Zhou, Yuntao Qian. Material based object tracking in hyperspectral videos IEEE Transactions on Image Processing(TIP) vol. 29, no. 1, pp. 3719-3733, 2020.[PDF][code]
Fengchao Xiong, Jun Zhou, Yuntao Qian. Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization. IEEE Transactions on Geoscience and Remote Sensing (TGRS),vol. 57, no. 12, pp. 10410-10425, Dec. 2019. [PDF] [Code]
Fengchao Xiong, Yuntao Qian, Jun Zhou. Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization.IEEE Transactions on Geoscience and Remote Sensing (TGRS）,vol. 57, no. 4, pp. 2341-2357, April 2019 [PDF] [Code]
Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuan Yan Tang. Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing (TGRS) , vol. 55, no. 3, pp. 1776-1792, March 2017. [PDF][Code].