1 citations · 2 across the 9 of their papers we have counts for
6 papers · 1 filter
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
Nan Xue, Yaping Sun, Zhiyong Chen +6
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but the role of wireless networks in supporting LLMs has not been thoro…
Semantic Feature Decomposition based Semantic Communication System of Images with Large-scale Visual Generation Models
Senran Fan, Zhicheng Bao, Chen Dong +3
The end-to-end image communication system has been widely studied in the academic community. The escalating demands on image communication systems in terms of data volume, environm…
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
Tong Wu, Zhiyong Chen, Meixia Tao +4
Lightweight and efficient neural network models for deep joint source-channel coding (JSCC) are crucial for semantic communications. In this paper, we propose a novel JSCC architec…
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level
Senran Fan, Zhicheng Bao, Chen Dong +3
Semantic communication, as a revolutionary communication architecture, is considered a promising novel communication paradigm. Unlike traditional symbol-based error-free communicat…
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts
Nan Xue, Yaping Sun, Zhiyong Chen +5
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but how wireless communications can support LLMs has not been extensive…
MambaJSCC: Deep Joint Source-Channel Coding with Visual State Space Model
Tong Wu, Zhiyong Chen, Meixia Tao +3
Lightweight and efficient deep joint source-channel coding (JSCC) is a key technology for semantic communications. In this paper, we design a novel JSCC scheme named MambaJSCC, whi…