Yadong Li

I am a 1st year Ph.D. student in the Department of Electrical & Computer Engineering at the University of Washington (UW). As a member of the Networking and Emerging Wireless Technologies (NEWT) Lab and under the guidance of Prof. Akshay Gadre, I am particularly interested in developing wireless technologies for autonomous systems, aimed at creating autonomous robots that operate reliably in challenging environments, as well as empowering wireless sensing with greater mobility and coverage.

Previously, my research journey began at the Intelligent Perception (IP) Lab at the University of Science and Technology of China (USTC). Under the guidance of Prof. Qibin Sun and Prof. Yan Chen, we focused on developing human-centric wireless sensing systems. Intending to enhance the sensing resolution and robustness, our work fosters innovation across diverse applications：

Computational Imaging: Phase compensation for handheld SAR imaging with physical models (Comms Eng’24) and machine learning (TMC’24).
Motion Sensing: Domain-independent human gesture sensing (TMC’22), localization (UbiComp’24), and tracking (IJCAI’24).
Mobile Health: Long-term RF cardiac monitoring (NatCommun’24) and motion-robust respiration sensing (TMC’24).

Motivated by the lack of datasets in wireless AI, we have also released several large-scale benchmarks for a variety of signals and applications, including:

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).
RF-UNIT: RF-based unconstrained indoor human tracking dataset (4,000,000 radar heatmaps from 6 rooms and 19 people).

News

Nov 20, 2024	RF-HRV has been accepted by Nature Communications.
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.
Nov 01, 2023	One paper about handheld mmWave imaging was accepted by Communications Engineering.
Sep 01, 2022	DI-Gesture was accepted by IEEE TMC. Check the released dataset here.

Selected Publications

NatCommun

Monitoring Long-term Cardiac Activity with Contactless Radio Frequency Signals

Bin-Bin Zhang, Dongheng Zhang, Yadong Li, Zhi Lu, Jinbo Chen, Haoyu Wang, Fang Zhou, Yu Pu, Yang Hu, Likun Ma, Qibin Sun, and Yan Chen

Nature Communications, 2024

Bib HTML

@article{zhang2024monitoring,
  title = {Monitoring Long-term Cardiac Activity with Contactless Radio Frequency Signals},
  author = {Zhang, Bin-Bin and Zhang, Dongheng and Li, Yadong and Lu, Zhi and Chen, Jinbo and Wang, Haoyu and Zhou, Fang and Pu, Yu and Hu, Yang and Ma, Likun and Sun, Qibin and Chen, Yan},
  journal = {Nature Communications},
  year = {2024},
}

IEEE TMC

IFNet: Deep Imaging and Focusing for Handheld SAR with Millimeter-wave Signals

Yadong Li, Dongheng Zhang, Ruixu Geng, Jincheng Wu, Yang Hu, Qibin Sun, and Yan Chen

IEEE Transactions on Mobile Computing, 2024

Bib HTML

@article{li2024ifnet,
  title = {IFNet: Deep Imaging and Focusing for Handheld SAR with Millimeter-wave Signals},
  author = {Li, Yadong and Zhang, Dongheng and Geng, Ruixu and Wu, Jincheng and Hu, Yang and Sun, Qibin and Chen, Yan},
  journal = {IEEE Transactions on Mobile Computing},
  year = {2024},
}

CommsEng

A High-resolution Handheld millimeter-wave Imaging System with Phase Error Estimation and Compensation

Yadong Li, Dongheng Zhang, Ruixu Geng, Zhi Lu, Zhi Wu, Yang Hu, Qibin Sun, and Yan Chen

Communications Engineering, 2024

Bib HTML

@article{li2024high,
  title = {A High-resolution Handheld millimeter-wave Imaging System with Phase Error Estimation and Compensation},
  author = {Li, Yadong and Zhang, Dongheng and Geng, Ruixu and Lu, Zhi and Wu, Zhi and Hu, Yang and Sun, Qibin and Chen, Yan},
  journal = {Communications Engineering},
  volume = {3},
  number = {1},
  pages = {4},
  year = {2024},
  publisher = {Nature Publishing Group UK London},
}

