51 citations · 60 across the 4 of their papers we have counts for
4 papers
Resource Allocation for Capacity Optimization in Joint Source-Channel Coding Systems
Kaiyi Chi, Qianqian Yang, Zhaohui Yang +2
Benefited from the advances of deep learning (DL) techniques, deep joint source-channel coding (JSCC) has shown its great potential to improve the performance of wireless transmiss…
Generative Model Based Highly Efficient Semantic Communication Approach for Image Transmission
Tianxiao Han, Jiancheng Tang, Qianqian Yang +3
Deep learning (DL) based semantic communication methods have been explored to transmit images efficiently in recent years. In this paper, we propose a generative model based semant…
Semantic-preserved Communication System for Highly Efficient Speech Transmission
Tianxiao Han, Qianqian Yang, Zhiguo Shi +2
Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wi…
Communication-Efficient Federated Learning with Binary Neural Networks
Yuzhi Yang, Zhaoyang Zhang, Qianqian Yang
Federated learning (FL) is a privacy-preserving machine learning setting that enables many devices to jointly train a shared global model without the need to reveal their data to a…