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About Me

I'm currently an Assistant Professor in the Department of Computer Science, The University of Hong Kong, where I lead the AIoT Lab. I served as the Chief Scientist and am now a consultant of Origin AI, a startup commercializing wireless sensing technologies and winning prestigious awards including the CES Best of Innovation Award. I was an Assistant Research Scientist in the Department of Electrical and Computer Engineering, University of Maryland, College Park and the Chief Scientist at Origin Wireless, working with Prof. K. J. Ray Liu, after working as a research associate in the Department of Computer Science, Princeton University and the School of Software, Tsinghua University. I received my Ph.D. degree in the Department of Computer Science and Technology, Tsinghua University, under supervision of Prof. Yunhao Liu. During my Ph.D., I was lucky to work with Prof. Mingyan Liu in the Department of EECS, University of Michigan and Prof. Jiannong Cao in the Department of Computing, HKPU. I received my B.E. degree from the School of Software, Tsinghua University.

Research Interests

Can machines sense without sensors? Can they "see" without cameras, in the dark, and through the walls? My research is driven by the vision of shaping "Wireless AI Perception" to advance machine intelligence beyond traditional vision. We focus on pioneering sensing AI technologies that transform "Homecare" to "Home Cares" and bring healthcare from "Benchside" to "Bedside". The field of wireless sensing has experienced tremendous growth in the past 15 years, and I'm fortunate to have my research in this area translated into award-winning products that are deployed in millions of devices worldwide. Currently, my lab is dedicated to designing cutting-edge sensing solutions as well as building commercialized applications for a smarter, more connected life. Our current research interests include:

  • Sensing AI for Homecare, Healthcare, Eldercare
  • Localization for Mobiles, Robots, Drones
  • AI for Healthcare
  • Automotive In-Cabin Sensing

Research Projects

Highlights on Industrial Impacts: Checkout more research projects HERE, and RIM, EasiTrack, Widar, ChromaCode.

Selected Publications

For a complete list, see HERE or my Google Scholar Profile. According to Google Scholar, my papers have more than 5,400 citations, with an h-index of 32.

Books

  1. Book Cover
    Smart Wireless Sensing: From IoT to AIoT
    Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang
    Springer, 2021. ISBN: 978-981-16-5658-3.

    [Front Matter] [Read Online]
  2. Book Cover
    Wireless Indoor Localization: A Crowdsourcing Approach
    Chenshu Wu, Zheng Yang, Yunhao Liu
    Springer, 2018. ISBN: 978-981-13-0355-5.

    [Book Flyer] [Read Online]
  3. Book Cover
    Location-based Computing: Localization and Localizability of Wireless Networks (位置计算:无线网络定位与可定位性)
    Zheng Yang, Chenshu Wu, Yunhao Liu
    Tsinghua University Press, Jan. 2014. ISBN: 978-7-302-35113-9

    Excellent Academic Monograph (Second Class) of Chinese University Press Book Award (获第四届中国大学出版社图书奖优秀学术著作二等奖)

