报告题目：Large Graph Processing

报 告 人：于旭 教授（Prof. YU, Xu Jeffrey）

报告时间：3月15日（星期五）下午 15:00 – 17:00

报告地点：图书馆北馆 二楼会议室

报告摘要：

In this talk, we will discuss several research topics we have been doing on large graph processing. In particular, we will discuss some of our work on large graph processing in parallel and cloud environments. One of the work is related to clouding computing with privacy control. With the advent of cloud computing, it becomes desirable to utilize cloud computing to efficiently process complex operations on large graphs without compromising their sensitive information. We will discuss shortest distance computing in the cloud, which aims at the following goals:

1) preventing outsourced graphs from neighborhood attack,

2) preserving shortest distances in outsourced graphs, and

3) minimizing overhead on the client side.

We will discuss our approaches. The other is related to graph partitioning. We will also discuss our recent work on dynamic graph particuing on Cloud.

于旭 教授（Prof. YU, Xu Jeffrey）介绍：

Dr Jeffrey Xu Yu is a Professor in the Department of Systems Engineering and Engineering Management, the Chinese University of Hong Kong. His current main research interests include graph mining, graph query processing, graph pattern matching, and keywords search in relational databases. Dr. Yu served as an Information Director and a member in ACM SIGMOD executive committee (2007-2011), and an associate editor of IEEE Transactions on Knowledge and Data Engineering

(2004-2008). Currently he serves as an associate editor in VLDB Journal, WWW Journal, the International Journal of Cooperative Information Systems, and the journal on Health Information Science and Systems (HISS). Dr. Yu served/serves in over 280 organization committees and program committees in international conferences/ workshops including PC Co-chair of APWeb04, WAIM06, APWeb/WAIM07, WISE09, PAKDD10, DASFAA11, ICDM12, and NDBC13, and Conference Co-Chair of APWeb13. He has published over 280 papers including papers published in reputed journals and major international conferences including ACM TODS, VLDB J, IEEE TKDE, ACM SIGMOD, VLDB, and ACM SIGKDD.