Mengye Ren

Mengye Ren

PhD Student
Department of Computer Science
University of Toronto


LinkedIn  GitHub 


Mengye Ren is a PhD student in the machine learning group of the Department of Computer Science at the University of Toronto, working with Prof. Richard Zemel. From 2017 to 2021, he was also a research scientist at Uber Advanced Technologies Group (ATG), working with Prof. Raquel Urtasun. His research focuses on making machines learn in more natural environments with less labeled data.


Areas: machine learning, computer vision, meta-learning, representation learning, few-shot learning, brain & cognitively inspired learning, robot learning, self-driving vehicles

My key research question is: how do we enable human-like, agent-based machine intelligence to continually learn, reason, and adapt in naturalistic environments? Towards this goal of building a more general and flexible AI, my research has centered on developing meta-learning and representation learning algorithms.

Some recent research highlights include:

Selected Papers

[Full List]


Selected Talks