Harry Zhao (Mingde Zhao, 赵明德)
AI Researcher / Chercheur en IA

I am a student researcher at Mila (L'Institut québécois d'intelligence artificielle, Quebec AI Institute), Montréal, Québec, Canada. Meanwhile, I study as a master student in the School of Computer Science at McGill University, under the supervision of Prof. Doina Precup and Prof. Xiao-Wen Chang. I am currently working on capturing human consciousness with Prof. Yoshua Bengio and have broad interests on the general aspects of AI, specifically Suttonian reinforcement learning (:D) and meta-learning.

Professional Skills

85%

Research

Advanced
Theoretical and applied machine learning, reinforcement learning, meta-laerning and evolutionary strategies.
70%

Programming

Advanced
Tensorflow, PyTorch, MATLAB, python, C, C++ and LaTeX.
75%

Mathematics

Advanced
Geometry, optimization, numerical computation and estimation.

Education

MSc Computer Science

McGill University
2018 - Present
Master of Computer Science (Thesis), with research orientation on reinforcement learning.
CGPA: 4.0/4.0.

Honored BEng. Computer Science and Technology

Dalian University of Technology
2014 - 2018
Honored Bachelor of Computer Science and Technology.
Received the award of Distinguished Student Researcher, 2018.
CGPA (Computer Science): 4.0/4.0.
Weighted percentage: 91%.

Minor BSc Creative Practices

Dalian University of Technology
2014 - 2017
Minor Bachelor of Creative Practices, with research orientation on humanoid robotics.

Work Experiences

Mila

Montreal
Researcher
2019 - now

I joined the Mila as a student researcher in the beginning of the year 2019.

Dalian University of Technology

Dalian
Research Assistant
2017 - 2018

I was employed as the only student research assistant in the School of Computer Science. I worked with the vice dean Prof. Hongwei Ge. We co-authored several journal and conference papers until I have graduated from DUT.

Neusoft

Dalian
Research Engineer
2016 - 2017

I worked as a research engineer intern in the Intelligent Affairs department during my summer vacation and winter vacation, awarded the excellent intern of the year.

Portfolio

A Two-Engine Interaction Driven Many-Objective Evolutionary Algorithm with Feasibility-Aware Adaptation

Hongwei Ge*, Mingde Zhao*, Kai Zhang and Yaqing Hou (*:Equal Contribution)
Journal Paper
Published, Sep 2019

Stacked Denoising Extreme Learning Machine Autoencoder based on Graph Embedding for Feature Representation

Hongwei Ge, Weiting Sun, Mingde Zhao and Yao Yao
Journal Paper
Published, Jan 2019

SOOPLAT: PLATform for Single Objective Optimization

Experiment Platform
Open-Sourced, 2019

Strategy Selection in Complex Game Environments based on Transfer Reinforcement Learning

Hongwei Ge*, Mingde Zhao*, Kai Zhang and Liang Sun (*:Equal Contribution)
Conference Proceeding
Published, Jul 2018

Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation

Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun and Chao Yu
Conference Proceeding
Published, Jul 2018

A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution

Mingde Zhao*, Hongwei Ge*, Hongyan Han and Liang Sun (*:Equal Contribution)
Conference Proceeding
Published, Jul 2018