应数学与计算科学学院、广西应用数学中心(乐动网页版)及广西高校数据分析与计算重点实验室邀请，美国中佛罗里达大学孙颀彧教授将于2024年6月5日来校讲学，欢迎全校师生踊跃参加。报告具体安排如下：

报告题目：Barron Space for Graph Convolution Neural Networks

主讲人：孙颀彧教授

时间：2024年6月5日（周三）下午4:30-5:30

地点：花江校区慧谷4号楼3楼310报告厅

报告摘要：

In this talk, we introduce a Barron space of functions on a compact domain of graph signals, discuss its various properties, such as reproducing kernel Banach space property and universal approximation property. We will also discuss well approximation property of functions in the Barron space by outputs of some graph convolution neural networks, and learnability of functions in the Barron space from their random samples.   

主讲人简介：

孙颀彧，美国中佛罗里达大学数学系教授。主要从事傅里叶分析、小波分析、框架理论、信号采样和处理等方面的研究工作。在国际顶尖权威杂志Memoirs of American Mathematical Society, Transaction of American Mathematical Society, Applied and Computational Harmonic Analysis, Advances in Computational Mathematics, IEEE Transaction on Information Theory, IEEE Transaction on Signal Processing, Journal of Fourier Analysis and Applications等发表论文100多篇，被引3000多次。先后担任Frontiers in Applied Mathematics and Statistics, Sampling Theory in Signal and Imaging Processing, Numerical Functional Analysis and Optimization, Advances in Computational Mathematics等期刊的编委。