Speaker: Academician Zongben Xu, Chinese Academy of Sciences

Affiliation: Xi'an Jiaotong University

Organizer: School of Computer Science and Information Engineering

Time: 10:10, Friday, October 10, 2025

Venue: Meeting Room B501, Feicui Science and Education Building, Feicui Lake Campus

Report Abstract:

Generative artificial intelligence characterized by large models has developed rapidly in recent years, which is profoundly influencing and transforming the research paradigm of science and technology and the process of the industrial revolution. According to popular understanding, the powerful capabilities of large models stem from the possible emergence of intelligence (Intelligent Emergence). However, what is intelligent emergence? What factors give rise to intelligent emergence? Under what circumstances do large models exhibit intelligent emergence? There are many doubts and debates about these issues. This report proposes a mathematical framework and mathematical theory to analyze these questions.

Speaker Profile:

Zongben Xu, Academician of the Chinese Academy of Sciences, mathematician, expert in signal and information processing, Professor at Xi'an Jiaotong University. He mainly engages in the basic theoretical research of intelligent information processing, machine learning and data modeling. He proposed the L(1/2) regularization theory for sparse information processing, which provided an important foundation for sparse microwave imaging; discovered and proved the "Xu-Rocha" theorem of machine learning, solved some difficult problems in neural networks and simulated evolutionary computing, and provided a universal quantitative deduction criterion for machine learning and nonlinear analysis under non-Euclidean frameworks; proposed new principles and methods of data modeling based on visual cognition, formed a series of core data mining algorithms such as cluster analysis, discriminant analysis and latent variable analysis, which have been widely applied in scientific and engineering fields.

He has won the Second Prize of the National Natural Science Award, the Second Prize of the National Science and Technology Progress Award, the Shaanxi Provincial Highest Science and Technology Award, the International IAITQM Richard Price Data Science Award, the China Tan Kah Kee Information Technology Science Award, the Hua Luogeng Mathematics Award, the Su Buqing Applied Mathematics Award, and the Wu Wenjun Artificial Intelligence Highest Science and Technology Achievement Award; he gave a 45-minute invited report at the 2010 International Congress of Mathematicians. He once served as the Vice President of Xi'an Jiaotong University. He is currently the Director of the Guangzhou Base of Peng Cheng National Laboratory / Pazhou Laboratory (Huangpu), the Director of the Shaanxi National Applied Mathematics Center, and the Director of the National Engineering Laboratory for Big Data Algorithms and Analysis Technology. He is a member of the National Expert Advisory Committee on Big Data and a member of the National Strategic Advisory Committee on Next Generation Artificial Intelligence.