Fangqiang Ding

PhD Candidate @ School of Informatics, University of Edinburgh

prof_pic.jpg
Pentland Hills, 2023

about me

I am the final-year PhD student from the School of Informatics, University of Edinburgh, sponsored by the EPSRC CDT in Robotics and Autonomous Systems, supervised by Prof. Chris Xiaoxuan Lu and Prof. Barbara Webb.

🙏 I will graduate in Fall 2025 and am actively seeking a postdoctoral or industrial position, starting from my graduation.

My research focuses on advancing the robustness, efficiency, and privacy-awarness of perception systems for embodied AI. This encompasses applications in mobile robots, autonomous vehicles, IoT and xR-integrated systems, aiming to facilitate their widespread, long-term and non-intrusive deployment in the wild. Currently, my works mainly involve mmWave imaging radar and thermal camera, leveraging their unique sensing resilience to cope with adverse weather and illumination conditions in real world.

Before coming to Edinburgh, I received my B.Eng degree with the highest honour - Academic Star and was awarded double National Scholarships from Tongji University (2017-2021).

👉 I am looking for self-motivated UG/Ms students to work with me and my collaborators at UoE/UCL/ETH/MIT/Cambridge/NTU on cutting-edge research projects, including but not limited to:

  • Mapping: All-day scene completion with thermal imaging for mobile autonomy
  • Scene Understanding: Robust and low-cost perception enabled by surrounding 4D radars
  • Human Motion: Human motion reconstruction from mmWave raw data via Diffusion
  • Representation Learning: Pre-trained transformer for heterogeneous radar sensors

Support in the form of sufficient computational and sensory tools, robot platform, alongside practical supervision and direction, is available. Please send me an email if you are interested.

👉 I am actively looking for a research intern position this year. Shoot me an email if you think I am a good fit!

news

Sep 26, 2024 đź“– One paper accepted to NeurIPS-2024. See you in Vancouver, Canada.
Aug 13, 2024 🎓 Successfully pass my 3rd-year PhD annual review and proceed to my last PhD year.
Jul 01, 2024 🎉 One paper accepted to ECCV-2024. See you in Milano, Italy.
Jan 29, 2024 🎉 One paper accepted to ICRA-2024. See you at Yokohama in May.
Jan 17, 2024 đź“– One paper accepted to Engineering Applications of Artificial Intelligence (EAAI, Q1).
Sep 01, 2023 🎓 Successfully pass my 2nd-year PhD annual review and proceed to my 3rd PhD year.
Jun 01, 2023 🤖 Present my poster @ ICRA-2023 in London. See you next year.
Mar 01, 2023 🎉 Our paper Hidden Gems @ CVPR-2023 was selected as Highlight (top 10%).

selected publications

  1. NeurIPS’24
    radarocc.png
    RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
    Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, and 2 more authors
    In Advances in Neural Information Processing Systems, 2024
  2. ECCV’24
    milliflow.png
    milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
    Fangqiang Ding, Zhen Luo, Peijun Zhao, and 1 more author
    In European Conference on Computer Vision, 2024
  3. ICRA’24
    ratrack.png
    RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
    Fangqiang Ding, Zhijun Pan, Hantao Zhong, and 1 more author
    In IEEE International Conference on Robotics and Automation, 2024
  4. CVPR’23
    cmflow.png
    Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
    Fangqiang Ding, Andras Palffy, Dariu M. Gavrila, and 1 more author
    In IEEE Conference on Computer Vision and Pattern Recognition, 2023
    Selected as Highlight (top 10%)
  5. RA-L/IROS
    raflow.png
    Self-Supervised Scene Flow Estimation with 4D Automotive Radar
    Fangqiang Ding, Zhijun Pan, Yimin Deng, and 2 more authors
    IEEE Robotics Autom. Lett. / IEEE International Conference on Intelligent Robots and Systems, 2022