Taihong Xiao

Click to View My Curriculum Vitae [PDF]

Address: 311 SE 2 Building, UC Merced, CA, USA, 95343
Phone: (1)209-777-4840, (86)18210929266
Email: txiao3@ucmerced.edu xiaotaihong@126.com

Research Interests

I am interested in fundamental problems in artificial intelligence, including computer vision, deep learning, machine learning. I currently focus on generative adversarial networks, image understanding, interpretable neural networks.

Educations

  • Department of Electrical Engineering and Computer Science, University of California, Merced, 2018 - present
    Ph.D. Vision and Learning Lab

  • Department of Information Sciences, School of Mathematical Sciences, Peking University, 2015 - 2018
    M.S. Computer Vision, Deep Learning, Machine Learning
    GPA: 90/100, Rank: 1/34

  • Department of Mathematics, University of California, Berkeley, 2013.06 - 2013.08
    Summer Session C.
    GPA: 3.6/4.0

  • Taishan College, Shandong University, 2011 - 2015
    B.S. Mathematics and Applied Mathematics.
    GPA: 88.02/100, Rank: 4/14

Publications

Research and Work Experience

  • Research Intern, Momenta Inc. Beijing. 2018.06-2018.08
    Supervisor: Dr. Chaoqun Weng

  • Research Intern, Megvii (Face++) Inc. Beijing. 2017.01 - 2017.11
    Supervisor: Dr. Shuchang Zhou

  • Research Assistant, School of Mathematical Sciences and Key Laboratory of Mathematics and Its Applications, Peking University, 2016.01 - present
    Supervisor: Prof. Jinwen Ma

Teaching

Talks

Honors and Awards

  • National Scholarship, Peking University, 2015-2017 (about $(1\%)^3$)
  • Excellent Academic Performance Award, Peking University, 2016
  • Outstanding Thesis Award in Shandong Province, 2015
  • National Encouragement Scholarship, Shandong University, 2013 (about 10%)
  • Second-Class Scholarship for Outstanding Students, Shandong University, 2013
  • Second Prize in China Undergraduate Mathematical Contest in Modeling, Shandong, 2013
  • Third-class Award of China National Mathematics Olympiad, Jiangxi, 2010
  • Second-class Award of the National Applied Physics Competition, 2008

Skills

  • Adept at Linux, Python, LaTeX, TensorFlow, Pytorch, Matlab, Caffe, OpenCV, C
  • Solid background in mathematics, machine learning and numerical optimization
  • CET-6: 574, TOEFL: 101, GRE: 321 (aw: 4.0), GRE Math Subject: 910 (97%)