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20242026
most citedWDMoE: Wireless Distributed Mixture of Experts for Large Language Models

1 citations · 1 across the 17 of their papers we have counts for

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cs.IT2025

Text-Guided Diffusion Model-based Generative Communication for Wireless Image Transmission

Shengkang Chen, Tong Wu, Zhiyong Chen +3

Reliable image transmission over wireless channels is particularly challenging at extremely low transmission rates, where conventional compression and channel coding schemes fail t…

cs.IT2025

Spatial Computing Communications for Multi-User Virtual Reality in Distributed Mobile Edge Computing Network

Caolu Xu, Zhiyong Chen, Meixia Tao +2

Immersive virtual reality (VR) applications impose stringent requirements on latency, energy efficiency, and computational resources, particularly in multi-user interactive scenari…

cs.IT2025

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems

Junjie Ni, Tong Wu, Zhiyong Chen +3

In this paper, we propose a mixture of semantics (MoS) transmission strategy for wireless semantic communication systems based on generative artificial intelligence (AI). At the tr…

cs.IT2025

ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications

Tong Wu, Zhiyong Chen, Dazhi He +5

Diffusion models (DMs) have recently achieved significant success in wireless communications systems due to their denoising capabilities. The broadcast nature of wireless signals m…

eess.SP2025

Addressing the Curse of Scenario and Task Generalization in AI-6G: A Multi-Modal Paradigm

Tianyu Jiao, Zhuoran Xiao, Yin Xu +9

Existing works on machine learning (ML)-empowered wireless communication primarily focus on monolithic scenarios and single tasks. However, with the blooming growth of communicatio…