Chenming He(何晨铭)

University of Science and Technology of China（USTC)

hcm_1.jpg

Xinzhi Building B803

No.100 Fuxing Road,

Hefei, Anhui

Welcome to Chenming’s Homepage! 👋

I am a fourth-year Ph.D. candidate at the University of Science and Technology of China (USTC), supervised by Professor Yanyong Zhang. Before that, I received my B.E. in Computer Science and Technology from the School of the Gifted Young at USTC in 2021.

I am passionate about real-world sensing and perception, with a particular focus on mmWave radar–based vehicle sensing, including on-board perception for autonomous vehicles and roadside perception for traffic monitoring. My current research interests include millimeter-wave sensing, autonomous driving, smart city, and embodied intelligence.

News

Jul 09, 2025 Our paper GR-Fall was accpeted by UbiComp 2025! 😊 ✨
Jun 22, 2025 Our paper Ghost Points Matter was accpeted by MobiCom 2025! 😊 ✨
Jun 14, 2024 Our paper See Through Vehicles was accpeted by MobiCom 2024! 😊 ✨
Mar 05, 2024 Our paper mmPlace was accpeted by RA-L 2024! 😊 ✨

Publications

  1. Ubicomp 2025
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    GR-Fall: A Fall Detection System with Gait Recognition for Indoor Environments Using SISO mmWave Radar
    Chengzhen Meng, Chenming He, Dequan Wang, Yuxuan Xiao, Lingyu Wang, and 3 more authors
    In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2025
  2. MobiCom 2025
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    Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel
    Chenming He, Rui Xia, Chengzhen Meng, Xiaoran Fan, Dequan Wang, and 3 more authors
    In Proceedings of the 31th Annual International Conference on Mobile Computing and Networking, 2025
  3. MobiCom 2024
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    See Through Vehicles: Fully Occluded Vehicle Detection with Millimeter Wave Radar
    Chenming He, Chengzhen Meng, Chunwang He, Xiaoran Fan, Beibei Wang, and 2 more authors
    In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, Washington D.C., DC, USA, 2024
    DOI PDF
  4. RA-L 2024
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    mmPlace: Robust Place Recognition With Intermediate Frequency Signal of Low-Cost Single-Chip Millimeter Wave Radar
    Chengzhen Meng, Yifan Duan, Chenming He, Dequan Wang, Xiaoran Fan, and 1 more author
    IEEE Robotics and Automation Letters, 2024
    DOI PDF