10 papers
UAV-Assisted Cooperative Edge Inference for Low-Altitude Economy via MoE-based Hierarchical Deep Reinforcement Learning
Wenhao Zhuang, Yuyi Mao, Ivan Wang-Hei Ho +1
The low-altitude economy (LAE) is reshaping the industrial landscape by deploying unmanned aerial vehicles (UAVs) to facilitate a wide range of applications demanding flexible aeri…
Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
Wenhan Zheng, Yuyi Mao, Ivan Wang-Hei Ho
Channel state information (CSI)-based human activity recognition (HAR) is vulnerable to performance degradation under domain shifts across varying physical environments. Continual…
Energy-Efficient Velocity Profile Optimization for Movable Antenna-Enabled Sensing Systems
Jiannan Wang, Yuyi Mao, Xianghao Yu +1
Movable antennas (MAs) enable the reconfiguration of array geometry within a bounded region to exploit sub-wavelength spatial degrees of freedom in wireless communication and sensi…
FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting
Jingtao Guo, Yuyi Mao, Ivan Wang-Hei Ho
Wi-Fi channel state information (CSI)-based sensing provides a non-invasive, device-free approach for tasks such as human activity recognition and crowd counting, but large-scale d…
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach
Xiaowen Ye, Yuyi Mao, Xianghao Yu +3
This paper studies an integrated sensing and communications (ISAC) system for low-altitude economy (LAE), where a ground base station (GBS) provides communication and navigation se…
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding
Wenhao Zhuang, Yuyi Mao
Mobile edge computing (MEC) has empowered mobile devices (MDs) in supporting artificial intelligence (AI) applications through collaborative efforts with proximal MEC servers. Unfo…