116 citations · 196 across the 22 of their papers we have counts for
7 papers · 1 filter
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
Yifei Shen, Jiawei Shao, Xinjie Zhang +5
The evolution of wireless networks gravitates towards connected intelligence, a concept that envisions seamless interconnectivity among humans, objects, and intelligence in a hyper…
Graph Neural Networks for Wireless Communications: From Theory to Practice
Yifei Shen, Jun Zhang, S. H. Song +1
Deep learning-based approaches have been developed to solve challenging problems in wireless communications, leading to promising results. Early attempts adopted neural network arc…
How Neural Architectures Affect Deep Learning for Communication Networks?
Yifei Shen, Jun Zhang, Khaled B. Letaief
In recent years, there has been a surge in applying deep learning to various challenging design problems in communication networks. The early attempts adopt neural architectures in…
AI Empowered Resource Management for Future Wireless Networks
Yifei Shen, Jun Zhang, S. H. Song +1
Resource management plays a pivotal role in wireless networks, which, unfortunately, leads to challenging NP-hard problems. Artificial Intelligence (AI), especially deep learning t…
A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems
Yifan Ma, Yifei Shen, Xianghao Yu +3
Intelligent reflecting surfaces (IRSs) are revolutionary enablers for next-generation wireless communication networks, with the ability to customize the radio propagation environme…
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
Yifei Shen, Yuanming Shi, Jun Zhang +1
Deep learning has recently emerged as a disruptive technology to solve challenging radio resource management problems in wireless networks. However, the neural network architecture…
A Graph Neural Network Approach for Scalable Wireless Power Control
Yifei Shen, Yuanming Shi, Jun Zhang +1
Deep neural networks have recently emerged as a disruptive technology to solve NP-hard wireless resource allocation problems in a real-time manner. However, the adopted neural netw…