Selected Conferences

  1. [ACM MobiHoc'24] TADAR: Thermal Array-based Detection and Ranging for Privacy-Preserving Human Sensing
    Xie Zhang, Chenshu Wu
    Proceedings of the 25th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Athens, Greece, 14-17 October 2024.
    Demo
  2. [ACM UbiComp'24] RFBoost: Understanding and Boosting Deep WiFi Sensing via Physical Data Augmentation
    Weiying Hou, Chenshu Wu
    PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Melbourne, Australia, 5-9 October 2024.
    PDF
  3. [ACM MobiCom'24] RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
    Guoxuan Chi, Zheng Yang, Chenshu Wu, Jingao Xu, Yuchong Gao, Yunhao Liu, Tony Xiao Han
    ACM International Conference on Mobile Computing and Networking, Nov. 18-22, 2024, Washington, D.C., USA.
    PDF
  4. [USENIX NSDI'23] VeCare: Statistical Acoustic Sensing for Automotive In- Cabin Monitoring
    Yi Zhang, Weiying Hou, Zheng Yang, Chenshu Wu
    USENIX Symposium on Networked Systems Design and Implementation, Boston, MA, April 17–19, 2023.
    PDF
  5. [USENIX NSDI'23] SLNet: A Spectrogram Learning Neural Network for Wireless Sensing
    Zheng Yang, Yi Zhang, Kun Qian, Chenshu Wu
    USENIX Symposium on Networked Systems Design and Implementation, Boston, MA, April 17–19, 2023.
    PDF
  6. [ACM MobiSys'22] Wi-Drone: Wi-Fi-based 6-DoF Tracking for Indoor Drone Flight Control
    Guoxuan Chi, Zheng Yang, Jingao Xu, Chenshu Wu, Jialin Zhang, Jianzhe Liang, Yunhao Liu
    ACM International Conference on Mobile Systems, Applications, and Services, Portland, OR, USA, June 25–July 1, 2022.
    PDF Website
  7. [USENIX NSDI'21] AirCode: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel
    Kun Qian, Yumeng Lu, Zheng Yang, Kai Zhang, Kehong Huang, Xinjun Cai, Chenshu Wu, Yunhao Liu
    USENIX Symposium on Networked Systems Design and Implementation, Virtual, April 12–14, 2021.
  8. [ACM UbiComp'20] mSense: Towards Mobile Material Sensing with a Single Millimeter-Wave Radio
    Chenshu Wu, Feng Zhang, Beibei Wang, K. J. Ray Liu
    PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Virtual Online, Sep 12 - Sep 16, 2020.
    PDF
  9. [IEEE INFOCOM'20] mmTrack: Passive Multi-Person Localization Using Commodity Millimeter Wave Radio
    Chenshu Wu, Feng Zhang, Beibei Wang, K. J. Ray Liu
    IEEE International Conference on Computer Communications, Beijing, China, April 27-30, 2020.
    PDF
  10. [ACM SIGCOMM'19] RF-based Inertial Measurement
    Chenshu Wu, Feng Zhang, Yusen Fan, K. J. Ray Liu
    ACM SIGCOMM, Beijing, China, August 19-24, 2019.
    PDF Slides Demo Website
  11. [ACM UbiComp'19] WiDetect: Robust Motion Detection with a Statistical Electromagnetic Model
    Feng Zhang, Chenshu Wu, Beibei Wang, Hung-Quoc Lai, Yi Han, K. J. Ray Liu
    PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, London, UK, Sep 09 - Sep 13, 2019.
    PDF
  12. [ACM MobiSys'19] Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi
    Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang
    ACM International Conference on Mobile Systems, Applications, and Services, Seoul, Korea, 18th - 20th June, 2019.
    PDF Website
  13. [ACM MobiCom'18] ChromaCode: A Fully Imperceptible Screen-Camera Communication System
    Kai Zhang*, Chenshu Wu*, Chaofan Yang, Yi Zhao, Kehong Huang, Chunyi Peng, Yunhao Liu, and Zheng Yang
    ACM International Conference on Mobile Computing and Networking, New Delhi, India, Oct 29-Nov 2, 2018.
    *: co-primary authors
    PDF Demo Website
  14. [ACM MobiSys'18] Widar2.0: Passive Human Tracking with a Single Wi-Fi Link
    Kun Qian, Chenshu Wu, Yi Zhang, Guidong Zhang, Zheng Yang, Yunhao Liu
    ACM International Conference on Mobile Systems, Applications, and Services, Munich, Germany, June 10-15, 2018.
    PDF Slides Demo Code
  15. [ACM UbiComp'17] Gain Without Pain: Accurate WiFi-based Localization with Fingerprint Spatial Gradient
    Chenshu Wu, Jingao Xu, Zheng Yang, Nicholas D. Lane, Zuwei Yin
    PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.1, no.2, pp.29:1-29:19, 2017, Maui, USA, Sep 11 - Sep 15, 2017.
    PDF
  16. [ACM MobiHoc'17] Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi
    Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, Kyle Jamieson
    ACM MobiHoc, Chennai, India, July 10-14, 2017.
    PDF Slides Demo
  17. [ACM CHI'17] Inferring Motion Direction using Commodity Wi-Fi for Interactive Exergames
    Kun Qian, Chenshu Wu, Zimu Zhou, Yue Zheng, Zheng Yang, Yunhao Liu
    ACM CHI, Denver, USA, May 6-11, 2017.
    Best Paper Honorable Mention Award
    PDF Slides Demo
  18. [IEEE ICPADS'14] PADS: Passive Detection of Moving Targets with Dynamic Speed using PHY Layer Information
    Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, Zimu Zhou
    IEEE International Conference on Parallel and Distributed Systems, Hsinchu, Taiwan, December 16 - 19, 2014.
    Best Paper Candidate, 4 out of 320+
    PDF Slides Demo
  19. [ACM MobiCom'12] Locating in Fingerprint Space: Wireless Indoor Localization with Little Human Intervention
    Zheng Yang, Chenshu Wu, Yunhao Liu
    ACM International Conference on Mobile Computing and Networking, Istanbul, Turkey, August 22-26, 2012.
    PDF Slides

