: 会议首页
: 组织机构
: 特邀专家
: 会议日程
: 顶会交流NEW
: 食宿安排
: 赞助支持
: 参会通知
: 会议地点
: 会议文集
: 以往会议
: 会议照片




技术问题,请联系网站管理员

© LAMDA 2005-2015


特邀报告专家:(按姓氏拼音排序)

耿    新 教授 [Homepage]
东南大学计算机科学与工程学院
耿新,现为东南大学计算机科学与工程学院教授、博导、副院长,东南大学模式学习与挖掘(PALM)实验室(http://palm.seu.edu.cn/)主任。主要从事模式识别、机器学习、计算机视觉等方面的研究。主持多项国家自然科学基金项目,江苏省杰出青年基金获得者。在重要国际学术期刊和会议发表论文40余篇。现为CCF青年工作委员会委员兼秘书,江苏省计算机学会理事、青年工作委员会主任,CCF YOCSEF南京分论坛主席,CCF人工智能与模式识别专委会、计算机视觉专业组委员,中国人工智能学会机器学习专委会、模式识别专委会委员,江苏省计算机学会/微型电脑应用协会人工智能专委会常委,澳大利亚科学与工业捐赠基金(SIEF)项目评阅人,《Frontiers of Computer Science》青年编委。


李    涛 教授 [Homepage]
Florida International University
Dr. Tao Li is currently a full professor in the School of Computer Science, Florida International University. He received his Ph.D. in computer science from the Department of Computer Science, University of Rochester in 2004. He was a recipient of NSF CAREER Award (2006-2010) and multiple IBM Faculty Research Awards (2005, 2007 & 2008). In 2009, he received FIU's Excellence in Research and Creativities Award. In 2010, he received IBM Scalable Data Analytics Innovation Award. He received the inaugural Graduate Student Mentorship Award from the College of Engineering and Computing at FIU in 2011. He is on the editorial board of ACM Transactions on Knowledge Discovery from Data (ACM TKDD), IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), and Knowledge and Information System Journal (KAIS).


林宙辰 教授 [Homepage]
北京大学智能科学系
Zhouchen LIN received the Ph.D. degree in applied mathematics from Peking University in 2000. He is currently a Professor with the Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University. His research interests include computer vision, image processing, machine learning, pattern recognition, and numerical optimization. He is an area chair of CVPR 2014, ICCV 2015, NIPS 2015, and AAAI 2016. He is an Associate Editor of the IEEE Transactions on Pattern Analysis And Machine Intelligence and the International Journal of Computer Vision.


刘铁岩 博士 [Homepage]
微软亚洲研究院
Tie-Yan Liu is a principal researcher and research manager at Microsoft Research Asia, an adjunct professor of Carnegie Mellon University (LTI), and an honorary professor of University of Nottingham. His research interests include artificial intelligence, machine learning, information retrieval, data mining, computational advertising, and algorithmic game theory. He is well known for his pioneer work on learning to rank. He has authored the first book in this area and published tens of impactful papers on both algorithms and theories of learning to rank (with over 9000 citations in the past few years). He has also published extensively on other topics. In particular, his paper on graph mining won the best student paper award of SIGIR (2008); his paper on video shot boundary detection won the most cited paper award of the Journal of Visual Communication and Image Representation (2004-2006); and his work on Internet economics won the research break-through award of Microsoft Research Asia (2012). Tie-Yan is very active in serving the research community. He is a program committee co-chair or area chair of many conferences including ACML (2015), WINE (2014), AIRS (2013), AAAI (2016), NIPS (2015), KDD (2015), ACML (2014), SIGIR (2008-2011), AIRS (2009-2011), IJCAI (2013, 2015), and WWW (2011, 2015). He is an associate editor of ACM Transactions on Information System (TOIS), an editorial board member of Information Retrieval Journal (INRT) and Foundations and Trends in Information Retrieval (FnTIR). He is a senior member of the IEEE and the ACM, as well as a senior member and distinguished speaker of the CCF. He is also an adjunct professor/PhD supervisor of several universities in China, including Nankai University, Sun Yat-Sen University, and University of Science and Technology of China.


