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

4 citations · 7 across the 14 of their papers we have counts for

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5 papers · 1 filter

eess.SP2024

Unauthorized UAV Countermeasure for Low-Altitude Economy: Joint Communications and Jamming based on MIMO Cellular Systems

Zhuoran Li, Zhen Gao, Kuiyu Wang +5

To ensure the thriving development of low-altitude economy, countering unauthorized unmanned aerial vehicles (UAVs) is an essential task. The existing widely deployed base stations…

cs.IT2024

Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs

Mengmeng Ren, Li Qiao, Long Yang +6

This paper develops an edge-device collaborative Generative Semantic Communications (Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models (M/VLMs) for ul…

cs.IT2024★ 1 cited

CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels

Ye Zeng, Li Qiao, Zhen Gao +5

In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink channel state information (CSI) with low overhead is challenging. In this work, by integr…

cs.IT2024

Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning

Li Qiao, Zhen Gao, Mahdi Boloursaz Mashhadi +1

Over-the-air computation (AirComp) is a promising technology converging communication and computation over wireless networks, which can be particularly effective in model training,…

cs.IT2024★ 1 cited

Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models

Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +3

Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals t…