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 papers--> IET Computer Vision (IET CV) Special Issue "Spectral Imaging Powered Computer Vision" [CFP]. Deadline is 31 March 2023.

Call for participation-->The Second Hyperspectral Object Tracking Challenge. [CFP]. Deadline is 30th June 2022.

Call for papers--> Remote Sensing （中科院二区） Special Issue "Hyperspectral Object Tracking" [CFP]. Deadline is 15 August 2023.


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1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等荣誉，入选澳门青年学者计划和江苏省双创博士。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. Guest Editorial: Spectral imaging powered computer vision
    Jun Zhou, Fengchao Xiong*, Lei Tong, Naoto Yokoya, Pedram Ghamisi
    IET Computer Vision (IET CV), 2023
  2. 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
  3. 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
  4. 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.
  5. 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.
  6. 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.
  7. 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), [PDF][code] 2022.
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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)
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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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