孟德宇 副教授 [Homepage]
西安交通大学
孟德宇,博士,西安交通大学数学与统计学院副教授,博导。 曾于2006年赴英国Essex大学进行学术访问,于2009年赴香港中文大学进行博士后研究,2012-2014年赴卡内基梅隆大学进行学术合作。在TIP, TKDE, TSMCB, TNNLS, PR, Neural Computation等国际期刊与CVPR, ICCV, ECCV, AAAI, ICML, NIPS, ACM MM等国际学术会议发表论文多篇。担任ICML, NIPS, CVPR, ICCV, ACM MM, AAAI等会议程序委员会委员。2010年获陕西省青年科技奖,陕西省优秀博士论文奖。目前主要聚焦于机器学习、数据挖掘、计算机视觉、多媒体分析等方面的研究。


Prof. Stephen Muggleton [Homepage]
Imperial College
RAE/MSR Chair Professor, 帝国理工学院英国工程院院士,AAAI fellow, IET fellow, BCS fellow.
Stephen Muggleton is Director of the Syngenta University Innovation Centre at Imperial College and holds a Royal Academy of Engineering/Syngenta Research Chair. He received his BSc in Computer Science at the University of Edinburgh in 1982. His PhD research, on the topic Inductive Acquisition of Expert Knowledge was carried out at Edinburgh University under the supervision of Prof. Donald Michie He was awarded his PhD in 1986. During the period 1986-1990 he was a Turing Institute Research Fellow. In 1990 he was awarded a British SERC Postdoctoral Fellowship. In 1993 he was awarded a 5-year EPSRC Adanced Research Fellowship at Oxford University Computing Laboratory, where he founded and headed the Machine Learning Research Group. During the same year he took up an invitation to the Fujitsu Chair as Visiting Associate Professor at the University of Tokyo. While working at the University of Oxford he was awarded honorary MA status, elected Research Fellow at Wolfson College and was tutor at Corpus Christi College. In 1997 he was made Reader by the Distinctions Committee of the University of Oxford. In October 1997 he took up the Chair of Machine Learning at the University of York and set up and headed a new research group for the University. In July 2001 he took up the Joint Research Council Funded Chair of Computational Inference and Bioinformatics at the Department of Computing, Imperial College. He was elected a Fellow of the American Association for Artificial Intelligence in 2002. In 2005 he became Director of Modelling at the new Centre for Integrative Systems Biology at Imperial College (CISBIC) and in 2008 was elected as both a Fellow of the Institution of Engineering and Technology (IET) and a Fellow of the British Computer Society (BCS). In 2010 he was elected a Fellow of the Royal Academy of Engineering. In 2011 he was elected a board member of the International Machine Learning Society and a Fellow of the Society for Biology. In 2014 he was elected as a Fellow of ECCAI.


苏文藻 教授 [Homepage]
香港中文大学
Anthony Man-Cho So received his BSE degree in Computer Science from Princeton University in 2000 with minors in Applied and Computational Mathematics, Engineering and Management Systems, and German Language and Culture. He then received his MSc degree in Computer Science in 2002, and his PhD degree in Computer Science with a PhD minor in Mathematics in 2007, all from Stanford University. Dr. So joined The Chinese University of Hong Kong (CUHK) in 2007. He currently serves as Assistant Dean of the Faculty of Engineering and is an Associate Professor in the Department of Systems Engineering and Engineering Management. He also holds a courtesy appointment as Associate Professor in the CUHK-BGI Innovation Institute of Trans-omics. His recent research focuses on the interplay between optimization theory and various areas of algorithm design, such as computational geometry, signal processing, bioinformatics, stochastic optimization, combinatorial optimization, and algorithmic game theory.
At present, Dr. So serves on the editorial boards of Optimization Methods and Software, Mathematics of Operations Research, IEEE Transactions on Signal Processing, and Journal of Global Optimization. He received the 2010 Optimization Prize for Young Researchers from the Optimization Society of the Institute for Operations Research and the Management Sciences (INFORMS), and the 2010 Young Researcher Award from CUHK. He also received the 2008 Exemplary Teaching Award and the 2011 and 2013 Dean's Exemplary Teaching Award from the Faculty of Engineering at CUHK, and the 2013 Vice-Chancellor's Exemplary Teaching Award from CUHK.


