Fengchao Xiong (熊凤超)

Ph.D candidate

Institute of Artificial Intelligence, College of Computer Science, Zhejiang University

fcxiong@zju.edu.cn | Google Scholar | Github | Blog | Linkedin

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

Biography

I received my bachelor degree from school of software, Shandong University, in 2014. Currently, I am pursuing my Ph.D degree in the college of computer science, Zhejiang University. 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 December 2018. My research lies in computer vision and hyperspectral imaging. I am expected to graduate in September, 2019 and looking for job opportunities! I'm open to industries and academies!

Research

Machine Learning: Computer Vision:

Education

Publication

  1. Dynamic Material-Awarded Object Tracking in Hyperspectral Videos.
    Fengchao Xiong, Jun Zhou, Yuntao Qian, Jocelyn Chanussot.
    IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, 2019.
  2. Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing.
    Qipeng Qian, Fengchao Xiong, Jun Zhou.
    IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Tokyo, 2019.
  3. Material based object tracking in hyperspectral videos: .
    Fengchao Xiong, Jun Zhou, Xi Li, Kun Qian, Yuntao Qian.
    2019 [arXiv]
  4. Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization.
    Fengchao Xiong, Jun Zhou, Yuntao Qian.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019 (Accepted) [Code]
  5. 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]
  6. 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]
  7. 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]
  8. Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing.
    Fengchao Xiong,Jingzhou Chen, Yuntao Qian, Jun Zhou.
    IEEE International Geoscience and Remote Sensing Symposium (IGARSS),Valencia, 2018, pp. 6392-6395. [PDF]
  9. 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].

Projects

  1. Object Tracking. 2017.12-
  2. Hyperspectral Denoising. 2017.12-2018.5
  3. Hyperspectral Unmixing. 2014.9-2017.12
  4. Radar Working State Recognition. 2015.7- 2017.2

Awards & Service

Awards and Honors Professional Activities

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