Kezhi Wang

Oct 11, 2024 | arxiv.org | Feibo Jiang |Li Dong |Kezhi Wang |Kun Yang

Dec 13, 2023 | arxiv.org | Li Dong |Yubo Peng |Kezhi Wang |Kun Yang

Sep 3, 2023 | arxiv.org | Yubo Peng |Li Dong |Kezhi Wang |Kun Yang

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Aug 29, 2023 | arxiv.org | Yubo Peng |Kezhi Wang |Kun Yang |Feibo Jiang

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Jul 7, 2023 | arxiv.org | Yubo Peng |Li Dong |Kezhi Wang |Kun Yang

arXiv:2307.03492 (cs) Download a PDF of the paper titled Large AI Model-Based Semantic Communications, by Feibo Jiang and 6 other authors Download PDF Submission history From: Kezhi Wang [ view email] [v1] Fri, 7 Jul 2023 10:01:08 UTC (13,719 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Links to Code Toggle CatalyzeX Code Finder for...