Vector Quantized Variational Autoencoder (VQ-VAE) has shown promise in representing
diverse and complex data distributions in deep learning, making it a potential solution for …

Semantic communication (SemCom) has been deemed as a promising communication
paradigm to break through the bottleneck of traditional communications. Nonetheless, most …

The recent emergence of 6G raises the challenge of increasing the transmission data rate
even further in order to overcome the Shannon limit. Traditional communication methods fall …

While sensing imagery in space missions has broad applications, the growing image
resolution and data volume have caused a major challenge due to limited deep space …

随着人工智能与通信的交叉融合, 文本, 图像, 音频, 视频等多模态数据处理技术蓬勃发展,
模态语义的共享维度被深度挖掘, 多模态语义信息的高度抽象, 智能简约等特性被充分利用 …

Automation of High-Level Context (HLC) reasoning for intelligent systems at scale is
imperative due to the unceasing accumulation of contextual data in the IoT era, the trend of …

Semantic communication, emerging as a breakthrough beyond the classical Shannon
paradigm, aims to convey the essential meaning of source data rather than merely focusing …

Cloud and edge computing have proposed different functionalities to enable multiple
applications requiring different communication, computing, and caching (3C) resources. The …

Semantic communication enables intelligent agents to extract meaning (or semantics) of
information via interaction, to carry out collaborative tasks. In this paper, we study semantic …

Semantic communication is a novel communication paradigm that focuses on recognizing
and delivering the desired meaning of messages to the destination users. Most existing …