计算机学院专家讲座-Deep Learning meets Databas

主 讲 人：Prof. OOI Beng Chin, ACM、IEEE Fellow，新加坡国家科学院院士

（新加坡国立大学计算机科学杰出教授、浙江大学长江讲座(adjunct)教授）

讲座时间：2016年3月23日（星期三）10:00--11:00

讲座地点：主教学楼1811会议室

主办单位：重庆大学计算机学院

报告摘要：

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 classification and speech recognition. Data  community has worked on data-driven applications for many years. However, data s 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 data s. Particularly, we shall analyze possible improvements for deep learning systems from data  and dataflow perspectives, and discuss the implementation of our distributed deep learning platform called SINGA.

主讲人简介：

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 data , 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).

黄铭钧，新加坡国立大学计算机科学杰出教授和浙江大学长江讲座(adjunct)教授，的研究兴趣包括数据库性能问题，索引技术，大数据，多媒体及空间数据库处理，内存数据管理，云计算和并行系统的研究与高级应用等。他的研究工作以企业的实际应用为出发点，致力于将最新的科研成果转化为实际的生产力。他在国际会议如ACM SIGMOD, VLDB, IEEE ICDE 和杂志如ACM TODS, IEEE TKDE, VLDB 等发表过200多篇论文，被引用超过一万三千余次和H指数达到67。他担任过 IEEE ICDE'00, 04, 06 的程序委员会副主席，以及 ACM SIGMOD'07， VLDB'08 (core DB track)， IEEE ICDE'12 和 IEEE Big Data'15 的程序委员会主席。他也担任过 IEEE Transactions on Knowledge and Data Engineering(TKDE) 和 Journal of Big Data Research (JDBR) 杂志的总编委，和参与2008(Claremont)和2013(Beckman)每五年一次的数据库研究检讨会。 他现任 VLDB Endowment 委员会理事主席(2014-2017)， 和 ACM SIGMOD 顾问委员会委员(2015-)。他是 ACM 和 IEEE Fellow， 以及新加坡国家科学院院士。他也是2009年度ACM SIGMOD贡献奖，2011年度新加坡总统科学奖，2012年度IEEE计算机学会Kanai奖， 2013年度新国大杰出研究奖，以及2014年度IEEE TCDE CSEE影响奖的获得者。

欢迎各位老师、同学参加，并针对有关问题现场提问!