Scholar
Mengye Ren
Google Scholar ID: XcQ9WqMAAAAJ
NYU
Citations & Impact
Citations
8,623
H-index
33
i10-index
46
Publications
20
Co-authors
34
list available
Publications
Resume (English only)
Academic Achievements
- Two papers accepted at ICML 2025 workshops; two papers accepted at CoLLAs 2025; two papers accepted at ICML 2025; one paper accepted at ICLR 2025; serving as an area chair for ICLR 2026, communications chair for NeurIPS 2025, area chair for COLM 2025, and associate program chair for CoLLAs 2025.
Research Experience
- Currently an Assistant Professor of Computer Science and Data Science at New York University (NYU), leading the Agentic Learning AI Lab. Previously a Visiting Faculty Researcher at Google Brain Toronto (working with Prof. Geoffrey Hinton) and a Senior Research Scientist at Uber Advanced Technologies Group (ATG) and Waabi, working on self-driving vehicles.
Education
- Ph.D. in Computer Science from the University of Toronto, advised by Prof. Richard Zemel and Prof. Raquel Urtasun (2017-2021)
Background
- Research interests include machine learning, computer vision, representation learning, meta-learning, few-shot learning, brain & cognitively inspired learning, robot learning, and self-driving vehicles. He focuses on making machine learning more natural and human-like, enabling AIs to continually learn, adapt, and reason in naturalistic environments.
Miscellany
- Contact: mengye@nyu.edu, +1 (212) 992-7547; Office: 60 5th Ave, Rm 508, New York, NY, 10011; Social Media: LinkedIn, Bsky, CV, GScholar, Lab Webpage
