Email: gdzhang[dot]cs[at]gmail[dot]com or gdzhang[at]cs[dot]toronto[dot]edu

Office: Sandford Fleming Building 3203, University of Toronto


Short Biography

I am now a graduate student in Machine Learning Group at the University of Toronto, advised by Roger Grosse and David Duvenaud. My current research interests lie in machine learning and its applications to artificial intelligence. In particular, I focus on deep learning, statistical modeling and computing. During the undergraduate, I also worked on high-level computer vision.

Previously, I received my bachelor degree in Information Engineering from Zhejiang University in 2017. In 2016 summer, I was a visiting student in Center for Vision, Cognition, Learning, and Autonomy at UCLA, where I worked with Prof. Song-Chun Zhu and Ying Nian Wu. Besides, I spent half year at Microsoft Research Asia as research intern.


News

  • Our paper Deformable ConvNets has been accepted by ICCV 2017. Code is released on Github. There is also a cool third-party demo
  • Awarded Chu Kochen Scholarship (Highest distinction in Zhejiang University).

Publications

(+ indicates equal contribution)

2017

Deformable Convolutional Networks
Jifeng Dai+, Haozhi Qi+, Yuwen Xiong+, Yi Li+, Guodong Zhang+, Han Hu, and Yichen Wei
In ICCV (Oral).
PDF, Bibtex, Code
2016

Nonnegative Matrix Cofactorization for Weakly Supervised Image Parsing
Guodong Zhang, Xiaojin Gong
In IEEE Signal Processing Letters.
Bibtex

Experience

  • Visual Computing Group, Microsoft Research Asia (Nov 2016 - June 2017)
    Research intern, with Dr. Jifeng Dai, Yichen Wei

  • Center for Vision, Cognition, Learning, and Autonomy, UCLA (July 2016 - Sep 2016)
    Undergraduate Research Assistant, with Prof. Song-Chun Zhu, Ying Nian Wu

  • Lab of Machine Vision and Navigation, Zhejiang University, Hanzhou (July 2014 - Nov 2016)
    Undergraduate Research Assistant, with Prof. Xiaojin Gong