Scholar
Qi Chen
Google Scholar ID: MqLoSeoAAAAJ
Postdoc, University of Toronto, Vector Institute, Data Science Institute
Citations & Impact
Citations
357
H-index
9
i10-index
9
Publications
16
Co-authors
7
list available
Resume
Academic Achievements
- One paper accepted to ICLR 2025; One paper accepted to ICML 2024; One paper accepted to NeurIPS 2023; Passed thesis defense
Research Experience
- Currently a Principal Investigator at ELLIS Institute Finland and a Tenure-track Assistant Professor in the Department of Computer Science at Aalto University; Postdoctoral fellow at the Data Science Institute (DSI) and Robot Vision & Learning Lab at the University of Toronto, advised by Prof. Florian Shkurti; Senior algorithm engineer at Baidu and Bytedance
Education
- Ph.D. in Computer Science, Laval University, Advisor: Prof. Mario Marchand; Master of Science in Engineering, Institut Polytechnique de Paris - Telecom Paris; Bachelor's degree, Chien-Shiung Wu College, Southeast University
Background
- Research interests include enhancing the generalization of modern deep learning models in out-of-distribution settings and dynamically changing environments, considering fairness and bias issues. PhD research focuses on interpreting basic human intelligence from the perspective of acquiring and exploiting prior knowledge.
Miscellany
- Personal interests not mentioned
