Guangyuan Liu — accepted AI-conference papers

2025

Supervised Score-Based Modeling by Gradient Boosting

Changyuan Zhao, Hongyang Du, Guangyuan Liu, Dusit Niyato

AAAI 2025technical

Score-based generative models can effectively learn the distribution of data by estimating the gradient of the distribution. Due to the multi-step denoising characteristic, researchers have recently considered combining score-based generative models with the gradient boosting algorithm, a multi-step…

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2024

Generative Al-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts

Hongyang Du, Guangyuan Liu, Dusit Niyato, Jiayi Zhang, Jiawen Kang, Zehui Xiong +2

ICASSP 2024accepted

Semantic communication (SemCom) holds promise for reducing network resource consumption while achieving the communications goal. However, the computational overheads in jointly training semantic encoders and decoders—and the subsequent deployment in network devices—are overlooked. Recent advances in…

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