2023 International Conference on the Cooperation and Integration of Industry, Education, Research and Application (Chongqing)
New Generation of Information Technology Working Conference

The 9th International Conference on Fuzzy Systems and Data Mining (FSDM 2023)

Abstract: The method of multi-granularity granular-ball computing is proposed based on the theory of multi-granularity cognitive computing. The theory uses granular-balls of different sizes to cover data samples, and simulates the "large-scale first" human brain cognitive mechanism based on the generation method from coarse to fine. It can adaptively and efficiently realize the multi-granularity representation of data, and form an efficient, robust and interpretable multi-granularity computing mode. This report introduces the relevant research results and the latest progress of multi-granularity granular-ball computing theory, mainly including: the granular-ball classifier and granular-ball fuzzy set realize efficient and robust classification method and fuzzy calculation of non-point input respectively; the granular-ball clustering improves the efficiency and robustness of existing major clustering methods; the granular-ball rough set unifies the classic and neighborhood rough set models, and establishes a conceptual knowledge representation, realizes the equivalent class knowledge representation of the upper and lower approximations of the neighborhood rough set, and improves the learning accuracy; the granular-ball neural network first establishes has established an inherently explainable, anti-attack, and high-precision lightweight neural network learning model; granular-ball evolution computing can achieve better optimization accuracy and convergence speed, etc.

Biography: Shuyin Xia, National Excellent Youth, Professor, Doctoral Supervisor, Outstanding Youth of Chongqing, Top Talent of Chongqing Talent Year, Deputy Director of the Key Laboratory of Cyberspace Big Data Intelligent Computing Ministry of Education, Deputy Director of Frontier Interdisciplinary Research Institute, Deputy Director of Key Laboratory of Big Data Intelligent Computing.
He presided over 4 national key research and development projects and 4 projects of the National Natural Science Foundation of China. As the first author, he has published more than 30 papers in important intelligent journals such as IEEETPMAI, TNNLS, TKDE, and TCYB. He won the first prize of the Wu Wenjun Artificial Intelligence Technology Progress Award in 2021, and the 2020 Outstanding Scientific and Technological Achievement Award of the Chinese Association for Artificial Intelligence.