Selected Journals

  1. [IEEE/ACM TASLP] RadioSES: mmWave-Based Audioradio Speech Enhancement and Separation System
    Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, Min Wu, KJ Ray Liu
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1333-1347, 2023.
    PDF
  2. [IEEE IoTJ] RadioMic: Sound Sensing via Radio Signals
    Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, K. J. Ray Liu
    IEEE Internet of Things Journal, 10(5): 4431-4448, 2023.
    PDF
  3. [IEEE COMSTD] Wi-Fi Can Do More: Towards Ubiquitous Wireless Sensing
    Chenshu Wu, Beibei Wang, Oscar C. Au, K. J. Ray Liu
    IEEE Communications Standards Magazine, vol. 6, no. 2, pp. 42-49, June 2022.
    Invited Article, Special Issue on Recent and Future Evolution of Wi-Fi
    PDF
  4. [IEEE IOTJ] mmEye: Super-Resolution Millimeter Wave Imaging
    Feng Zhang, Chenshu Wu, Beibei Wang, and K. J. Ray Liu
    IEEE Internet of Things Journal, vol. 8, no. 8, pp. 6995-7008, April 15, 2021.
    PDF
  5. [IEEE TMC] GaitWay: Monitoring and Recognizing Gait Speed Through the Walls
    Chenshu Wu, Feng Zhang, Yuqian Hu, and K. J. Ray Liu
    IEEE Transactions on Mobile Computing, vol. 20, no. 6, pp. 2186-2199, 1 June 2021.
    PDF
  6. [IEEE IOTJ] EasiTrack: Decimeter-Level Indoor Tracking with Graph-based Particle Filtering
    Chenshu Wu, Feng Zhang, Beibei Wang, and K. J. Ray Liu
    IEEE Internet of Things Journal, vol. 7, no. 3, pp. 2397-2411, March 2020.
    PDF
  7. [IEEE TMC] SMARS: Sleep Monitoring via Ambient Radio Signal
    Feng Zhang, Chenshu Wu, Beibei Wang, Min Wu, Daniel Bugos, Hangfang Zhang, and K. J. Ray Liu
    IEEE Transactions on Mobile Computing, vol. 20, no. 1, pp. 217-231, 1 Jan. 2021.
    ESI highly cited paper
    PDF
  8. [IEEE TMC] Automatic Radio Map Adaptation for Indoor Localization using Smartphones
    Chenshu Wu, Zheng Yang, Chaowei Xiao
    IEEE Transactions on Mobile Computing, vol. 17, no. 3, pp. 517-528, March 1 2018.
    PDF
  9. [IEEE JSAC] Non-invasive Detection of Moving and Stationary Human with WiFi
    Chenshu Wu, Zheng Yang, Zimu Zhou, Xuefeng Liu, Yunhao Liu, Jiannong Cao
    IEEE Journal on Selected Areas in Communications, vol.33, no.11, pp.1-14, Nov. 2015.
    PDF
  10. [ACM CSUR] Mobility Increases Localizability: A Survey on Wireless Indoor Localization using Inertial Sensors
    Zheng Yang, Chenshu Wu, Zimu Zhou, Xinglin Zhang, Xu Wang, Yunhao Liu
    ACM Computing Surveys, vol.47, no.3, pp.54:1-54:34, Apr. 2015.
    PDF
  11. [IEEE TMC] Smartphones based Crowdsourcing for Indoor Localization
    Chenshu Wu, Zheng Yang, Yunhao Liu
    IEEE Transactions on Mobile Computing, vol.14, no.2, pp.444-457, Feb. 2015.
    ESI highly cited paper. Appearing 10+ times among the monthly top 10 most cited/popular papers of TMC since published
    PDF

