1 citations · 1 across the 6 of their papers we have counts for
4 papers · 1 filter
SC-CDM: Enhancing Quality of Image Semantic Communication with a Compact Diffusion Model
Kexin Zhang, Lixin Li, Wensheng Lin +3
Semantic Communication (SC) is an emerging technology that has attracted much attention in the sixth-generation (6G) mobile communication systems. However, few literature has fully…
SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications
Yuna Yan, Lixin Li, Xin Zhang +3
Most current Deep Learning-based Semantic Communication (DeepSC) systems are designed and trained exclusively for particular single-channel conditions, which restricts their adapta…
Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
Kexin Zhang, Lixin Li, Wensheng Lin +4
Semantic Communication (SC) is an emerging technology aiming to surpass the Shannon limit. Traditional SC strategies often minimize signal distortion between the original and recon…
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication
Yuna Yan, Xin Zhang, Lixin Li +4
In this paper, we address the problem of image semantic communication in a multi-user deployment scenario and propose a federated learning (FL) strategy for a Swin Transformer-base…