collaborators

5 papers

eess.SP2026

Stay or Switch: Online Conformal Bayesian Optimization Guided Fluid Antenna Configuration

Gangyong Zhu, Jia Yan, Shijian Gao

Fluid antenna systems (FAS) introduce additional spatial degrees of freedom to enable integrated sensing and communication (ISAC) in air-ground networks. However, conventional stud…

eess.SP2026

Radio Map Updating from Streaming Spectrum Measurements via Memory-Based Online Gaussian Processes

Yuanyuan Deng, Bo Zhou, Tian Chen +5

Radio maps, which estimate spatial radio-frequency characteristics from spectrum measurements, are essential for applications such as spectrum management and network planning. With…

eess.SP2026

Grey-Box Bayesian Optimization for ISAC in Fluid-Antenna Assisted Air-Ground Network

Gangyong Zhu, Jia Yan, Miaowen Wen +1

Fluid antenna systems (FAS) provide additional spatial diversity for integrated sensing and communication (ISAC) through joint port selection and precoding. \rev{However, existing…

cs.IT2025

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation

Zihao Hu, Jia Yan, Ying-Jun Angela Zhang

The ever-growing learning model size nowadays challenges the communication efficiency and privacy preservation of the traditional federated learning (FL). In this paper, we propose…

eess.SP2025

Optimal Transceiver Design in Over-the-Air Federated Distillation

Zihao Hu, Jia Yan, Ying-Jun Angela Zhang +2

The rapid proliferation and growth of artificial intelligence (AI) has led to the development of federated learning (FL). FL allows wireless devices (WDs) to cooperatively learn by…