Recent advances in deep learning have led to increased interest in solvi...
Recent deep learning methods have led to increased interest in solving
h...
We propose a novel neural waveform compression method to catalyze emergi...
Most semantic communication systems leverage deep learning models to pro...
In this paper, we propose a new class of high-efficiency semantic coded
...
In this paper, we aim to redesign the vision Transformer (ViT) as a new
...
Semantic communications have shown great potential to boost the end-to-e...
Classical communication paradigms focus on accurately transmitting bits ...
In this paper, we design a new class of high-efficiency deep joint
sourc...
As one novel approach to realize end-to-end wireless image semantic
tran...
The last seventy years have witnessed the transition of communication fr...
We study the problem of deep joint source-channel coding (D-JSCC) for
co...
In this paper, we propose a new class of high-efficient deep joint
sourc...
Classical coded transmission schemes, which rely on probabilistic models...