Publications

Reference: Google Scholar profile.

2025

  1. NeurIPS
    RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis
    Robin Yadav, Qi Yan, Guy Wolf, Avishek Joey Bose, and Renjie Liao
    NeurIPS, 2025.
    arXiv
  2. NeurIPS
    Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
    Yuanpei Gao, Qi Yan, Yan Leng, and Renjie Liao
    NeurIPS, 2025.
    arXiv Code
  3. 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
  4. 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 Blog Code Website
  5. 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 Blog Code Website

2024

  1. 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 Blog Code
  2. TMLR
    Video Diffusion Models: A Survey
    Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, and Helge Ritter
    Transactions on Machine Learning Research, 2024.
    arXiv
  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 Blog 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 Code

2023

  1. workshop
    What Constitutes Good Contrastive Learning in Time-Series Forecasting?
    Chiyu Zhang, Qi Yan, Lili Meng, and Tristan Sylvain
    IJCAI’23 Workshop-AI4TS: AI for Time Series Analysis, 2023.
    arXiv Code

2022

  1. CVPR
    CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
    Qi Yan, Jianhao Zheng, Simon Reding, Shanci Li, and Iordan Doytchinov
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022.
    arXiv Code Video Website
  2. dataset
    CrossLoc Benchmark Datasets
    Iordan Doytchinov, Qi Yan, Jianhao Zheng, Simon Reding, and Shanci Li
    Dryad, 2022.
    Website

2021

  1. ICCV
    Social NCE: Contrastive Learning of Socially-aware Motion Representations
    Yuejiang Liu, Qi Yan, and Alexandre Alahi
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021.
    arXiv Code Video Website
  2. JET
    Tribo-dynamic Analysis and Motion Control of a Rotating Manipulator Based on the Toad and Temperature Dependent Friction Model
    Qi Yan, Rui Li, and Xianghui Meng
    Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2021.
    PDF Code

2020

  1. RAL & ICRA
    Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions
    Qi Yan, Li Jiang, and Solmaz S Kia
    IEEE Robotics and Automation Letters, 2020.
    arXiv Code Video