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 recently received my Ph.D. from the School of Computer Science at the University of Science and Technology of China (USTC), supervised by Professor Yanyong Zhang. In September 2026, I will join the Department of Information Engineering at The Chinese University of Hong Kong (CUHK) as a Postdoctoral Researcher, working with Professor Guoliang Xing. Before that, I received my B.E. in Computer Science and Technology from the School of the Gifted Young at USTC in 2021.

My research focuses on intelligent sensing and perception, with a particular interest in mmWave sensing. I develop sensing systems and techniques for perceiving vehicles, UAVs, and humans across diverse real-world environments, leveraging platforms ranging from on-board and roadside radars to 5G-Advanced integrated sensing and communication (ISAC) infrastructure. I have also explored acoustic sensing for robotics. My long-term goal is to advance intelligent sensing for embodied intelligence.

News

May 04, 2026 Our paper mmOVD+ has been accepted by TMC!
Feb 28, 2026 Our paper BSense has been accepted by MobiSys 2026!
Jan 16, 2026 Our paper FlowGait and FeelWave have been accepted by CHI 2026!
Oct 02, 2025 Our paper mmMUSE was accepted by UbiComp 2026!
Jul 09, 2025 Our paper GR-Fall was accepted by UbiComp 2025!

Publications

* Equal contribution

  1. TMC
    mmOVD+.png
    mmOVD+: Detecting Fully Occluded Vehicles With Millimeter-Wave Signals
    Chenming He, Chengzhen Meng, Xiaoran Fan, Dequan Wang, Lu Zhang, and 2 more authors
    IEEE Transactions on Mobile Computing (TMC), 2026
    PDF
  2. MobiSys 2026
    BSense.png
    Needle in a Haystack: Tracking UAVs from Massive Noise in Real-World 5G-A Base Station Data
    Chengzhen Meng*, Chenming He*, Yidong Jiang, Xiaoran Fan, Dequan Wang, and 3 more authors
    In Proceedings of the 24th ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys’26), 2026
    PDF
  3. CHI 2026
    FlowGait.png
    FlowGait: Enabling Robust Long-Term Gait Recognition Across Real-World Covariates with mmWave Radar
    Dequan Wang, Chenming He, Lingyu Wang, Chengzhen Meng, Xiaoran Fan, and 1 more author
    In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (ACM CHI’26), 2026
    DOI PDF
  4. CHI 2026
    FeelWave.png
    FeelWave: Enabling Emotion-Aware Voice Interaction through Noise-Robust mmWave Emotion Sensing
    Lingyu Wang, You Zuo, Dequan Wang, Chenming He, Chengzhen Meng, and 3 more authors
    In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (ACM CHI’26), 2026
    DOI PDF
  5. Ubicomp 2026
    mmMUSE.png
    mmMUSE: An mmWave-based Motion-resilient Universal Speech Enhancement System
    Lingyu Wang, Kai Wang, Dequan Wang, You Zuo, Chenming He, and 4 more authors
    In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2025
    DOI PDF
  6. Ubicomp 2025
    GR-Fall.png
    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
    DOI PDF
  7. MobiCom 2025
    Ghost.png
    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 (ACM MobiCom’25), 2025
    DOI PDF
  8. MobiCom 2024
    See.png
    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 (ACM MobiCom’24), 2024
    DOI PDF
  9. RA-L 2024
    mmPlace.png
    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