Prof. XU Zongben

Prof. XU Zongben mainly engages in the basic theoretical research of intelligent information processing, machine learning and data modeling. He proposes the L (1/2) Regularization Theory, which serves as the foundation for Sparse Microwave Imaging. In addition, he discovers and identifies the Xu-Roach Themo in machine learning, which solves several difficult problems in neural networks and simulated evolutionary computation, and provides a general deduction criteria for machine learning and non-linear analysis under Non-Euclidean framework. Moreover, he initiates new modeling theories and methodologies based on visual cognition, formulates series of new algorithms for clustering analysis, discriminant analysis, and latent viable analysis, which have been widely applied to science and engineering. 
He has won the second prize of the National Natural Science Award, the second prize of the National Science and Technology Progress Award, and the highest science and technology award in Shaanxi Province. He is owner of the Tan Kan Kee Science Award in Science Technology, Hua Luogeng prize in mathematics and the winner of CSIAM SUBuchin Applied Mathematics Prize. He delivered a 45-minute sectional talk at International Congress of Mathematicians (ICM 2010) upon the invitation of the congress committee. 
Prof. XU Zongben was the vice-president of Xi’an Jiaotong University. He currently makes several important services for government and professional societies, including the director for Pazhou Lab (Guangzhou), director for the National Engineering Laboratory for Big Data Analytics, a member of National Big Data Expert Advisory Committee and the Strategic Advisory Committee member of National Open Innovation Platform for New Generation of Artificial Intelligence.