165 citations · 710 across the 17 of their papers we have counts for
17 papers
Path to Diversity: A Primer on ISAC-izing Commodity Wi-Fi for Practical Deployments
Hongbo Wang, Xin Li, Yinghui He +5
Integrated Sensing and Communication (ISAC) has emerged as a key paradigm in next-generation wireless networks. While the ubiquity and low cost of commodity Wi-Fi make it an ideal…
ISAC-Fi: Enabling Full-fledged Monostatic Sensing over Wi-Fi Communication
Zhe Chen, Chao Hu, Tianyue Zheng +5
Whereas Wi-Fi communications have been exploited for sensing purpose for over a decade, the bistatic or multistatic nature of Wi-Fi still poses multiple challenges, hampering real-…
Gemini: Integrating Full-fledged Sensing upon Millimeter Wave Communications
Yilong Li, Zhe Chen, Jun Luo +1
Integrating millimeter wave (mmWave)technology in both communication and sensing is promising as it enables the reuse of existing spectrum and infrastructure without draining resou…
HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning
Jingzhi Hu, Zhe Chen, Tianyue Zheng +2
Positioning is an essential service for various applications and is expected to be integrated with existing communication infrastructures in 5G and 6G. Though current Wi-Fi and cel…
Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping
Jingyang Hu, Hongbo Wang, Tianyue Zheng +4
The contact-free sensing nature of Wi-Fi has been leveraged to achieve privacy breaches, yet existing attacks relying on Wi-Fi CSI (channel state information) demand hacking Wi-Fi…
MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption
Jun Luo, Hangcheng Cao, Hongbo Jiang +2
Wi-Fi signals may help realize low-cost and non-invasive human sensing, yet it can also be exploited by eavesdroppers to capture private information. Very few studies rise to handl…
MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation
Jingzhi Hu, Tianyue Zheng, Zhe Chen +2
Having been studied for more than a decade, Wi-Fi human sensing still faces a major challenge in the presence of multiple persons, simply because the limited bandwidth of Wi-Fi fai…
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
Shujie Zhang, Tianyue Zheng, Zhe Chen +4
Hand Pose Estimation (HPE) is crucial to many applications, but conventional cameras-based CM-HPE methods are completely subject to Line-of-Sight (LoS), as cameras cannot capture o…
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving
Tianyue Zheng, Ang Li, Zhe Chen +2
Object detection with on-board sensors (e.g., lidar, radar, and camera) play a crucial role in autonomous driving (AD), and these sensors complement each other in modalities. While…
Multi-band Reconfigurable Holographic Surface Based ISAC Systems: Design and Optimization
Jingzhi Hu, Zhe Chen, Jun Luo
Metamaterial-based reconfigurable holographic surfaces (RHSs) have been proposed as novel cost-efficient antenna arrays, which are promising for improving the positioning and commu…
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Tianyue Zheng, Zhe Chen, Shuya Ding +2
Whereas adversarial training can be useful against specific adversarial perturbations, they have also proven ineffective in generalizing towards attacks deviating from those used f…
MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar
Tianyue Zheng, Zhe Chen, Shujie Zhang +2
Crucial for healthcare and biomedical applications, respiration monitoring often employs wearable sensors in practice, causing inconvenience due to their direct contact with human…
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition
Shuya Ding, Zhe Chen, Tianyue Zheng +1
Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a promising solution for many applications. However, device-free (or contactless) sensing is often…
Enhancing RF Sensing with Deep Learning: A Layered Approach
Tianyue Zheng, Zhe Chen, Shuya Ding +1
In recent years, radio frequency (RF) sensing has gained increasing popularity due to its pervasiveness, low cost, non-intrusiveness, and privacy preservation. However, realizing t…
V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing
Tianyue Zheng, Zhe Chen, Chao Cai +2
Given the significant amount of time people spend in vehicles, health issues under driving condition have become a major concern. Such issues may vary from fatigue, asthma, stroke,…
RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network
Zhe Chen, Chao Cai, Tianyue Zheng +3
Human Activity Recognition (HAR) plays a critical role in a wide range of real-world applications, and it is traditionally achieved via wearable sensing. Recently, to avoid the bur…
SiWa: See into Walls via Deep UWB Radar
Tianyue Zheng, Zhe Chen, Jun Luo +3
Being able to see into walls is crucial for diagnostics of building health; it enables inspections of wall structure without undermining the structural integrity. However, existing…