activity
20242026
most citedSemantic Communication based on Large Language Model for Underwater Image Transmission

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IT2026

Anchor-Aided Multi-User Semantic Communication with Adaptive Decoders

Loc X. Nguyen, Phuong-Nam Tran, Trung Thanh Pham +4

Semantic communication (SemCom) is accelerating its momentum to catch up with the massive increase in users' demands in both quantity and quality, with the assistance of advanced d…

cs.SD2025

Large Speech Model Enabled Semantic Communication

Yun Tian, Zhijin Qin, Guocheng Lv +3

Existing speech semantic communication systems mainly based on Joint Source-Channel Coding (JSCC) architectures have demonstrated impressive performance, but their effectiveness re…

eess.IV2025

Semantic Communication Enabled Holographic Video Processing and Transmission

Jingkai Ying, Zhiyuan Qi, Yulong Feng +4

Holographic video communication is considered a paradigm shift in visual communications, becoming increasingly popular for its ability to offer immersive experiences. This article…

cs.AI2025

Multi-Task Semantic Communications via Large Models

Wanli Ni, Zhijin Qin, Haofeng Sun +2

Artificial intelligence (AI) promises to revolutionize the design, optimization and management of next-generation communication systems. In this article, we explore the integration…

cs.CV2024★ 1 cited

Semantic Communication based on Large Language Model for Underwater Image Transmission

Weilong Chen, Wenxuan Xu, Haoran Chen +4

Underwater communication is essential for environmental monitoring, marine biology research, and underwater exploration. Traditional underwater communication faces limitations like…

eess.SP2024

Hybrid Digital-Analog Semantic Communications

Huiqiang Xie, Zhijin Qin, Zhu Han +1

Digital and analog semantic communications (SemCom) face inherent limitations such as data security concerns in analog SemCom, as well as leveling-off and cliff-edge effects in dig…

eess.SP2024

Towards Intelligent Communications: Large Model Empowered Semantic Communications

Huiqiang Xie, Zhijin Qin, Xiaoming Tao +1

Deep learning enabled semantic communications have shown great potential to significantly improve transmission efficiency and alleviate spectrum scarcity, by effectively exchanging…