讲座题目： Database meets Deep Learning: Issues and Challenges

报告人： 新加坡国立大学 Ooi Beng Chin教授

讲座时间：2016年3月10日（周四） 上午 10：30-11：30

讲座地点：厦门大学海韵园软件学院行政办公楼A306会议室

附：讲座简介及Ooi Beng Chin教授简介

Abstract

Deep learning is one of the most popular topics in computer science in recent years. It has improved many complex data-driven applications such as image classificationand speech recognition. Database community has worked on data-driven applications for many years. However, databases and deep learning are quite different in terms of techniques and applications. In this talk, we will discuss research problems in the intersection of deep learning and databases. Particularly, we shall analyze possible improvements for deep learning systems from database perspectives, and discuss the implementation of our distributed deep learning platform called SINGA.

Biography

Beng Chin is a Distinguished Professor of Computer Science at the National University of Singapore (NUS), and an adjunct Chang Jiang Professor at Zhejiang University. He obtained his BSc (1st Class Honors) and PhD from Monash University, Australia, in 1985 and 1989 respectively. His research interests include database, distributed processing, and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness.

Beng Chin has served as Vice PC Chair for ICDE'00,04,06, PC Chair for  ACM SIGMOD'07, Core DB PC chair for  VLDB'08, and PC co-Chair for  IEEE ICDE'12 and IEEE Big Data'15. He was the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (TKDE)(2009-2012), and co-Editor-in-Chief of Journal of Big Data Research (2013-2015).  He is serving as a Trustee Board Member and President of VLDB Endowment, and an Advisory Board Member of ACM SIGMOD.

Beng Chin was the recipient of  ACM SIGMOD 2009 Contributions award, a co-winner of the  2011 Singapore President's Science Award, the recipient of  2012 IEEE Computer Society Kanai award,  2013 NUS Outstanding Researcher Award, and 2014 IEEE TCDE CSEE Impact Award. He was a recipient of VLDB'14 Best Paper award. He is a fellow of the  ACM, IEEE, and Singapore National Academy of Science (SNAS).