165 citations · 445 across the 14 of their papers we have counts for
14 papers
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…
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…
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
Guanlin Li, Shuya Ding, Jun Luo +1
Whereas adversarial training is employed as the main defence strategy against specific adversarial samples, it has limited generalization capability and incurs excessive time compl…
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)
Jiangtian Nie, Jun Luo, Zehui Xiong +2
Mobile crowdsensing has shown a great potential to address large-scale data sensing problems by allocating sensing tasks to pervasive mobile users. The mobile users will participat…
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
Jiangtian Nie, Zehui Xiong, Dusit Niyato +2
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsens…