Qi Yan

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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

Feb 26, 2025 Our paper MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation was accepted to CVPR 2025!
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)!

Selected Publications [full list]

  1. CVPR
    MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
    Yuxiang Fu, Qi Yan, Lele Wang, Ke Li, and Renjie Liao
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
    arXiv alphaXiv Code Website
  2. workshop
    Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos
    Jiahe Liu, Youran Qu, Qi Yan, Xiaohui Zeng, Lele Wang, and Renjie Liao
    ICML’24 Workshop on Controllable Video Generation, 2024.
    arXiv alphaXiv Code
  3. TMLR
    SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
    Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, and Lele Wang
    Transactions on Machine Learning Research, 2024.
    arXiv alphaXiv Code
  4. ICLR
    AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
    Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, and Tristan Sylvain
    International Conference on Learning Representations, 2024.
    arXiv alphaXiv Code

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