Fengchao Xiong (熊凤超)

Ph.D, Associate Professor

Department of Artificial Intelligence, School of Computer Science and Engineering, Nanjing University of Science and Technology

fcxiong@njust.edu.cn | Google Scholar | Github | Blog | Linkedin|中文主页

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


Biography

Fengchao Xiong, an associate professor at Nanjing University of Science and Technology. He obtained his bachelor's degree from Shandong University in 2014 and his doctoral degree from Zhejiang University in 2019. He visited Wuhan University, Griffith University, and the University of Macau in 2011-2012, 2017-2018, and 2021-2023, respectively. His primary research focuses on hyperspectral vision and remote sensing image analysis. He has published more than 10 papers in top-tier journals such as IEEE Transactions on Image Processing (TIP) and IEEE Transactions on Geoscience and Remote Sensing (TGRS), including two highly cited papers. He has received awards such as the Best Reviewer from IEEE TGRS, the Best Student Paper Award from DICTA, and recognition as an outstanding supervisor in the China Graduate Artificial Intelligence Innovation Contest. His research is reported by NingXia Daily., Xinhua Net., People.cn. He has led projects including the National Natural Science Foundation of China Youth and General Projects, Jiangsu Provincial Natural Science Foundation Youth Project, Nanjing University of Science and Technology Youth Talent Cultivation Project, 173 Project Sub-Project, and Key Laboratory Open Project. He also serves as a Topical Associate Editor for IEEE TGRS, Guest Editor for Remote Sensing, Guest Associate Editor for IET Computer Vision, and Area Chair for ICME.I am actively seeking excellent students to work with me on machine learning and computer vision. If you are interested, do not hesitate to contact me via email.

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News

Research

Working Experience

Education

Selected Publications

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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
  8. Guest Editorial: Spectral imaging powered computer vision
    Jun Zhou, Fengchao Xiong*, Lei Tong, Naoto Yokoya, Pedram Ghamisi
    IET Computer Vision (IET CV), 2023
  9. 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]
  10. 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
  11. 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.
  12. 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.
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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%)]
  18. 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]
  19. 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)
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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].

Awards & Service

Editor Awards and Honors Reviewer Volunteer Service

Projects

Students

Ph.D. Master Alumni