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

Jul 08, 2025 Our paper Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models was accepted to Transactions on Machine Learning Research (TMLR)!
Jun 16, 2025 Our paper TrajFlow: Multi-modal Motion Prediction via Flow Matching was accepted to IROS 2025!
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!

Selected Publications [full list]

  1. TMLR
    Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models
    Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, and Leonid Sigal
    Transactions on Machine Learning Research, 2025.
    arXiv Code
  2. IROS
    TrajFlow: Multi-modal Motion Prediction via Flow Matching
    Qi Yan, Brian Zhang, Yutong Zhang, Daniel Yang, Joshua White, Di Chen, Jiachao Liu, Langechuan Liu, Binnan Zhuang, Shaoshuai Shi, and Renjie Liao
    Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025.
    arXiv Code Website
  3. 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 Code Website
  4. 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 Code
  5. 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 Code

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