The emergence of Large Language Models (LLMs) has brought both excitemen...
To improve the application-level communication performance, scheduling o...
Recent years have witnessed an interesting phenomenon in which users com...
Recent years have seen growing adoption of AI-based decision-support sys...
Beamforming design has been widely investigated for integrated sensing a...
Beamforming design has been widely investigated for integrated sensing a...
Burst-Buffering is a promising storage solution that introduces an
inter...
Recent years have seen growing interest among both researchers and
pract...
CT-based bronchial tree analysis plays an important role in the
computer...
This paper investigates the optimization of beamforming design in a syst...
This position paper offers a framework to think about how to better invo...
Reconfigurable intelligent surfaces (RISs) can establish favorable wirel...
Coflow is a recently proposed networking abstraction to help improve the...
A novel intercarrier interference (ICI)-aware orthogonal frequency divis...
Sweep coverage is to realize the periodic coverage of targets by plannin...
A growing body of literature has proposed formal approaches to audit
alg...
Network embedding maps the nodes of a given network into a low-dimension...
Recently, there have been increasing calls for computer science curricul...
In this paper, we focus on intelligent reflecting surface (IRS) assisted...
We study the beamforming optimization for an intelligent reflecting surf...
This paper considers a multiuser massive multiple-input multiple-output
...
Unmanned aerial vehicle (UAV)-assisted communication is a promising
tech...
Iterative clustering algorithms help us to learn the insights behind the...
Paths in a given network are a generalised form of time-serial chains in...
We investigate transmission optimization for intelligent reflecting surf...
In a multiple-input multiple-output (MIMO) system, the availability of
c...
Collaborative Filtering (CF) is one of the most used methods for Recomme...
In this paper, we propose a learning approach for sparse code multiple a...
This letter investigates optimizing utility-energy efficiency (UEE), def...
In this paper, we study the hybrid precoding structures over limited fee...