Guodong Zhang (张国栋)

Machine Learning Group
University of Toronto
Vector Institute

Email: gdzhang at cs dot toronto dot edu

"Many things are only trivial once you know them." - Herman Chernoff

Short Bio

I'm a third-year PhD student in Machine Learning Group at University of Toronto, supervised by Roger Grosse. I also work as a student researcher at Google Brain Toronto (with Geoffrey Hinton and Lala Li).

Previously, I received my bachelor degree in Information Engineering from Zhejiang University in 2017. In 2016 summer, I was a visiting student at UCLA, where I worked with Song-Chun Zhu and Ying Nian Wu on energy-based generative models. After my visiting to UCLA, I spent half year interning at Microsoft Research Asia under the supervision of Dr. Jifeng Dai.

I'm currently working on Optimization and Generalization of Deep Learning and also Bayesian Deep Learning.

Curriculum Vitae

My CV can be downloaded from this link: [CV].

Selected Publications (Google Scholar for Full List)


I am/was a TA for
  • CSC 411: Machine Learning and Data Mining (2018 Fall)
  • CSC 321: Introduction to Neural Networks and Machine Learning (2017 Winter)
  • CSC 384: Introduction to Artificial Intelligence (2017 Fall, 2018 Summer)


  • Conference Reviewer: UAI 2018, NIPS 2018, ICLR 2019, ICML 2019, NeurIPS 2019

Selected Honors & Awards

CHU Kochen Scholarship, Highest honor for only top 12 student at Zhejiang University, 2016.
Cross-disciplinary Scholars in Science and Technology, UCLA, 2016.
National Scholarship in China, (%1.5), Zhejiang University, 2014, 2015, 2016.
Meritorious Winner, Interdisciplinary Contest in Modeling (ICM), 2016.
1st Prize, (%1.5) China Undergraduate Mathematical Contest in Modeling (CUMCM), 2015.