6 citations · 6 across the 6 of their papers we have counts for
7 papers
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
Yajiao Dai, Jun Li, Zhen Mei +5
Intelligent fault diagnosis (IFD) plays a crucial role in ensuring the safe operation of industrial machinery and improving production efficiency. However, traditional supervised d…
Conditional Diffusion Model-Driven Generative Channels for Double RIS-Aided Wireless Systems
Yiyang Ni, Qi Zhang, Guangji Chen +3
With the development of the upcoming sixth-generation networks (6G), reconfigurable intelligent surfaces (RISs) have gained significant attention due to its ability of reconfigurin…
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI
Chi Lu, Yiyang Ni, Zhe Wang +3
Decision Transformer (DT) has recently demonstrated strong generalizability in dynamic resource allocation within unmanned aerial vehicle (UAV) networks, compared to conventional d…
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition
Jie Zhang, Yiyang Ni, Jun Li +6
Reconfigurable intelligent surfaces (RISs) have been recognized as a revolutionary technology for future wireless networks. However, RIS-assisted communications have to continuousl…
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
Guangji Chen, Jun Li, Qingqing Wu +2
This paper investigates an intelligent reflecting surface (IRS) aided wireless federated learning (FL) system, where an access point (AP) coordinates multiple edge devices to train…
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
Jixuan Cui, Jun Li, Zhen Mei +3
The challenge of data scarcity hinders the application of deep learning in industrial surface defect classification (SDC), as it's difficult to collect and centralize sufficient tr…