Chenshu Wu | 吳陳沭
HKU AIoT (Artificial Intelligence of Things) Lab
Assistant Professor, Department of Computer Science
Assistant Director, School of Computing and Data Science
The University of Hong Kong
Consultant, Origin AI
Office: 315B, Chow Yei Ching Building
Email: chenshu [at] cs [dot] hku [dot] hk
News
- I am actively looking for highly self-motivated PhD students to work on AIoT systems, with potential HKPF and HKU-PS scholarships. If you are interested, please drop me an email. Multiple PhD, postdoc, and RA positions are available. Check out more details here: Prospective Students
- Are you still using Wi-Fi for the Internet only? You are missing a lot! Check out our recent article "Wi-Fi Can Do More: Towards Ubiquitous Wireless Sensing" on IEEE Communications Standards Magazine!
- Check out HKU AIoT Lab website for more updates!
- 2024/10, awarded the 2024 NAM Healthy Longevity Catalyst Awards (Hong Kong)!
- 2024/10, invited to serve on the TPC of ACM MobiSys 2025 in California.
- 2024/10, invited to serve on the TPC of IEEE DySPAN 2025 in London.
- 2024/09, invited to serve on the TPC of IEEE ICDCS 2025 (IoT and CPS track), Glasgow, Scotland.
- 2024/08, delivered my first ever lecture for middle/high school students through the HKU AI Academy for the Talented program!
- 2024/08, Co-Chairing The 1st International Workshop on RF Computing (RFCOM, co-located with SenSys), Hangzhou, China, 2024.
- 2024/06, our research on statistical acoustic sensing was funded by RGC/GRF!
- 2024/06, invited to serve as an Associate Editor for ACM Transactions on Internet of Things.
- 2024/04, co-chairing the TPC of IEEE ICPADS 2024 in Belgrade, Serbia (the first time in Europe!). Please consider submitting!
- 2024/04, invited to serve on the TPC of IEEE WoWMoM 2024 - PhD Forum in Perth, Western Australia.
- 2024/03, invited to serve on the TPC of ACM SenSys 2024 in Hangzhou.
- 2024/02, invited to serve on the editorial board as an Associate Editor of ACM IMWUT.
- 2024/01, our research on “Sensing in 6G Cellular Networks” (PC: Dr. Liang Liu from PolyU) was funded by RGC Young Collaborative Research Fund (YCRF)!
- 2023/12, invited to serve on the TPC of IEEE ICDCS 2024 in New Jersey.
- 2023/11, one paper (RF-Diffusion) accepted by ACM MobiCom'24!
- 2023/11, our short course proposal on wireless sensing was accepted to ICASSP 2024!
- 2023/10, invited to serve on the TPC of IEEE IPSN 2024 in Hong Kong.
- 2023/10, featured in the World’s Top 2% Scientists 2023 published by Stanford University!
- 2023/09, invited to serve on the TPC of EAI MobiQuitous 2023 in Melbourne.
- 2023/08, I'm serving as the Social Media Chair of CPS-IoT Week 2024 in Hong Kong.
- 2023/07, invited to serve on the TPC of IEEE DySPAN 2024 in Washington DC.
- 2023/07, one paper accepted by ACM IMWUT!
- 2022/07, recognized as one of the HKU Scholars ranked by Clarivate Analytics in the top 1% worldwide in 2023!
- 2023/06, I gave a Tutorial "Physiological sensing in the dark and through occlusion via RF signals" as part of the ICASSP 2023 Tutorial titled "No Touch Needed: Contact-Free Physiological Sensing for Fitness and Healthcare Using Cameras and RF Signals".
- 2023/03, I'm serving as the Publicity Co-Chair of ACM SenSys 2023. SenSys 2023 will be held in Istanbul, Turkey, on November 13-15, 2023. The paper submission deadline is firm on June 29, 2023. Please consider submitting!
- 2023/03, invited to serve on the TPC of ACM SenSys 2023.
- 2022/12, featured in the World’s Top 2% Scientists 2022 published by Stanford University!
- 2022/12, two papers accepted by NSDI'23!
- 2022/09, awarded the Healthy Longevity Catalyst Awards (Hong Kong) (part of the Healthy Longevity Global Competition founded by the U.S. National Academy of Medicine)!
- 2022/08, awarded the NSFC National Excellent Young Scientists Fund (HK&Macau) 2022!
- 2022/07, recognized as one of the HKU Scholars ranked by Clarivate Analytics in the top 1% worldwide in 2022!
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:- + Our sleep monitoring work has been commercialized by Origin Wireless as Origin Health - Remote Patient Monitoring, which won the CES 2021 Best of Innovation Award!
- + Our works on wireless indoor tracking, gait recognition, fall detection are being commercialized by Origin Wireless Inc. Stay tuned!
- + Authored 60+ US/international patents and 20+ China patents.
