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

CV: [English] [中文简历]

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

I will join School of Computer Science and Engineering, Nanjing University of Science and Technology as an assitant proferssor in September, 2019.


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 Sparse Tensor factorization.
    Fengchao Xiong, Jun Zhou, Yuntao Qian.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019 (Accepted)
  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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