Guodong Zhang (张国栋)

Machine Learning Group
University of Toronto
Vector Institute
Canada

Email: gdzhang at cs dot toronto dot edu


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

About Me

I'm a 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.

Email me if you have any questions about my paper, or if you're interested in collaborating with me.

Curriculum Vitae

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

Selected Publications (Google Scholar for Full List)

Teaching

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)

Services

  • 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.