Fengchao Xiong (熊凤超)

Ph.D, Lecturer

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

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

Biography

I join school of computer science and engineering, Nanjing University of Science and Technology in October 2019 as a lecturer. 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.

Research

Machine Learning: Computer Vision:

Working Experience

Education

Selected Publications

  1. 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]
  2. NMF-SAE: An interpretable sparse autoencoder for hyperspectral unmixing
    Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021. [PDF](There are some errors in the final version.)
  3. Cross-scene hyperspectral feature selection via hybrid whale optimization algorithm with simulated annealing
    Jianxi Wang, Minchao Ye, Fengchao Xiong,Yuntao Qian
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2021. [PDF]
  4. F3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images
    Xinhai Ye, Fengchao Xiong*, Jianfeng Lu, Jun Zhou, Yuntao Qian
    Remote Sensing, 2020. [PDF] Code]
  5. Non-convex Non-separable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing.
    Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian.
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2020. [PDF]
  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. BAE-Net: a band attention aware ensemble network for hyperspectral object tracking.
    Zhuanfeng Li,Fengchao Xiong, Jun Zhou, Jing Wang, Jianfeng Lu, Yuntao Qian.
    IEEE International On Image Processing(ICIP),United Arab Emirates, 2020.[PDF]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization.
    Fengchao Xiong, Yuntao Qian, Jun Zhou..
    IEEE International Conference on Image Processing (ICIP), 2018, [PDF]
  14. 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

Founds

Advising

Phd student Master students Alumni