Zhuanfeng Li, Fengchao Xiong*, Jianfeng Lu, Jing Wang, Diqi Chen, Jun Zhou, Yuntao Qian. ”Towards Universal Representation Learning for Multi-domain Hyperspectral Object Tracking”, Pattern Recognition (PR), 2025.
Fengchao Xiong, Yongle Sun, Jun Zhou, Jianfeng Lu*, Yuntao Qian. "Spatial-Spectral-Temporal Correlation Filter for Hyperspectral Object Tracking", IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2025.
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), 2025.
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), 2024.
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.(ESI高被引论文).
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.
Favour Ekong, Fengchao Xiong , Yongsheng Gao , Jun Zhou. "Hyperspectral Imaging for Biomedical Applications: Trends and Future Directions", Artificial Intelligence Review(在审)， 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.
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].
博士生
安泊舟(博士四年级, 协助指导, 2023年入组):
李专峰(博士三年级, 协助指导，2019年入组，硕转博): ICIP 2020， 2022; ICASSP 2022 ; TIP 2023； TGRS 2024; PR 2025；国家公派联合培养博士
傅冠夷蛮(博士二年级, 协助指导，2019年入组，硕转博): IGARSS 2021; TGRS 2022; TGRS 2024; TGRS 2024; 国家奖学金；国家公派联合培养博士
刘正予(博士二年级, 协助指导, 2023年入组)
硕士生
孙永乐（硕士三年级）, TGRS 2025
张艺君 （硕士三年级, 协助指导）, IGARSS 2024
叶瑾 （硕士二年级）, TGRS 2024
吴振兴（硕士二年级）TIP 2025(在审)
张雄（硕士一年级）
於钱力（硕士一年级）
郝旺（硕士一年级）
胡涵煜（硕士一年级）
匡铭璐（大四，2025年入学）
莫振荣（大四，2025年入学）
刘莹莹（大四，2025年入学）
毕业学生
叶鑫海 (2021届硕士研究生)--->上海华为: Remote Sensing 2020; DICTA 2020 最佳学生论文; 南京理工大学优秀毕业生
邹世德 (2022届硕士研究生)--->微软苏州: SmartSat CRC/AI4Space Best Paper Award on Deep Learning for Earth Observation and Remote Sensing@DICTA 2021
涂坤 (2023届硕士研究生)---> 中兴南京， 中国图形图像学报;遥感学报
李天涵 (2024届硕士研究生)---> 杭州虹软， IGARSS 2023, JSTATS 2024, TGRS 2024