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20242026
most citedToken Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications

4 citations · 4 across the 4 of their papers we have counts for

collaborators

8 papers

cs.IT2026

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +2

Token communications (TokenCom) is an emerging generative semantic communication paradigm, where tokens serve as compact representation units across modalities. Their contextual de…

eess.IV2026

AirTF: Over-the-Air Token Fusion for Task-Oriented Multi-Modal Token Communications

Bole Liu, Li Qiao, Minghui Wu +2

In the Internet of Vehicles (IoV), transmitting high-dimensional multi-modal sensory data to edge servers for time-sensitive tasks faces severe spectrum bottlenecks. To address thi…

cs.MM20264 cited

Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications

Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +3

In this paper, we introduce token communications (TokCom), a large model-driven framework to leverage cross-modal context information in generative semantic communications (GenSC).…

eess.SP2026

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework

Yu Ma, Hang Yin, Li Qiao +4

Driven by the massive video transmission requirements in the Internet of Everything, semantic communication holds great promise for striking a balance between transmission efficien…

eess.SP2025

Generative Video Semantic Communication via Multimodal Semantic Fusion with Large Model

Hang Yin, Li Qiao, Yu Ma +4

Despite significant advancements in traditional syntactic communications based on Shannon's theory, these methods struggle to meet the requirements of 6G immersive communications,…

cs.IT2025

Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +1

Token communications is an emerging generative semantic communication concept that reduces transmission rates by using context and transformer-based token processing, with tokens s…