ICKBM 2019: International Conference of Kernel-based Approximation Methods and it's Applications

Time: 2019-09-17 18:46:00

XI'AN JIAOTONG-LIVERPOOL UNIVERSITY, SUZHOU, CHINA, 10-14 OCTOBER 2019

Kernel-based methods involve fundamental approximation theory (mathematics), stochastic analysis (statistics) and various applications from data science and machine learning. They are widely used in constructing mesh-free or high order methods for solving partial differential equations, high dimensional approximation, uncertainty quantification, density function estimation and machine (deep/kernel) learning. Recent advance in numerical analysis, statistical computing and learning theory brings fruitful results on kernel-based methods. The conference aims to provide a platform for experts and researchers on kernel methods with various backgrounds to work together in order to break research boundaries by exchanging ideas from various fields. It will provide a forum to announce research advancement, to discuss emerging research trends, to identify new research directions to promote applications of kernel methods on various fields and to deepen or stimulate fundamental research.

Link:https://www.xjtlu.edu.cn/en/conference/ickbm/

ORGANIZING COMMITTEE

• Wenwu Gao, Anhui University, China

• Xin Guo, The Hong Kong Polytechnic University, China

• Qi Ye, South China Normal University, China

• Wei Zhao, City University of Hong Kong, China

• Ran Zhang, Shanghai University of Finance & Economics, China

• Shengxin Zhu (Chair), Xi'an Jiaotong-Liverpool University

• Zhengjie Sun, Fudan University, China

• Zhiyong Liu, Ningxia, University, China

LOCAL ORGANIZING COMMITTEE

• Gemai Chen, Xi’an Jiaotong-Liverpool University

• Qiang Niu, Xi'an Jiaotong-Liverpool University

• Min Wen, Xi'an Jiaotong-Liverpool University

• Shengxin Zhu (Chair), Xi'an Jiaotong-Liverpool University