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
-
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] -
Wireless Indoor Localization: A Crowdsourcing Approach
Chenshu Wu, Zheng Yang, Yunhao Liu
Springer, 2018. ISBN: 978-981-13-0355-5.
[Book Flyer] [Read Online] -
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
- [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 - [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 - [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 - [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 - [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 - [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 - [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.
- [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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
- [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [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
- 2024, Healthy Longevity Catalyst Awards (Hong Kong), National Academy of Medicine (NAM)
- 2022, 2023, 2024, The World's Top 2% Scientists List by Stanford University
- 2022, 2023, 2024, Top 1% Scholar Worldwide by Citations, Clarivate Analytics Essential Science Indicators (ESI)
- 2022, NSFC National Excellent Young Scientists Fund (HK&Macau) (國家優秀青年科學家基金項目(港澳))
- 2022, Healthy Longevity Catalyst Awards (Hong Kong), National Academy of Medicine (NAM)
- 2022, Best Paper Award, ACM IASA 2022
- 2021, Best Student Paper Award, IEEE WF-IoT 2021
- 2019, Postdoc Research Symposium Winner (#1 in Engineering School), University of Maryland
- 2017, Best Paper Honorable Mention Award, ACM CHI 2017
- 2017, Best Paper Award of the Year 2016, Tsinghua Science and Technology
- 2016, China Computer Federation (CCF) Excellent Doctoral Dissertation Award (中国计算机学会优秀博士学位论文奖)
- 2015, The Committee of 100's Leadership Scholarship Program Award
- 2015, Excellent PhD Graduate of Beijing
- 2015, Excellent PhD Graduate of Tsinghua University
- 2015, Excellent Doctoral Dissertation, Tsinghua University (rank 1st in Dept. of CS)
- 2015, Academic Rising Star of Tsinghua University (清华大学学术新秀) (10 graduates per year)
- 2014, Tsinghua Top Grade Scholarship (清华大学特等奖学金) (10 graduates per year)
- 2014, Best Paper Candidate Award, IEEE ICPADS 2014
- 2012, 2013, 2014, National Graduate Scholarship
- 2013, Tsinghua Lin Feng Counsellor Prize (清华大学林枫辅导员奖)
Professional Services
-
Editorship
- - Associate Editor, PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024 - now
- - Associate Editor, ACM Transactions on Internet of Things, 2024 - now
- - Associate Editor, IEEE ACCESS, 2020 - 2024
- - Guest Editor, Special Issue on “Resource Management at the Edge for Future Web, Mobile and IoT Applications”, World Wide Web Journal, 2021
- - Guest Editor, Special Issue on "Cloud Computing-based Big Data Processing and Intelligent Analytics", Concurrency and Computation: Practice and Experience, November 2019. Conference and Workshop Organizer for
- - TPC Co-Chair, IEEE ICPADS 2024, Belgrade, Serbia
- - Co-Chair, The 1st International Workshop on RF Computing (Co-located with SenSys), Hangzhou, China, 2024
- - Local Arrangement Chair, TAAC FFSE (The 4th Forum on Frontiers of Science and Engineering) 2024, Hong Kong
- - Social Media Chair, IEEE CPS-IoT Week 2024, Hong Kong
- - Publicity Co-Chair, ACM SenSys 2023, Istanbul, Turkiye
- - Co-Organizer, Wireless AI Perception Workshop at CVPR 2022
- - General Co-Chair, ACM Ubicomp Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD), 2021
- - Publicity Co-Chair, ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), 2021
- - Special Session Organizer on “Contactless and Wireless Sensing for Smart Environments”, IEEE ICASSP, 2021 Technical Program Committee Member for
- - 2025: ACM MobiSys, IEEE IDCDS
- - 2024: ACM SenSys, IEEE ICDCS, ACM/IEEE IPSN, CSCAIoTSys@CPS-IoT Week, IEEE WoWMoM - PhD Forum, IEEE MSN
- - 2023: ACM SenSys, IEEE DySPAN, IEEE MSN, EAI MobiQuitous
- - 2022: ACM SenSys, ACM/IEEE IoTDI, IEEE ICPADS, EAI MobiQuitous, IEEE ICCCN
- - 2021: IEEE DySPAN, UbiSec
- - 2020: IEEE TrustCom, IEEE MIPR
- - 2019: IEEE DySPAN, IEEE ICPADS, IEEE MIPR
- - 2018: IEEE UIC, IEEE ICCCN
- - 2017: IEEE INFOCOM, IEEE ICDCS, IEEE UIC
- - 2016: IEEE UIC Journal Reviewers for
- 1) IEEE/ACM Transactions on Networking (TON); 2) IEEE Transactions on Mobile Computing (TMC); 3) PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp); 4) IEEE Transactions on Parallel and Distributed Systems (TPDS); 5) IEEE Journal on Selected Areas in Communications (JSAC); 6) IEEE Transactions on Wireless Communications (TWC); 7) IEEE Transactions on Signal Processing (TSP); 8) ACM Transactions on Sensor Networks (TOSN); 9) ACM Transactions on Intelligent Systems and Technology (TIST); 10) IEEE Transactions on Vehicular Technology (TVT); 11) IEEE Internet of Things Journal (IOTJ); 12) IEEE Journal of Biomedical and Health Informatics (JBHI); 13) IEEE Transactions on Industrial Electronics (TIE); 14) IEEE Transactions on Automation Science and Engineering (TASE); 15) IEEE Transactions on Network Science and Engineering (TNSE); 16) IEEE Systems Journal; 17) IEEE Computer Magazine; 18) IEEE Communications Letters; 19) IEEE Access; 20) Elsevier Computer Networks; 21) Elsevier Computer Communications; 22) Wireless Communications and Mobile Computing; 23) Springer Journal of Computer Science and Technology (JCST); 24) ACM Transactions on Internet of Things (TIoT).