徐增林 教授 [Homepage]
电子科技大学
徐增林,电子科技大学教授、博士生导师,中组部“青年千人计划”、“四川省千人计划”入选者,现任电子科技大学大数据研究中心数据挖掘与推理研究所所长。徐增林教授主要研究兴趣为机器学习及其在社会网络分析、互联网、计算生物学、信息安全等方面的应用。他在包括NIPS, ICML, IJCAI, AAAI, UAI, CIKM, ICDM, IEEE TPAMI, IEEE TNN在内的顶级会议和刊物发表论文30多篇,引用近千次,发表专著2部,并于2012年在多伦多召开的国际人工智能大会(AAAI)上做教学报告。


杨    健 教授 [Homepage]
南京理工大学
杨健,长江学者,国家杰青。2002年7月博士毕业于南京理工大学计算机学院模式识别专业。自2003年起,先后在西班牙萨拉戈萨大学、香港理工大学、美国新泽西理工学院、加州理工学院从事博士后或访问研究。2007年9月起任南京理工大学计算机学院教授。长期从事模式识别理论与应用方面的研究,先后主持了国家自然科学基金面上项目,国家杰出青年科学基金项目,教育部科学技术研究重大项目,国家973课题等项目。在IEEE Transactions及Pattern Recognition等国际SCI源期刊上发表论文70余篇。SCI被引用3000余次,Google Scholar被引用8000余次。担任国际SCI源学术期刊的IEEE Trans. on Neural Networks and Learning Systems和Pattern Recognition Letters的编委。曾获国家自然科学二等奖(第二完成人);江苏省科技进步一等奖(第二完成人);教育部科技进步奖(推广类)二等奖(第二完成人);第十一届中国青年科技奖;第二届“SCOPUS寻找青年科学之星”成长奖;国务院政府特殊津贴;入选国家百千万人才工程,被授予“有突出贡献中青年专家”称号。


杨    强 教授 [Homepage]
香港科技大学
杨强,香港科技大学计算机系教授。他是AAAI Fellow, IEEE Fellow, AAAS Fellow, IAPR Fellow和ACM杰出科学家。主要研究兴趣是人工智能和数据挖掘。杨强于1982年毕业于北京大学天体物理专业,获得学士学位。分别于1985年和1987年毕业于美国马里兰大学的计算机系和天文学系,获得双硕士学位。于1989年毕业于马里兰大学计算机系,获得计算机博士学位。自1989年到 1995先后任滑铁卢大学的助理教授和副教授,1995年到2001年在加拿大西蒙·弗雷泽(Simon Fraser)大学先后任副教授,正教授一职,同期担任NSERC工业研究主任。自2001年,在香港科技大学先后任副教授,正教授一职。他出版过三本书,发表了300多篇关于人工智能和数据挖掘的论文。在2004年和2005年,他指导的队伍赢得了KDDCUP等比赛的冠军。他曾受WSDM2013, SDM2012, IJCAI 2009, ACL 2009 和ACML 2009等著名国际会议的邀请在会议上做主题演讲。在2010年7月,当选为ACM 人工智能协会(SIGART)的副主席。杨强是多本国际期刊的编委,是ACM TIST的创始主编,是IEEE Intelligent Systems,IEEE TKDE (2005-2009),AI Magazine 等期刊的编委。此外,他也是很多人工智能和数据挖掘相关会议的组织者以及程序联合主席,如 2012年在北京举办的ACM 国际数据挖掘大会(KDD) 的会议主席,以及ACM KDD 2010,ACM RecSys 2013, ACM IUI 2010 等会议的主席。他是国际人工智能大会(IJCAI) 的董事会成员和2015年在阿根廷举办 IJCAI 会议的程序委员会主席。


张长水 教授 [Homepage]
清华大学
张长水 男,1965 年出生,1986 年7 月毕业于北京大学数学系,获得学士学位。1992年7 月毕业于清华大学自动化系,获得博士学位。1992 年7 月至今在清华大学自动化系工作。现任清华大学自动化系教授、博士生导师,主要研究兴趣包括:机器学习、模式识别、计算视觉等方面。目前是计算机学会高级会员;担任学术期刊:”Pattern Recognition”, “计算机学报”,”自动化学报”等编委;在国际期刊发表论文100多篇,在顶级会议上发表论文50多篇。


张利军 副教授 [Homepage]
南京大学
张利军博士分别于2007年6月和2012年6月在浙江大学获工学学士和工学博士学位;分别于2011年6月至12月、2012年8月至2014年4月,以访问学生、博士后身份在美国密歇根州立大学计算机科学与工程系访问研究;于2014年4月加入南京大学计算机科学与技术系。主要研究方向为大规模机器学习及优化,在国际学术会议和期刊上发表论文近40篇。曾获浙江大学“竺可桢奖学金”、南京大学“登峰人才支持计划”、第26届AAAI人工智能国际会议“最佳论文”等荣誉。