Qi Yan

My name is Qi Yan (颜齐). I am a Ph.D. student in the Electrical and Computer Engineering department at the University of British Columbia, co-supervised by Prof. Renjie Liao and Prof. Lele Wang. I am broadly interested in machine learning, self-driving, and robotics.

Previously: I interned at Borealis AI in 2023, where I worked with Jiawei He, Lili Meng, and Tristan Sylvain on using language models for event forecasting. I obtained my master’s degree in Mechanical Engineering at EPFL in 2022, where I worked with Prof. Alexandre Alahi, Dr. Iordan Doytchinov, and Prof. Bertrand Merminod on robot trajectory planning and visual localization. I received my bachelor’s degree in engineering (honors) at Shanghai Jiao Tong University in 2019.

Please refer to my curriculum vitae if you are interested.

News

Jun 17, 2024	Our paper SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation was accepted to Transactions on Machine Learning Research (TMLR)!
Jan 15, 2024	Our paper AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval was accepted to ICLR 2024!
Oct 12, 2023	Received the UBC Graduate Support Initiative (GSI) Graduate Award!
May 01, 2023	Started summer research internship at Borealis AI!
Mar 08, 2022	I officially graduated from EPFL with master’s degree in mechanical engineering!