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eess.SP2025
SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding
Feifan Zhang, Yuyang Du, Yifan Xiang +2
This paper introduces SA-OOSC, a multimodal large language models (MLLM)-distilled semantic communication framework that achieves efficient semantic coding with scenario-aware impo…
eess.SP2024
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models
Feifan Zhang, Yuyang Du, Kexin Chen +2
Semantic communication is a promising technology for next-generation wireless networks. However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) mo…
eess.SP2024
The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms
Yuyang Du, Hongyu Deng, Soung Chang Liew +3
Large language models (LLMs) have garnered significant attention across various research disciplines, including the wireless communication community. There have been several heated…