新闻中心
网站首页   学会概况   学会规章   新闻中心   学术交流
社会服务   科学普及  计算机大赛   会员中心   联系方式
一键拨号
一键留言
会员中心
通知公告
学术报告 Web and Data Engineering Research at Swinburne
2019-12-06

计算机软件新技术国家重点实验室

摘 要:

In the era of big data, we face the challenge on how to find effective and efficient solutions for managing, integrating and analyzing complex data with high volume, variety and velocity. In this talk, I will introduce the research we have been carrying out in the Web and Data Engineering group at Swinburne University in Australia. In particular, I will introduce some of our work on keyword search over structured data, community search over large networks, and advanced query processing and refinement supported by several ARC (Australia Research Council) discovery projects.

报告人简介:

Chengfei Liu is a Professor and the head of Web and Data Engineering research group in the Department of Computer Science and Software Engineering at Swinburne University of Technology, Australia. He received the BS, MS and PhD degrees in Computer Science from Nanjing University in 1983, 1985 and 1988, respectively. Prior to joining Swinburne, he taught at the University of South Australia, the University of Technology Sydney, and the University of Queensland. He also held visiting positions at the Chinese University of Hong Kong, the University of Aizu in Japan, and IBM Silicon Valley Lab in USA. His current research interests include graph data management over large networks, keyword search on structured data, query processing and refinement for advanced database applications, and data-centric workflows. He has attracted around 6.5 million dollars in competitive research grants (mostly awarded by the Australia Research Council – ARC) and published more than 230 papers in prestigious journals and conference proceedings, such as ACM TODS, IEEE TKDE, VLDB Journal, SIGMOD, VLDB, ICDE, WWW, EDBT, WSDM, CIKM. He has also served in over 130 organization committees and program committees in international conferences, including SIGMOD, VLDB, ICDE, EDBT, CIKM, ICDM, and ICSOC.

时间:12月10日  10:30-11:30

地点:计算机科学技术楼230室


上一篇:计算机软件专业委员会学术年会
下一篇:青年学者学术报告 Practical Secure Multi-Party Computation with Applications to Privacy-Preserving Machine Learning
版权所有:江苏省计算机学会
苏ICP备14049275号-1