28 citations · 39 across the 5 of their papers we have counts for
5 papers
Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models
Chuanhong Liu, Caili Guo, Yang Yang +2
Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial…
Adaptable Semantic Compression and Resource Allocation for Task-Oriented Communications
Chuanhong Liu, Caili Guo, Yang Yang +1
Task-oriented communication is a new paradigm that aims at providing efficient connectivity for accomplishing intelligent tasks rather than the reception of every transmitted bit.…
Bandwidth and Power Allocation for Task-Oriented SemanticCommunication
Chuanhong Liu, Caili Guo, Yang Yang +1
Deep learning enabled semantic communication has been studied to improve communication efficiency while guaranteeing intelligent task performance. Different from conventional commu…
Semantic Communications With AI Tasks
Yang Yang, Caili Guo, Fangfang Liu +4
A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communicati…
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems
Chuanhong Liu, Caili Guo, Yang Yang +3
Limited radio frequency (RF) resources restrict the number of users that can participate in federated learning (FL) thus affecting FL convergence speed and performance. In this pap…