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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>Hi guys,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Please go to this talk this afternoon!<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Kenny<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:18.75pt'><span style='font-size:14.0pt;font-family:SimSun;color:black'>Title: Scalable Processing of Big Graphs<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:14.0pt;font-family:SimSun;color:black'>Speaker: Xuemin Lin, UNSW<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:14.0pt;font-family:SimSun;color:black'>Time: 2 PM, Monday, July 6<o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:14.0pt;font-family:SimSun;color:black'>Venue: SEIEE-03-410<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Times New Roman",serif;color:black'>Abstract: Graphs are very important parts of Big Data and widely used for modeling complex structured data with a broad spectrum of applications such as biochemistry, bioinformatics, web search and social network, road network, etc. Over the last decade, tremendous research efforts have been devoted to many fundamental problems in managing and analyzing graph data. In this talk, I will present our recent series work in developing scalable techniques for processing primitive graph operators. <o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:18.75pt'><span style='font-size:14.0pt;font-family:SimSun;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;line-height:18.75pt'><!--[if gte vml 1]><v:shapetype id="_x0000_t75" coordsize="21600,21600" o:spt="75" o:preferrelative="t" path="m@4@5l@4@11@9@11@9@5xe" filled="f" stroked="f">
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</v:shape><![endif]--><![if !vml]><img width=423 height=326 src="cid:image002.jpg@01D0B7BB.1FDC6810" align=left hspace=12 alt=P1070340 v:shapes="Picture_x0020_1"><![endif]><span lang=ZH-CN style='font-family:SimSun'>林学民，新南威尔士大学计算机科学及工程学院教授、数据库研究实验室主任、新南威尔士大学的首席教授</span>--- Sciential Professor<span lang=ZH-CN style='font-family:SimSun'>。林学民教授长期从事数据库理论、算法与技术研究</span>, <span lang=ZH-CN style='font-family:SimSun'>主要工作领域是时空数据和流数据的查询、图和文本的匹配查询、不确定数据的概化查询及图数据可视化等。林学民教授曾是顶级期刊</span>ACM Transactions on Database Systems <span lang=ZH-CN style='font-family:SimSun'>的编委（</span>Jan 2008- Jan 2014<span lang=ZH-CN style='font-family:SimSun'>）。目前是顶级期刊</span>IEEE Transactions on Knowledge and Data Engineering <span lang=ZH-CN style='font-family:SimSun'>的副主编（</span>Associated Editor in Chief<span lang=ZH-CN style='font-family:SimSun'>），并多次应邀担任</span>SIGMOD, VLDB, ICDE, KDD <span lang=ZH-CN style='font-family:SimSun'>等顶级会议的程序委员。近年来在数据库等相关领域的顶级国际学术会议（</span>SIGMOD<span lang=ZH-CN style='font-family:SimSun'>，</span>VLDB<span lang=ZH-CN style='font-family:SimSun'>，</span>KDD<span lang=ZH-CN style='font-family:SimSun'>，</span>ICDE, SIGIR<span lang=ZH-CN style='font-family:SimSun'>）与国际顶级期刊（</span>ACM TODS<span lang=ZH-CN style='font-family:SimSun'>，</span>VLDB J<span lang=ZH-CN style='font-family:SimSun'>，</span>IEEE TKDE <span lang=ZH-CN style='font-family:SimSun'>等）上共发表了</span>100<span lang=ZH-CN style='font-family:SimSun'>余</span><span lang=ZH-CN> </span><span lang=ZH-CN style='font-family:SimSun'>篇学术论文</span>(15 X SIGMOD<span lang=ZH-CN style='font-family:SimSun'>，</span>17 X VLDB<span lang=ZH-CN style='font-family:SimSun'>，</span>33 X ICDE, 4 X SIGIR<span lang=ZH-CN style='font-family:SimSun'>，</span>1 X KDD, 1 x IJCAI<span lang=ZH-CN style='font-family:SimSun'>论文，</span>16 X IEEETKDE<span lang=ZH-CN style='font-family:SimSun'>，</span>10 X VLDB journal<span lang=ZH-CN style='font-family:SimSun'>，</span> 5 X ACMTODS)<span lang=ZH-CN style='font-family:SimSun'>。林学民教授累计在数据库领域重要的国际学术会议和国际学术期刊发表并录用了</span>240 <span lang=ZH-CN style='font-family:SimSun'>余篇论文，其中</span> 14 <span lang=ZH-CN style='font-family:SimSun'>篇国际会议优秀论文。他在关键字查询方面的科研成果分别获得了国际顶级会议</span>ICDE<span lang=ZH-CN style='font-family:SimSun'>’</span>07<span lang=ZH-CN style='font-family:SimSun'>上的优秀学生论文奖（</span>Best Student Award<span lang=ZH-CN style='font-family:SimSun'>）和被列为国际顶级刊物</span>IEEE TKDE 2011<span lang=ZH-CN style='font-family:SimSun'>年</span>12<span lang=ZH-CN style='font-family:SimSun'>月份的</span>Spotlight Paper<span lang=ZH-CN style='font-family:SimSun'>；在时空数据实时连续监控查询方面的科研成果被分别评为国际顶级会议</span>ICDE<span lang=ZH-CN style='font-family:SimSun'>’</span>10<span lang=ZH-CN style='font-family:SimSun'>和</span>ICED<span lang=ZH-CN style='font-family:SimSun'>’</span>12<span lang=ZH-CN style='font-family:SimSun'>上的优秀论文（</span>One of the Best Papers<span lang=ZH-CN style='font-family:SimSun'>）；在文本数据质量管理方面的科研成果被评为国际顶级会议</span>SIGMOD<span lang=ZH-CN style='font-family:SimSun'>’</span>11 <span lang=ZH-CN style='font-family:SimSun'>上的优秀论文（</span>One of the Best Papers<span lang=ZH-CN style='font-family:SimSun'>）。</span><span lang=ZH-CN> </span><span lang=ZH-CN style='font-family:SimSun'>他于</span>2010<span lang=ZH-CN style='font-family:SimSun'>年入选国家第四批“千人计划”。</span><span style='font-size:10.5pt'><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>