Yadong Li
Second-year ECE Ph.D. Student@University of Washington, yadongli@uw.edu
I am a 2nd year Ph.D. student in the Department of Electrical & Computer Engineering at the University of Washington (UW). My research aims to bring ambient intelligence to everyday wireless and wearable devices through cutting-edge AI, multimodal sensing, and physics-driven modeling.
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mmWave and NLoS Imaging: developing compact, mobile imaging systems that achieve 3D, high-resolution non-line-of-sight imaging via low-cost mmWave platforms.: IFNet (TMC’24), PSF-SAR (CommsEng’24), mmHide (TIFS’25), DREAM-PCD (TIP’24).
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Wireless and Wearable Sensing: designing intelligent, human-centric sensing systems that leverage wireless and wearable sensors for health monitoring, motion tracking, and interactive applications: UltraPoser (UIST’25), RF-Mamba (ICLR’25), RF-HRV (NatureComms’24), RLoc (UbiComp’24).
Motivated by the lack of benchmarks in wireless AI, my co-authors and I have released datasets and code for diverse signals and applications, which have been accessed by researchers from over 100 institutions across 12 countries:
- IFNet: Handheld mmWave SAR imaging dataset (10400 samples from 26 objects and 200 handheld scanning trajectories).
- MCD-Gesture: Cross-domain mmWave gesture dataset (24050 instances from 25 users, 6 rooms, and 5 locations).
- H-WILD: Human-held device WiFi localization dataset (120,000 frames from 10 volunteers across 4 rooms).
- RadarEyes: Multi-modal point cloud dataset (1,000,000 frames of radar and LiDAR data from 300 rooms).
News
| Mar 30, 2026 | Start my AR/VR research internship at Futurewei Technologies. |
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| Mar 19, 2026 | TwinFocus got conditionally accepted to MobiSys’26; VRCLIP got accepted to CVPR’26; AutoCalib and SniFi got accepted to IEEE TMC. |
| Jul 25, 2025 | UltraPoser has been accepted to ACM UIST. The code and dataset will be released soon. Huge thanks to all the amazing collaborating advisors and students! |
| Dec 30, 2024 | Code for all my first-authored papers has been released! Check out my github page for more information. |
| Nov 20, 2024 | RF-HRV has been accepted by Nature Communications. Press Coverage: MIT Technology Review, China News (中国新闻网), China Science Daily (中国科学报), China National Radio News (央广网), Guangming Daily (光明日报). |
| Oct 30, 2024 | IFNet has been accepted by IEEE TMC. Code and dataset of IFNet will be available soon. |
| Sep 27, 2024 | We have released the code of DI-Gesture (TMC’22) and PSF handheld SAR imaging (CommsEng’24). |
| Jul 01, 2024 | Our released MCD-Gesture dataset has been accessed by over 60 institutions across 12 countries. |