activity
20202026
most citedHuman Action Recognition from Various Data Modalities: A Review

599 citations · 609 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Penetrating the Reality Wall: Long-Range and Through-Wall AR/VR Privacy Eavesdropping via Wireless Power Side Channel

Tao Ni, Zehua Sun, Yihe Zhou +3

Over the past decade, Metaverse technology (AR/VR) has seen widespread adoption in numerous areas, including gaming, social networking, and online collaboration. Although recent st…

cs.NI2026

Revisiting-Aware In-Orbit Edge Computing for Earth Observation

Zehua Sun, Tao Ni, Kaiyan Cui +2

Typically, Earth observation satellites follow a rule of revisiting cycle to periodically pass over the same area of the Earth at regular intervals, which is jointly determined by…

cs.CR2026

When VR Meets BCI: (Un)Observable Brainwave-aware Privacy Reconstruction in the Metaverse via Unrestricted Inbuilt Motion Sensors

Tao Ni, Zehua Sun, Qingchuan Zhao +2

Metaverse devices, such as virtual reality (VR), have seen substantial development and widespread applications in numerous areas. Although recent studies have revealed privacy leak…

cs.HC2026

RAGent: Physics-Aware Agentic Reasoning for Training-Free mmWave Human Activity Recognition

Mingda Han, Huanqi Yang, Zehua Sun +6

Millimeter-wave (mmWave) radar enables privacy-preserving human activity recognition (HAR), yet real-world deployment remains hindered by costly annotation and poor transferability…

cs.NI2024

Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting

Tao Ni, Zehua Sun, Mingda Han +5

Diverse Wi-Fi-based wireless applications have been proposed, ranging from daily activity recognition to vital sign monitoring. Despite their remarkable sensing accuracy, the high…

cs.IR2023★ 10 cited

A Survey on Federated Recommendation Systems

Zehua Sun, Yonghui Xu, Yong Liu +5

Federated learning has recently been applied to recommendation systems to protect user privacy. In federated learning settings, recommendation systems can train recommendation mode…

cs.CV2020★ 599 cited

Human Action Recognition from Various Data Modalities: A Review

Zehua Sun, Qiuhong Ke, Hossein Rahmani +3

Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action. It has a wide range of applications, and therefore has been attracting increasin…