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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[Biography] [Researh] [Education] [Publications] [Projects] [Awards & Service]

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.


Biography

I joined the school of computer science and engineering, Nanjing University of Science and Technology in October 2019, where I am an Associate Professor. I received my bachelor degree from school of software, Shandong University, in June, 2014. From 2014 to 2019, I studied in the college of computer science, Zhejiang University where I obtained my Ph.D degree in September 2019. I visited Wuhan University as an exchange student from September, 2011 to July, 2012 and Griffith University as a visiting scholar from November 2017 to November 2018. My research lies in computer vision and hyperspectral imaging. I am a co-receiptent of Best Student Paper Award of DICTA 2020 and Best Paper Award on Deep Learning for Earth Observation and Remote Sensing@DICTA 2021. 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.

组内计算资源充足,长期招聘优秀学生加入课题组进行科研训练、本科毕业设计以及读研。如果您对我的研究内容感兴趣,请邮件联系。

拟招2024年秋季入学硕士研究生1-2名,欢迎有保研资格的计算机、软件、电子、控制、物理、数学等相关专业学生通过邮件或电话联系。

News

Research

Working Experience

Education

Selected Publications

  1. 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]
  2. 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]
  3. 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]
  4. 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%)]
  5. 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]
  6. 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)
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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

Awards and Honors Reviewer Volunteer Service

Projects

Students

Ph.D. Master Alumni