205 citations · 378 across the 14 of their papers we have counts for
14 papers
Automatic Phase Calibration for High-resolution mmWave Sensing via Ambient Radio Anchors
Ruixu Geng, Yadong Li, Dongheng Zhang +6
Millimeter-wave (mmWave) radar systems with large array have pushed radar sensing into a new era, thanks to their high angular resolution. However, our long-term experiments indica…
Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
Tianyu Zhang, Dongheng Zhang, Ruixu Geng +3
In recent years, Channel State Information (CSI), recognized for its fine-grained spatial characteristics, has attracted increasing attention in WiFi-based indoor localization. How…
A Survey of Wireless Sensing Security from a Role-Based View: Victim, Weapon, and Shield
Ruixu Geng, Jianyang Wang, Yuqin Yuan +8
Wireless sensing technology has become prevalent in healthcare, smart homes, and autonomous driving due to its non-contact operation, penetration capabilities, and cost-effectivene…
IFNet: Deep Imaging and Focusing for Handheld SAR with Millimeter-wave Signals
Yadong Li, Dongheng Zhang, Ruixu Geng +4
Recent advancements have showcased the potential of handheld millimeter-wave (mmWave) imaging, which applies synthetic aperture radar (SAR) principles in portable settings. However…
DREAM-PCD: Deep Reconstruction and Enhancement of mmWave Radar Pointcloud
Ruixu Geng, Yadong Li, Dongheng Zhang +4
Millimeter-wave (mmWave) radar pointcloud offers attractive potential for 3D sensing, thanks to its robustness in challenging conditions such as smoke and low illumination. However…
RFPose-OT: RF-Based 3D Human Pose Estimation via Optimal Transport Theory
Cong Yu, Dongheng Zhang, Zhi Wu +4
This paper introduces a novel framework, i.e., RFPose-OT, to enable the 3D human pose estimation from Radio Frequency (RF) signals. Different from existing methods that predict hum…
Multi-Person Passive WiFi Indoor Localization with Intelligent Reflecting Surface
Ganlin Zhang, Dongheng Zhang, Ying He +3
The past years have witnessed increasing research interest in achieving passive human localization with commodity WiFi devices. However, due to the fundamental limited spatial reso…
RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signals
Zhi Wu, Dongheng Zhang, Chunyang Xie +4
Human silhouette segmentation, which is originally defined in computer vision, has achieved promising results for understanding human activities. However, the physical limitation m…
Radio-Assisted Human Detection
Chengrun Qiu, Dongheng Zhang, Yang Hu +3
In this paper, we propose a radio-assisted human detection framework by incorporating radio information into the state-of-the-art detection methods, including anchor-based onestage…
RFGAN: RF-Based Human Synthesis
Cong Yu, Zhi Wu, Dongheng Zhang +3
This paper demonstrates human synthesis based on the Radio Frequency (RF) signals, which leverages the fact that RF signals can record human movements with the signal reflections o…
Contactless Electrocardiogram Monitoring with Millimeter Wave Radar
Jinbo Chen, Dongheng Zhang, Zhi Wu +3
The electrocardiogram (ECG) has always been an important biomedical test to diagnose cardiovascular diseases. Current approaches for ECG monitoring are based on body attached elect…
Interpretable Machine Learning for Materials Design
James Dean, Matthias Scheffler, Thomas A. R. Purcell +3
Fueled by the widespread adoption of Machine Learning (ML) and the high-throughput screening of materials, the data-centric approach to materials design has asserted itself as a ro…
Unsupervised Domain Adaptation for RF-based Gesture Recognition
Bin-Bin Zhang, Dongheng Zhang, Yadong Li +2
Human gesture recognition with Radio Frequency (RF) signals has attained acclaim due to the omnipresence, privacy protection, and broad coverage nature of RF signals. These gesture…
Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal
Yadong Li, Dongheng Zhang, Jinbo Chen +5
Human gesture recognition using millimeter-wave (mmWave) signals provides attractive applications including smart home and in-car interfaces. While existing works achieve promising…