Niu Kai, Beijing University of Posts and Telecommunication, China

Bio: Niu Kai is a Professor and Ph.D. Supervisor currently teaching at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications. His main research interests include 5G/6G mobile communication and intelligent signal processing. He has successively led several key and general projects of the National Natural Science Foundation of China, as well as key research and development programs. He has published over 200 papers in important IEEE academic journals and conferences and has applied for more than 100 invention patents. The high-reliability polar coding scheme he proposed has been incorporated into the 5G standard. He has received the Natural Science First Prize of the Chinese Institute of Electronics Science and Technology Award and has been selected as an Outstanding Scientific and Technological Worker by the Chinese Institute of Electronics.

Speech Title: Semantic Information Theory and Methods
Abstract: The integration of communication and intelligence is a significant trend in information technology, with semantic information emerging as a new medium for interaction in future communication systems. This report first introduces the essential characteristic of semantic information—synonymity. It then provides a brief overview of the basic framework of semantic information theory, including the measurement system for semantic information and three fundamental theorems of semantic coding, which delineate the performance limits of semantic communication. Finally, the report presents a system framework for semantic coding and transmission, introduces a variational inference method based on synonymous mapping, and demonstrates the performance advantages of semantic coding. It is foreseeable that semantic communication will become a new paradigm for future communication, boasting broad application prospects.

 

 

 

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