Grants
- PI: "Development of a Practical Elderly Fall Detection Solution via Non-Intrusive, Low-Cost Sensing", RGC Healthy Longevity Catalyst Awards (Hong Kong), 2024-2025.
- PI: "Statistical Acoustic Sensing: Theories, Techniques, and Applications", RGC General Research Fund (GRF), 2024-2026.
- Co-PI: "Sensing in 6G Cellular Networks", RGC CRF Young Collaborative Research Grant (YCRG), 2024-2026.
- PI: "Smart Wireless Sensing and Tracking", Excellent Young Scientists Fund (HK & Macau), National Natural Science Foundation of China, 2023 - 2025.
- PI: "A Signal Processing-Deep Learning Co-Design for Practical Deep Wireless Sensing", RGC Early Career Scheme (ECS), 2022 - 2025.
- 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.
- PI: "Cross-Modality Contactless Sensing for Multi-Target Interaction and Healthcare", General Funding Scheme, TCL Research, 2022 - 2024
- Co-PI: "Edge Learning: the Enabling Technology for Distributed Big Data Analytics in Cloud-Edge Environment'', RGC Research Impact Fund (RIF), 2020-2025.
- PI: Wireless Contactless Sensing for Industrial Internet, NSF China General Program (国家自然科学基金面上项目).
- 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).
- 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).
- 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
- "Wireless AI for the Internet of Things'', HKU-ISCAS 2021 Launching Seminar and Workshop, 2021/09 (virtual)
- "Wireless AI: WiFi Sensing from Principles to Products'', Beijing University of Posts and Telecommunications, 2021/08 (virtual)
- "Artificial Intelligence of Things (AIoT) From 0 To 1'', Keynote Speech at Shenzhen XInstitute summer school, 2021/07 (virtual)
- "Wireless AI: WiFi Sensing from Principles to Products'', IEEE Washington Tech Talk Series, 2021/04 (virtual)
- "Wireless AI: WiFi Sensing from Principles to Products'', Beijing University of Posts and Telecommunications, 2021/04 (virtual)
- "Wireless AI: WiFi Sensing from Principles to Products'', Tsinghua University, 2021/04 (virtual)
- "Wireless AI for the Internet of Things'', IEEE Signal Processing Washington Chapter Seminar, 2020/12 (virtual)
- "Large-Scale Decimeter-Level Indoor Tracking with a Single AP'', West Anhui University, Lu'an, China, 2020/12 (virtual)
- "Precise Passive Tracking with COTS WiFi", The George Washington University, DC, USA, May 23, 2018
- "WiFi Radar: Wireless Sensing with Commodity WiFi", University of Maryland, College Park, MD, USA, October 31, 2017
- "Sensorless Sensing with WiFi", Nanjing University, Nanjing, China, December 28, 2016
- “Sensorless Sensing Plus”, Wuxi IoT Center, China, December 2016
- “Wireless, Contactless, Sensorless Sensing”, Yanshan University, Qinhuangdao, China, December 2015
- “Wireless, Contactless, Sensorless Sensing”, Wuxi IoT Center, China, December 2015
- “Wireless Indoor Localization via Crowdsourcing”, West Anhui University, Lu’an, China, October 2015
- “Re-imaging Mobile Sensing: Myths, Challenges, and Opportunities”, Wuxi IoT Center, China, December 2014
- “Wireless Indoor Localization for Smartphones”, The Hong Kong Polytechnic University, Hong Kong, China, August 2013
Teaching
- COMP3230 Principles of Operating Systems (Undergraduate Core), 2021 Fall, 2022 Fall, 2023 Fall, 2024 Fall
- COMP3516 Data Analytics for IoT (Undergraduate Elective), 2023 Spring, 2024 Spring, 2025 Spring
- COMP7310 Artificial Intelligence of Things (MSc course), 2022 Fall, 2023 Fall, 2025 Spring
- COMP3423 Eureka Research Course (Engineering), Spring 2024