45 citations · 71 across the 20 of their papers we have counts for
21 papers
ACSNet: A Deep Neural Network for Compound GNSS Jamming Signal Classification
Min Jiang, Ziqiang Ye, Yue Xiao +3
In the global navigation satellite system (GNSS), identifying not only single but also compound jamming signals is crucial for ensuring reliable navigation and positioning, particu…
Optimizing Radio Access Technology Selection and Precoding in CV-Aided ISAC Systems
Yulan Gao, Ziqiang Ye, Ming Xiao +1
Integrated Sensing and Communication (ISAC) systems promise to revolutionize wireless networks by concurrently supporting high-resolution sensing and high-performance communication…
Guiding IoT-Based Healthcare Alert Systems with Large Language Models
Yulan Gao, Ziqiang Ye, Ming Xiao +2
Healthcare alert systems (HAS) are undergoing rapid evolution, propelled by advancements in artificial intelligence (AI), Internet of Things (IoT) technologies, and increasing heal…
GNSS Interference Classification Using Federated Reservoir Computing
Ziqiang Ye, Yulan Gao, Xinyue Liu +3
The expanding use of Unmanned Aerial Vehicles (UAVs) in vital areas like traffic management, surveillance, and environmental monitoring highlights the need for robust communication…
CA-FedRC: Codebook Adaptation via Federated Reservoir Computing in 5G NR
Ziqiang Ye, Sikai Liao, Yulan Gao +4
With the burgeon deployment of the fifth-generation new radio (5G NR) networks, the codebook plays a crucial role in enabling the base station (BS) to acquire the channel state inf…
Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach
Yulan Gao, Ziqiang Ye, Han Yu
The Space-Air-Ground Integrated Network (SAGIN), crucial to the advancement of sixth-generation (6G) technology, plays a key role in ensuring universal connectivity, particularly b…
Advances and Open Challenges in Federated Foundation Models
Chao Ren, Han Yu, Hongyi Peng +9
The integration of Foundation Models (FMs) with Federated Learning (FL) presents a transformative paradigm in Artificial Intelligence (AI). This integration offers enhanced capabil…
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks
Yulan Gao, Chao Ren, Han Yu
In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especiall…
Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
Ziqiaing Ye, Yulan Gao, Yue Xiao +2
In smart healthcare, health monitoring utilizes diverse tools and technologies to analyze patients' real-time biosignal data, enabling immediate actions and interventions. Existing…
Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation
Minrui Xu, Dusit Niyato, Jiawen Kang +5
Quantum computing networks enable scalable collaboration and secure information exchange among multiple classical and quantum computing nodes while executing large-scale generative…
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
Yulan Gao, Ziqiang Ye, Yue Xiao +1
The paradigm of federated learning (FL) to address data privacy concerns by locally training parameters on resource-constrained clients in a distributed manner has garnered signifi…
Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing
Ziqiang Ye, Yulan Gao, Yue Xiao +3
In this paper, we aim to address the challenge of hybrid mobile edge-quantum computing (MEQC) for sustainable task offloading scheduling in mobile networks. We develop cost-effecti…
Multi-Tier Client Selection for Mobile Federated Learning Networks
Yulan Gao, Yansong Zhao, Han Yu
Federated learning (FL), which addresses data privacy issues by training models on resource-constrained mobile devices in a distributed manner, has attracted significant research a…
Design of Reconfigurable Intelligent Surface-Aided Cross-Media Communications
Mingming Wu, Yue Xiao, Yulan Gao +1
A novel reconfigurable intelligent surface (RIS)-aided hybrid reflection/transmitter design is proposed for achieving information exchange in cross-media communications. In pursuit…
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems
Yulan Gao, Ziqiang Ye, Han Yu +3
This work poses a distributed multi-resource allocation scheme for minimizing the weighted sum of latency and energy consumption in the on-device distributed federated learning (FL…
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Yulan Gao, Yue Xiao, Xianfu Lei +5
Owing to the recent advancements of meta-materials and meta-surfaces, the concept of reconfigurable intelligent surface (RIS) has been embraced to meet the spectral- and energy-eff…
Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications
Yulan Gao, Chao Yong, Zehui Xiong +3
This paper investigates an intelligent reflecting surface (IRS) aided cooperative communication network, where the IRS exploits large reflecting elements to proactively steer the i…
A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications
Yulan Gao, Chao Yong, Zehui Xiong +3
It is known that the capacity of the intelligent reflecting surface (IRS) aided cellular network can be effectively improved by reflecting the incident signals from the transmitter…
A Stackelberg Game Approach to Resource Allocation for Intelligent Reflecting Surface Aided Communications
Yulan Gao, Chao Yong, Zehui Xiong +3
It is known that the capacity of the intelligent reflecting surface (IRS) aided cellular network can be effectively improved by reflecting the incident signals from the transmitter…
Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks
Yulan Gao, Chao Yong, Zehui Xiong +3
In this paper, the adoption of an intelligent reflecting surface (IRS) for multiple single-antenna source terminal (ST)-DT pairs in two-hop networks is investigated. Different from…
Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints
Yulan Gao, Chao Yong, Zehui Xiong +3
This paper investigates the system spectral efficiency (SE) in reconfigurable intelligent surface (RIS)-aided multiuser multiple-input single-output (MISO) systems, where RIS can r…