8 citations · 25 across the 18 of their papers we have counts for
5 papers · 1 filter
Neural Coding Is Not Always Semantic: Toward the Standardized Coding Workflow in Semantic Communications
Hai-Long Qin, Jincheng Dai, Sixian Wang +5
Semantic communication, leveraging advanced deep learning techniques, emerges as a new paradigm that meets the requirements of next-generation wireless networks. However, current s…
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
Jincheng Dai, Xiaoqi Qin, Sixian Wang +3
Information theory and machine learning are inextricably linked and have even been referred to as "two sides of the same coin". One particularly elegant connection is the essential…
Versatile Semantic Coded Transmission over MIMO Fading Channels
Shengshi Yao, Sixian Wang, Jincheng Dai +2
Semantic communications have shown great potential to boost the end-to-end transmission performance. To further improve the system efficiency, in this paper, we propose a class of…
Towards Semantic Communications: A Paradigm Shift
Kai Niu, Jincheng Dai, Shengshi Yao +4
The last seventy years have witnessed the transition of communication from Shannon's theoretical concept to current high-efficient practical systems. Classical communication system…
Distributed Image Transmission using Deep Joint Source-Channel Coding
Sixian Wang, Ke Yang, Jincheng Dai +1
We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common r…