Fangqiang Ding

Postdoctoral Associate @ Massachusetts Institute of Technology

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about me

I am a Postdoctoral Associate at MIT, working with Dr. Hermano Igo Krebs, director of The 77 Lab. Before MIT, I worked with Dr. Or Litany at Technion as a Postdoctoral Fellow. I was honored to be awarded a 2025 RSS Pioneer for my work on robust spatial perception for mobile robotics. I received my Ph.D. in Robotics and Autonomous Systems from School of Informatics, The University of Edinburgh, supervised by Dr. Chris Xiaoxuan Lu, and my B.Eng. in Mechanical Engineering from Tongji University.

My research agenda centers on Physical AI, which integrates advanced artifcial intelligence with physical systems (e.g., autonomous vehicles, robots, xR, industrial and IoT devices) to enable them to perceive, understand, and interact in the physical world. My long-term vision is a human–machine symbiotic ecosystem where human and embodied intelligence coexist, collaborate and co-evolve. Achieving this vision requires systems that are robust under changing conditions, responsible around humans, and affordable to deploy at scale. My current work advances this goal along three key axes: (i) condition-adaptive: maintaining robustness across illumination, weather, and environmental changes; (ii) privacy-aware: protecting user identity and sensitive content in privacy-critical applications; (iii) cost-effective: reducing reliance on expensive sensors and compute devices and costly real-world data collection and manual labeling.

news

Oct 01, 2025 📖 Started to work as a Postdoctoral Associate at MIT. Look for more collabrations.
May 13, 2025 🎓 Successfully pass my PhD thesis viva. Many thanks to the committee and collaborators.
Apr 21, 2025 🤖 Selected as an RSS Pioneers 2025 (competitive early-career recognition from the robotics community). See you in Los Angeles, USA.
Feb 24, 2025 🎉 One paper accepted to ACM SenSys’25. See you in Irvine, USA.
Jan 27, 2025 📖 Accept to serve as Associate Editor for IROS-2025. Look forward to contribute.
Sep 26, 2024 🎉 One paper accepted to NeurIPS-2024. See you in Vancouver, Canada.

selected publications

  1. Preprint
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    M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
    Junqiao Fan, Yunjiao Zhou, Yizhuo Yang, and 6 more authors
    Under Review, 2025
  2. Sensys’25
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    ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Image
    Fangqiang Ding, Yunzhou Zhu, Xiangyu Wen, and 2 more authors
    In ACM Conference on Embedded Networked Sensor Systems, 2025
  3. NeurIPS’24
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    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
  4. ECCV’24
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    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
  5. CVPR’23
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    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%)