IEEE TIP

DREAM-PCD: Deep Reconstruction and Enhancement of mmWave Radar Pointcloud

Ruixu Geng, Yadong Li, Dongheng Zhang, Jincheng Wu, Yating Gao, Yang Hu, and Yan Chen

IEEE Transactions on Image Processing, 2024

Bib HTML

@article{geng2024dream,
  title = {DREAM-PCD: Deep Reconstruction and Enhancement of mmWave Radar Pointcloud},
  author = {Geng, Ruixu and Li, Yadong and Zhang, Dongheng and Wu, Jincheng and Gao, Yating and Hu, Yang and Chen, Yan},
  journal = {IEEE Transactions on Image Processing},
  year = {2024},
  publisher = {IEEE},
}

IEEE TMC

iSense: Enabling Radar Sensing under Mutual Device Interference

Shuai Yang, Dongheng Zhang, Yadong Li, Yang Hu, Qibin Sun, and Yan Chen

IEEE Transactions on Mobile Computing, 2024

Bib HTML

@article{yang2024isense,
  title = {iSense: Enabling Radar Sensing under Mutual Device Interference},
  author = {Yang, Shuai and Zhang, Dongheng and Li, Yadong and Hu, Yang and Sun, Qibin and Chen, Yan},
  journal = {IEEE Transactions on Mobile Computing},
  year = {2024},
  publisher = {IEEE},
}

IJCAI

Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking

Zhi Wu, Dongheng Zhang, Zixin Shang, Yuqin Yuan, Hanqin Gong, Binquan Wang, Zhi Lu, Yadong Li, Yang Hu, Qibin Sun, and Yan Chen

In International Joint Conferences on Artificial Intelligence, 2024

Bib HTML

@inproceedings{wu2024learning,
  title = {Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking},
  author = {Wu, Zhi and Zhang, Dongheng and Shang, Zixin and Yuan, Yuqin and Gong, Hanqin and Wang, Binquan and Lu, Zhi and Li, Yadong and Hu, Yang and Sun, Qibin and Chen, Yan},
  booktitle = {International Joint Conferences on Artificial Intelligence},
}

UbiComp

Rloc: Towards Robust Indoor Localization by Quantifying Uncertainty

Tianyu Zhang, Dongheng Zhang, Guanzhong Wang, Yadong Li, Yang Hu, Qibin Sun, and Yan Chen

Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies, 2024

Bib HTML

@article{zhang2024rloc,
  title = {Rloc: Towards Robust Indoor Localization by Quantifying Uncertainty},
  author = {Zhang, Tianyu and Zhang, Dongheng and Wang, Guanzhong and Li, Yadong and Hu, Yang and Sun, Qibin and Chen, Yan},
  journal = {Proceedings of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies},
  volume = {7},
  number = {4},
  pages = {1--28},
  year = {2024},
  publisher = {ACM New York, NY, USA},
}

IEEE TMC

Towards Domain-independent and Real-time Gesture Recognition using mmWave Signal

Yadong Li, Dongheng Zhang, Jinbo Chen, Jinwei Wan, Dong Zhang, Yang Hu, Qibin Sun, and Yan Chen

IEEE Transactions on Mobile Computing, 2022

Bib HTML

@article{li2022towards,
  title = {Towards Domain-independent and Real-time Gesture Recognition using mmWave Signal},
  author = {Li, Yadong and Zhang, Dongheng and Chen, Jinbo and Wan, Jinwei and Zhang, Dong and Hu, Yang and Sun, Qibin and Chen, Yan},
  journal = {IEEE Transactions on Mobile Computing},
  volume = {22},
  number = {12},
  pages = {7355--7369},
  year = {2022},
  publisher = {IEEE},
}