4 citations · 4 across the 3 of their papers we have counts for
10 papers
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…
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).…
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…
MD-AirComp+: Adaptive Quantization for Blind Massive Digital Over-the-Air Computation
Li Qiao, Yueqing Wang, Hanjun Jiang +4
Recent research has shown that unsourced massive access (UMA) is naturally well-suited for over-the-air computation (AirComp), as it does not require knowledge of each individual s…
Communicate Less, Synthesize the Rest: Latency-aware Intent-based Generative Semantic Multicasting with Diffusion Models
Xinkai Liu, Mahdi Boloursaz Mashhadi, Li Qiao +3
Generative diffusion models (GDMs) have recently shown great success in synthesizing multimedia signals with high perceptual quality, enabling highly efficient semantic communicati…
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,…