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.

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. In 2019, I worked as a student researcher at Google Brain Toronto (with Geoffrey Hinton and Lala Li). In early 2020, I was a visiting student at Institute of Advanced Study (IAS) for special-year program.

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, NeurIPS, ICLR, ICML

Selected Honors & Awards

Borealis AI Fellowships, 2020.
Ontario Graduate Scholarship, University of Toronto, 2020.
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.