英国布鲁内尔伦敦大学Kezhi Wang教授做客信息学院智能计算与语言信息处理重点实验室

4月27日下午，应湖南师范大学信息科学与工程学院、智能计算与语言信息处理湖南省重点实验室邀请，英国伦敦布鲁内尔伦敦大学的Kezhi Wang教授为大家做了主题为“Large Al Model based Semantic Commmunicat1ons”的学术报告，本次报告由信息科学与工程学院肖林副院长主持，科研办组织召开，2023级和2024级研究生及相关老师参加。

报告伊始，王教授首先向大家介绍了语义通信的基本概念，指出语义通信是一种以信息语义为核心的新型通信范式，其目标是通过对传输内容的理解和推理，实现更高效、更智能的信息交互。王教授指出，现在的语义通信面临着知识表示能力有限、动态环境下的知识更新效率低下以及分布式知识共享中的安全隐患等关键挑战，为此王教授团队提出了一种基于大型人工智能模型的语义通信框架（LAM-SC），利用大模型的强大语义理解、自适应学习和安全增强能力来优化语义通信系统的方法来解决此问题。最后，王教授展望了该框架在更广泛领域的应用前景，并呼吁学术界和工业界共同推动语义通信技术的进步。

报告结束后，大家针对语义通信所面临的问题积极提问，气氛十分热烈。王教授耐心地回答了每一个问题，并进一步深入探讨了语义通信在实际应用中的挑战和未来发展方向。师生们在讨论和交流中，不仅获得了对该领域的更加深入的理解，也对当前技术的瓶颈和潜在解决方案有了更清晰的认识。最后，王教授鼓励大家保持对新技术的好奇心，勇于探索，继续推动学术研究和前沿技术的发展。

主讲人简介:

Prof Kezhi Wang is currently working as a Professor at Department of Computer Science at Brunel University of London, UK. Prof Kezhi Wang has received Ph.D. from the University of Warwick. He has been listed as a Highly Cited Researcher, 2023 and 2024, by Clarivate Web of Science and a Top 2% Scientist of the World by Stanford University (Elsevier, single-year data sets), 2022-2023.He has received several awards, including the prestigious IEEE Communications Society Leonard G. Abraham Prize (2022), IEEE Communications Society Heinrich Hertz Award (2023), and IEEE Communications Society Fred W. Ellersick Prize (2024). He has published 130+ IEEE journals (IEEE Transactions, IEEE Letters, IEEE Magazines), with the citation 13,000+ (Google Scholar). He currently serves as an Associate Editor for many journals including IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Communications Letters, and IEEE Access, serves/served as a Guest Editor for a number of journals such as IEEE Communications Magazine, IEEE Network and IEEE Journal on Selected Areas in Communications and TPC Track Chair/Publicity Co-Chair/Session Chair/TPC member for many conferences.