Gavin Weiguang Ding

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Researcher

MASc Engineering Science, Simon Fraser University

I am a Machine Learning Researcher working at Borealis AI at Toronto, ON, Canada. I am interested in a wide range of topics of related to machine learning and artificial intelligence. Currently I spend the majority of my time researching adversarial robustness of deep learning models.

Before joining Borealis AI, I was an Artificial Intelligence Researcher at Kindred AI , where I worked on robotics and machine learning.

I was a research scientist (January 2014 to April 2015) working with Dr. Graham Taylor in School of Engineering, University of Guelph, Canada. There, I worked on deep learning and representation learning.

I got my Master of Applied Science degree from School of Engineering Science at Simon Fraser University (Burnaby, BC, Canada). I worked on medical image analysis with Dr. Mirza Faisal Beg. At SFU, I worked on 2 projects: 1) analysis of spatial-temporal zebrafish heart optical mapping data; 2) automated detection of retinal fluids from OCT images.

I got my Bachelor of Engineering degree from School of Advanced Engineering (academic talent program) at Beihang University (Beijing, China), where I studied Automation, specifically, flight control system.

Research Areas

Deep Learning

Adversarial Learning

Publications

Feb. 20, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization

International Conference on Learning Representations (ICLR), 2018
Authors: Y. Cao , G. W. Ding , K. Lui , R. Huang
Sept. 5, 2018

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds

Neural Information Processing Systems (NeurIPS), 2018
Authors: K. Lui , G. W. Ding , R. Huang , R.J. McCann
May 6, 2019

On the Sensitivity of Adversarial Robustness to Input Data Distributions

International Conference on Learning Representations (ICLR), 2019
Authors: G. Weiguang Ding , K. Lui , T. Jin, L. Wang, R. Huang
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