Qi Chen
Ph.D. in Computer Science
Address: 55 St George St, Toronto, ON, Canada
Email: firstnamelastname[at]cs[dot]toronto[dot]edu
[Google Scholar/ ResearchGate/ Github/ CV]

About me

I’m currently a Postdoc fellow in Robot Vision & Learning Lab at the University of Toronto, supervised by Prof. Florian Shkurti. I recently got my Ph.D. (dissertation with honor) from Laval University, supervised by Prof. Mario Marchand. Prior to this, I was a senior algorithm engineer at Baidu and Bytedance. I obtained my master of science in engineering (diplôme d’ingénière) at Institut Polytechnique de Paris - Telecom Paris and my bachelor’s from Chien-Shiung Wu College, Southeast University in China.

My current research interests include learning theory, efficient generation, etc… Previously, I have been working on theoretical aspects of meta-learning and other deep transfer learning methods. I am also interested in PAC Bayes theory, information-theoretic learning, and reinforcement learning.

Feel free to email me for potential collaborations or discussions.

News

  • [05/24] One paper was accepted to ICML2024.
  • [01/24] I passed my thesis defense.
  • [09/23] One paper was accepted to NeurIPS2023.
  • [09/23] Initial thesis submission completed.
  • [04/23] I passed my thesis proposal defense.
  • [01/23] One paper was accepted to AISTATS2023.
  • [10/22] One paper was accepted to NeurIPS2022.
  • [05/22] One paper was accepted to ICML2022.