About me

I’m a master student at College of Automation, Southeast University. I am advised by Prof. Haikun Wei and Prof. Yangang Wang. My research interests are Computer Graphics and Computer Vision, especially 3D Vision. Besides, I’m also interested in Disentangled Representation Learning. My blogs can be found in Zhihu, CSDN.

I was selected as a member of The International AI Training Program For Chinese Universities, 2018 (300 out of 7000 people). I used to be a director of Machine Learning Group and Undergraduate Group in Big Data Lab, College of Engineering, Nanjing Agricultural University.

I always pay attention to Human-Centered AI and want to research for a better world. If I have the chance, I will pursue a Ph.D. degree.

Research Experience

  • April, 2018 - Now:
    • Vision and Cognition Lab, Southeast University
    • Research on Computer Graphics and Computer Vision
      • Animal Modeling, especially from a Single RGB Image
      • Hair Modeling and Rendering
    • Supervisor: Prof. Yangang Wang
  • May, 2017 - September, 2017:
    • Cognitive Intelligence Institute, Southeast University
    • Research on Knowledge Graph, Q&A System
    • Supervisor: Prof. Guilin Qi and Dr. Yuncheng Hua
  • April, 2017 - April, 2018
    • College of Engineering, Nanjing Agricultural University
    • Research on SLAM applied to Agricultue
    • Supervisor: Prof. Xiangze Lin
  • July, 2016 - August, 2019:
    • Big Data Lab, College of Engineering, Nanjing Agricultural University
    • Research on Data Mining and Agricultural Artificial Intelligence [1,2]
    • Supervisor: Prof. Xiuguo Zou

Education Experience

  • M.S. in Pattern Recognition, Southeast University, 2022 (expected)
    • Microsoft Student Club, Southeast University
      • Vice President, 2020.6 - Now
      • Member, 2019.10 - 2020.6
  • B.S. in Electronic Information Science and Technology, Nanjing Agricultural University, 2019
    • Thesis: 3D Reconstruction of Animal from a Single RGB Image
      • Outstanding Undergraduate Thesis Award, Nanjing Agricultural University
    • Big Data Lab
      • Leader of Machine Learning Group & Undergraduate Group, 2017.6 - 2019.8
      • Member, 2016.7 - 2017.6
    • Embedded IoT Innovation Studio
      • Technical Director, 2017.6 - 2018.6
      • Member, 2015.9 - 2017.6
    • GPA: 3.93, rank: 3/111
    • Admitted to Southeast University without examinations, rank: 1/111

Publications

  1. Identification of Tea Diseases based on Spectral Reflectance and Machine Learning.
    X. Zou, Q. Ren, H. Cao, Y. Qian, S. Zhang
    Journal of Information Processing Systems, 2020.(EI)

  2. An Optimization Method for the Calculation of SCADA Main Grid’s Theoretical Line Loss Based on DBSCAN.
    H. Cao, Q. Ren, X. Zou, S. Zhang, Y. Qian
    Journal of Information Processing Systems, 2019.(EI)

Talks

  • ‘Agricultural AI’, China R Conference, 2018
    • Organized by School of Statistics, Renmin University of China and Guanghua School of Management, Peking University

Honors & Awards (selected)

Collaborators (partial list)