报 告 人：林宇清，澳大利亚the University of Newcastle副教授，博士生导师。集美大学讲座教授。
报告时间：2023年6月29日下午3:30
报告地点：章辉楼442
联 系 人：晏卫根教授
欢迎老师与研究生参加！
报告摘要：In this talk, we will first introduce some basic concepts in Deep Learning, including Recurrent Neural Network, Convolutional Neural Network, and then review some latest development in Deep Learning. Lately, there are many advanced Deep Learning approaches have been developed and gain huge attention. I will discuss how Deep Learning could assist research in Graph Theory using Graph Neural network, and show some experimental work that I have conducted.
报告人简介：林宇清，澳大利亚the University of Newcastle, school of information and physical sciences副教授，博士生导师，集美大学讲座教授。从事图论及计算机科学研究，涉及到图的连通度，匹配理论，及算法设计和机器学习。
