28 citations · 41 across the 9 of their papers we have counts for
10 papers
Semantic-Aware Joint Source-Channel Optimization for Encoder-Agnostic Digital Video Communication
Xiangben Zhu, Caili Guo, Yang Yang +2
Video semantic communication has attracted increasing attention as a promising approach to improving video transmission efficiency. However, most existing approaches rely on comput…
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…
OFDM-Based Digital Semantic Communication with Importance Awareness
Chuanhong Liu, Caili Guo, Yang Yang +2
Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mai…
Explainable Semantic Communication for Text Tasks
Chuanhong Liu, Caili Guo, Yang Yang +4
Task-oriented semantic communication has gained increasing attention due to its ability to reduce the amount of transmitted data without sacrificing task performance. Although some…
Deep Joint Source-Channel Coding for Wireless Image Transmission with Semantic Importance
Qizheng Sun, Caili Guo, Yang Yang +3
The sixth-generation mobile communication system proposes the vision of smart interconnection of everything, which requires accomplishing communication tasks while ensuring the per…
Deep Joint Source-Channel Coding Based on Semantics of Pixels
Qizheng Sun, Caili Guo, Yang Yang +3
The semantic information of the image for intelligent tasks is hidden behind the pixels, and slight changes in the pixels will affect the performance of intelligent tasks. In order…
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…