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
| Nov 15, 2024 | Our paper Video Diffusion Models: A Survey was accepted to Transactions on Machine Learning Research (TMLR)! |
| Oct 24, 2024 | Received the UBC Graduate Support Initiative (GSI) Graduate Award! |
| Jul 01, 2024 | Our paper Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos was accepted to the Workshop on Controllable Video Generation at ICML 2024! |
| 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! |
