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Ziyu Zhang | 张子雨

Research Engineer @ Stealth Startup
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In 2016, I graduated with an M.Sc. degree in Computer Science from the University of Toronto where my research was mainly about instance segmentation. I wish to acknowledge the tremendous support I received from Alex and Shenlong during my graduate studies in Toronto. Then I spent a year in Chicago to work on generative modeling with Alex in addition to attending Northwestern. In June 2017, I started to work for Snap Research in Los Angeles. After a 19-month tenure, I moved to the San Francisco Bay Area in February 2019 and currently work for a stealth startup in Palo Alto.

Education

Northwestern University 2016 - 2017

Degree: M.Sc. in Computer Science
GPA: 3.9/4.0
Research Area: Generative Modeling, Computer Vision, Language Modeling
Collaborator: Prof. Alexander Schwing

Univeristy of Toronto 2014 - 2016

Degree: M.Sc. in Computer Science
GPA: 3.9/4.0
Research Areas: Computer Vision
Thesis: Instance-level Segmentation with CNNs and Densely Connected MRFs
Advisors: Prof. Raquel Urtasun and Prof. Sanja Fidler

Tsinghua University 2009 - 2013

Degree: B.Eng. in Electronic Information Science and Technology
Minor: Economics
GPA: 91/100
Thesis: A Study on Optimal Design of Freeform Optical Surfaces
Thesis Advisor: Prof. Hongtao Li

Publications

Generative Modeling using the Sliced Wasserstein Distance

Ishan Deshpande, Ziyu Zhang and Alexander Schwing
CVPR 2018

Creativity: Generating Diverse Questions Using Variational Autoencoders

Unnat Jain*, Ziyu Zhang*, Alexander Schwing (* indicates equal contributions)
CVPR 2017 (Spotlight)

Instance-level Segmentation for Autonomous Driving with Deep Densely Connected MRFs

Ziyu Zhang, Sanja Fidler and Raquel Urtasun
CVPR 2016

Monocular 3D Object Detection for Autonomous Driving

Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler and Raquel Urtasun
CVPR 2016

Monocular Object Instance Segmentation and Depth Ordering with CNNs

Ziyu Zhang*, Alexander Schwing*, Sanja Fidler and Raquel Urtasun (* indicates equal contributions)
ICCV 2015

Invited Talks

ByteDance AI Lab February 2019

Baidu Institute of Deep Learning October 2016

Apple March 2016

Professional Services

Reviewer for ICCV 2019, CVPR 2019, ACCV 2018, ECCV 2018, IJCAI 2018, CVPR 2018

Academic Honors & Awards

DES Scholarship 2014 - 2016

University of Toronto

Tuition Fellowship 2014 - 2016

University of Toronto

Scholarship for Outstanding Academic Performance 2011 - 2013

Tsinghua University

Freshman Scholarship 2009 - 2010

Tsinghua University

Shuping Scholarship 2007 - 2009

Shuping Scholarship Foundation

Teaching

Machine Learning and Data Mining Fall 2014

University of Toronto