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2019年1月19日学术报告——Xuemin Lin

来源: 计算机学院 | 发表时间: 2019-01-16 | 浏览次数: 193


报告题目:Towards Big Graph Processing: Applications, Challenges, and Advances

报告人:Xuemin Lin

时间:2019119日上午10

地点:南京邮电大学仙林校区行政楼报告厅

报告人简介:

Xuemin Lin is a UNSW Scientia Professor , the head of database group in the school of computer science and engineering at UNSW, and a current Professor at ECNU (specially appointed by the Chinese National Thousands Distinguished Professors Program).  He is a fellow of IEEE. Xuemin's research interests lie in databases, data mining, algorithms, and complexities. Specifically, he is working in the areas of scalable processing and mining of various data, including graph, spatial-temporal, streaming, text and uncertain data. Xuemin has been very frequently serving as a PC member and area chairs (senior PC members)  in SIGMOD, VLDB, ICDE, ICDM, KDD, CIKM, and EDBT. He received the honour of outstanding reviewer in KDD2012. He was an associate editor of ACM TODS (2008-2014) and IEEE TKDE (Feb 2013- Jan 2015), and an associate editor-in-Chief of TKDE (2015-2016), respectively. Currently, he is the editor-in-Chief of TKDE (Jan 2017 - now) and an associate editor of WWW Journal (2013 - now).

报告内容:

Graph data are key parts of Big Data and widely used for modelling complex structured data with a broad spectrum of applications. Over the last decade, tremendous research efforts have been devoted to many fundamental problems in managing and analysing graph data.  In this talk, I will cover various applications, challenges, and recent advances. We will also look to the future of the area.