The advancement of artificial intelligence (AI) has the potential to revolutionize network
communication. The use of advanced feature extraction in semantic communication can …

Semantic Communication (SC) has emerged as a novel communication paradigm in recent
years, successfully transcending the Shannon physical capacity limits through innovative …

Semantic communication (SemCom) demonstrates strong superiority over conventional bit-
level accurate transmission, by only attempting to recover the essential semantic information …

Semantic communications has received growing interest since it can remarkably reduce the
amount of data to be transmitted without missing critical information. Most existing works …

Semantic communication is a promising technology for next-generation wireless networks.
However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) …

Semantic Communication (SemCom) has garnered widespread attention due to its
effectiveness and intelligence as an emerging technique. The current image SemCom …

Effectively compressing transmitted images and reducing the distortion of reconstructed
images are challenges in image semantic communication. This paper proposes a novel …

In recent years, image semantic communications (ISC) have gained significant attention as a
critical area of semantic communications. However, the majority of existing frameworks for …

While semantic communications have shown the potential in the case of single-modal single-
users, its applications to the multi-user scenario remain limited. In this paper, we investigate …

Despite deep learning's progress in semantic communication, traditional fixed-length
encoding does not adequately address the variable complexity of semantic content, often …