155 citations · 212 across the 11 of their papers we have counts for
7 papers · 1 filter
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
Lang Deng, Jianfei Yang, Shenghai Yuan +3
As an important biomarker for human identification, human gait can be collected at a distance by passive sensors without subject cooperation, which plays an essential role in crime…
MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation
Jianfei Yang, Yunjiao Zhou, He Huang +2
Avatar refers to a representative of a physical user in the virtual world that can engage in different activities and interact with other objects in metaverse. Simulating the avata…
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
Jianfei Yang, Xinyan Chen, Dazhuo Wang +4
WiFi sensing has been evolving rapidly in recent years. Empowered by propagation models and deep learning methods, many challenging applications are realized such as WiFi-based hum…
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning
Jianfei Yang, Xinyan Chen, Han Zou +2
WiFi sensing technology has shown superiority in smart homes among various sensors for its cost-effective and privacy-preserving merits. It is empowered by Channel State Informatio…
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression
Jianfei Yang, Xinyan Chen, Han Zou +3
WiFi technology has been applied to various places due to the increasing requirement of high-speed Internet access. Recently, besides network services, WiFi sensing is appealing in…
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition
Jianfei Yang, Han Zou, Lihua Xie
Deep neural networks have empowered accurate device-free human activity recognition, which has wide applications. Deep models can extract robust features from various sensors and g…
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
Changwei Xu, Jianfei Yang, Haoran Tang +3
Unsupervised Domain Adaptation (UDA), a branch of transfer learning where labels for target samples are unavailable, has been widely researched and developed in recent years with t…