Honors and Awards

Professional Services

Grants

  1. PI: "Development of a Practical Elderly Fall Detection Solution via Non-Intrusive, Low-Cost Sensing", RGC Healthy Longevity Catalyst Awards (Hong Kong), 2024-2025.
  2. PI: "Statistical Acoustic Sensing: Theories, Techniques, and Applications", RGC General Research Fund (GRF), 2024-2026.
  3. Co-PI: "Sensing in 6G Cellular Networks", RGC CRF Young Collaborative Research Grant (YCRG), 2024-2026.
  4. PI: "Smart Wireless Sensing and Tracking", Excellent Young Scientists Fund (HK & Macau), National Natural Science Foundation of China, 2023 - 2025.
  5. PI: "A Signal Processing-Deep Learning Co-Design for Practical Deep Wireless Sensing", RGC Early Career Scheme (ECS), 2022 - 2025.
  6. PI: "Empowering Acoustic Sensing and Learning on Accessible Speakers to Monitor and Detect Older Adult Falls'', RGC Healthy Longevity Catalyst Awards (Hong Kong), 2022-2023.
  7. PI: "Cross-Modality Contactless Sensing for Multi-Target Interaction and Healthcare", General Funding Scheme, TCL Research, 2022 - 2024
  8. Co-PI: "Edge Learning: the Enabling Technology for Distributed Big Data Analytics in Cloud-Edge Environment'', RGC Research Impact Fund (RIF), 2020-2025.
  9. PI: Wireless Contactless Sensing for Industrial Internet, NSF China General Program (国家自然科学基金面上项目).
  10. Co-PI: Research on the Architecture and Key Technologies for Industrial Internet, NSF China Key Program(国家自然科学基金重点项目).
  11. PI: Research on Sensorless Sensing with Wireless Signals, China Postdoctoral Science Foundation (中国博士后科学基金面上资助).
  12. PI: Decimeter-Level Tracking using WiFi Signals, China Postdoctoral Science Foundation Special Program (中国博士后科学基金特别资助).

Invited Talks

  1. "Wireless AI for the Internet of Things'', HKU-ISCAS 2021 Launching Seminar and Workshop, 2021/09 (virtual)
  2. "Wireless AI: WiFi Sensing from Principles to Products'', Beijing University of Posts and Telecommunications, 2021/08 (virtual)
  3. "Artificial Intelligence of Things (AIoT) From 0 To 1'', Keynote Speech at Shenzhen XInstitute summer school, 2021/07 (virtual)
  4. "Wireless AI: WiFi Sensing from Principles to Products'', IEEE Washington Tech Talk Series, 2021/04 (virtual)
  5. "Wireless AI: WiFi Sensing from Principles to Products'', Beijing University of Posts and Telecommunications, 2021/04 (virtual)
  6. "Wireless AI: WiFi Sensing from Principles to Products'', Tsinghua University, 2021/04 (virtual)
  7. "Wireless AI for the Internet of Things'', IEEE Signal Processing Washington Chapter Seminar, 2020/12 (virtual)
  8. "Large-Scale Decimeter-Level Indoor Tracking with a Single AP'', West Anhui University, Lu'an, China, 2020/12 (virtual)
  9. "Precise Passive Tracking with COTS WiFi", The George Washington University, DC, USA, May 23, 2018
  10. "WiFi Radar: Wireless Sensing with Commodity WiFi", University of Maryland, College Park, MD, USA, October 31, 2017
  11. "Sensorless Sensing with WiFi", Nanjing University, Nanjing, China, December 28, 2016
  12. “Sensorless Sensing Plus”, Wuxi IoT Center, China, December 2016
  13. “Wireless, Contactless, Sensorless Sensing”, Yanshan University, Qinhuangdao, China, December 2015
  14. “Wireless, Contactless, Sensorless Sensing”, Wuxi IoT Center, China, December 2015
  15. “Wireless Indoor Localization via Crowdsourcing”, West Anhui University, Lu’an, China, October 2015
  16. “Re-imaging Mobile Sensing: Myths, Challenges, and Opportunities”, Wuxi IoT Center, China, December 2014
  17. “Wireless Indoor Localization for Smartphones”, The Hong Kong Polytechnic University, Hong Kong, China, August 2013

Teaching

Useful Links