熊凤超

副教授,智能科学与技术系, 计算机科学与工程学院, 南京理工大学

fcxiong@njust.edu.cn | Google Scholar | Github | 博客 | Linkedin|English Version

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[个人简介] [研究方向] [教育背景] [发表论文] [项目] [奖项荣誉]

Call for participation-->The Fourth Hyperspectral Object Tracking Challenge. [CFP]. Deadline is 13 September, 2024.


个人简介

熊凤超，南京理工大学副教授，于2014年在山东大学获得学士学位，2019年在浙江大学获得博士学位。分别在2011-2012，2017-2018，2021-2023在武汉大学，格里菲斯大学，澳门大学进行学术交流。主要研究方向包括高光谱视觉和遥感影像分析等。在IEEE TIP，TGRS等国际期刊上发表了10余篇论文，其中包括2篇高被引论文。曾获得IEEE TGRS最佳审稿人奖，DICTA最佳学生论文奖，以及中国研究生人工智能创新大赛优秀指导教师，宁夏自治区科技进步三等奖等荣誉，入选澳门青年学者计划和江苏省双创博士。研究成果被新华网、人民网和宁夏日报等报道。主持国家自然科学基金青年项目、面上项目，江苏省自然科学基金青年项目，南京理工大学青年人才培育项目，173项目子课题，以及重点实验室开放课题等多个项目。担任IEEE TGRS主题编委，Remote Sensing客座主编，IET CV特刊编委，以及ICME领域主席等。

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研究方向

工作经历

教育背景

发表论文

  1. Hierarchical Multi-Granularity Ship Classification Using Hierarchical Constrastive Learning with Learnable Class Quires
    Jingzhou ChenFengchao Xiong*, Yuntao Qian, Liang Xiao.
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2025[PDF]
  2. Spatial–Spectral–Temporal Correlation Filter for Hyperspectral Object Tracking
    Fengchao Xiong*, Yongle Sun, Jun Zhou, Jianfeng Lu, Yuntao Qian.
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2025[PDF]
  3. Multi-domain universal representation learning for hyperspectral object tracking
    Zhuanfeng Li, Fengchao Xiong*, Jianfeng Lu, Jing Wang, Diqi Chen, Jun Zhou, Yuntao Qian.
    Pattern Recognition (PR ), 2025[PDF]
  4. Self-supervised constrained super-resolution fast coded spectral imaging system
    Zhuang Zhao, Yan Zhang, Jing Han, Lianfa Bai , Fengchao Xiong, Jun Lu, Shuaifeng Gong, Xin Ke, Shaoxuan Jiang.
    Optics Express (OE ), 2025[PDF]
  5. A Transformer-Based Cross-Domain Few-Shot Learning Method for Hyperspectral Target Detection
    Shou Feng, Rui Feng, Fengchao Xiong,Chunhui Zhao, Wei Li, Ran Tao.
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024[PDF]
  6. Iterative Low-rank Network for Hyperspectral Image Denoising
    Jin Ye, Fengchao Xiong*, Jun Zhou, Yuntao Qian
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024[PDF] [code]
  7. Discriminative Vision Transformer for Heterogeneous Cross-Domain Hyperspectral Image Classification
    Minchao Ye, Jiawei Ling, Fengchao Xiong*, Yuntao Qian
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024[PDF]
  8. SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising
    Guanyiman Fu, Fengchao Xiong*, Jianfeng Lu, Jun Zhou
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024[PDF] [code]
  9. Wavelet Siamese Network with Semi-supervised Domain Adaptation for Remote Sensing Image Change Detection
    Fengchao Xiong*, Tianhan Li, Yi Yang, Jun Zhou, Jianfeng Lu, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024[PDF] [code]
  10. Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
    Guanyiman Fu, Fengchao Xiong*, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024[PDF] [code]
  11. Material-Guided Multi-View Fusion Network for Hyperspectral Object Tracking
    Zhuanfeng Li, Fengchao Xiong*,Jun Zhou, Jianfeng Lu, Zhuang Zhao, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2024. [PDF] [code]
  12. 多任务卷积稀疏编码网络的高光谱图像去噪
    涂坤, 熊凤超, 傅冠夷蛮, 陆建峰
    中国图象图形学报,2023.
  13. Adaptive graph modeling with self-training for heterogeneous cross-scene hyperspectral image classification
    Minchao Ye, Junbin Chen, Fengchao Xiong*, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS ), 2023
  14. Guest Editorial: Spectral imaging powered computer vision
    Jun Zhou, Fengchao Xiong*, Lei Tong, Naoto Yokoya, Pedram Ghamisi
    IET Computer Vision (IET CV), 2023
  15. Deep Parameterized Neural Networks for Hyperspectral Image Denoising
    Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023. [PDF], [code]
  16. Multitask Sparse Representation Model Inspired Network for Hyperspectral Image Denoising
    Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
  17. Multi-task Convolutional Sparse Coding Network for Hyperspectral Image Denoising
    Kun Tu, Fengchao Xiong, Guanyiman Fu, Jianfeng Lu
    Journal of Image and Graphics (JIG (In Chinese)) ,2023.
  18. Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physics-informed learning
    Hui Xie, Zhuang Zhao, Jing Han, Fengchao Xiong, Yi Zhang
    Optics Express (OE), [PDF] ,2023.
  19. Learning a Deep Ensemble Network for Hyperspectral Object Tracking
    Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian
    IEEE Transactions on Image Processing (TIP), 2023.[PDF] [Code]
  20. Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising
    Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF][code]
  21. SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
    Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian
    IEEE Transactions on Image Processing (TIP), 2022. [PDF][code]
  22. Learning a deep structural subspace across hyperspectral scenes with cross-domain VAE
    Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF]
  23. MAC-Net: Model Aided Nonlocal Neural Network for Hyperspectral Image Denoising
    Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. [PDF] [code][ESI highly cited paper (Top 1%)]
  24. SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing
    Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian,
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. [PDF] [code]
  25. M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images.
    Xinhai Ye,Fengchao Xiong,Haifeng Zhao, Jun Zhou, Jianfeng Lu.
    International Conference on Digital Image Computing: Techniques and Applications(DICTA),Melbourne, 2020. [PDF](Best Student Paper)
  26. Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing.
    Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020. [PDF]
  27. Material based object tracking in hyperspectral videos
    Fengchao Xiong, Jun Zhou, Yuntao Qian.
    IEEE Transactions on Image Processing(TIP) vol. 29, no. 1, pp. 3719-3733, 2020.[PDF][code]
  28. Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization.
    Fengchao Xiong, Jun Zhou, Yuntao Qian.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS),vol. 57, no. 12, pp. 10410-10425, Dec. 2019. [PDF] [Code]
  29. Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization.
    Fengchao Xiong, Yuntao Qian, Jun Zhou.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS),vol. 57, no. 4, pp. 2341-2357, April 2019 [PDF] [Code]
  30. Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter.
    Kun Qian, Jun Zhou,Fengchao Xiong,Huixin Zhou,Juan Du.
    International Conference on Smart Multimedia (ICSM), Toulon, 2018, pp. 308-319 [PDF, code]
  31. Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery.
    Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuan Yan Tang
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), , vol. 55, no. 3, pp. 1776-1792, March 2017. [PDF][Code].

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