most citedRF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition

165 citations · 516 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2021165 cited

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…

eess.SP202164 cited

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…

eess.SP2021136 cited

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,…

cs.NI2021105 cited

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…

eess.SP202146 cited

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…