Guodong Zhang

Machine Learning Group
University of Toronto
Vector Institute

Email: gdzhang at cs dot toronto dot edu


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 Bayesian Deep Learning and Stochastic Optimization methods. During the undergraduate, I also worked on high-level computer vision, particularly semantic segmentation.

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 Prof. Song-Chun Zhu and Ying Nian Wu on energy-based generative models. Besides, I spent half year at Microsoft Research Asia as research intern.


My CV can be found here.

Recent Publications (Google Scholar)


I am/was a TA for


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.
Honorable Winner, Mathematical Contest in Modeling (MCM), 2015.
1st Prize, (%1.5) China Undergraduate Mathematical Contest in Modeling (CUMCM), 2015.
1st Prize, Advanced Math Competition for Undergraduate, 2014.
1st Prize, Physics Competition for Undergraduate, 2014.