With the deployment of the fifth generation (5G) in many countries, people start to think about
what the next-generation of wireless communications will be. The current communication …

Task-oriented semantic communications have achieved significant performance gains.
However, the employed deep neural networks in semantic communications have to be …

Large language models (LLMs), which have shown remarkable capabilities, are
revolutionizing AI development and potentially shaping our future. However, given their …

Semantic communication has witnessed a great progress with the development of natural
language processing (NLP) and deep learning (DL). Although existing semantic …

With the development of deep learning (DL), natural language processing (NLP) makes it
possible for us to analyze and understand a large amount of language texts. Accordingly, we …

This work designs a novel semantic communication (SemCom) framework for the next-
generation wireless network to tackle the challenges of unnecessary transmission of vast …

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …

The Internet of Things (IoT) has emerged as a revolution for the design of smart applications
like intelligent transportation systems, smart grid, healthcare 4.0, Industry 4.0, and many …

Large language models (LLMs) have triggered tremendous success to empower daily life by
generative information, and the personalization of LLMs could further contribute to their …

The evolution of wireless networks gravitates towards connected intelligence, a concept that
envisions seamless interconnectivity among humans, objects, and intelligence in a hyper …