Yadong Li
First-year ECE Ph.D. Student@University of Washington, yadongli@uw.edu
I am a 1st year Ph.D. student in the Department of Electrical & Computer Engineering at the University of Washington (UW), advised by Prof. Akshay Gadre. Previously, my research journey began at the University of Science and Technology of China (USTC), working with Prof. Qibin Sun and Prof. Yan Chen.
My research focuses on Millimeter-wave Imaging and Wireless Sensing using signal processing, machine learning, and system design, including:
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developing advanced 3D high-resolution imaging systems that enable non-line-of-sight perception of the physical world through low-cost, mobile mmWave devices: IFNet (TMC’24), PSF-SAR (CommsEng’24), mmHide (TIFS’25), DREAM-PCD (TIP’24).
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designing intelligent, human-centric sensing systems that leverage wireless signals 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
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! |
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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. |