Keynote Speakers


    Philip S. Yu

Philip S. Yu's main research interests include big data, data mining (especially on graph/network mining), social network, privacy preserving data publishing, data stream, database systems, and Internet applications and technologies. He is a Distinguished Professor in the Department of Computer Science at UIC and also holds the Wexler Chair in Information and Technology. Before joining UIC, he was with IBM Thomas J. Watson Research Center, where he was manager of the Software Tools and Techniques department. Dr. Yu has published more than 970 papers in refereed journals and conferences with more than 74,500 citations and an H-index of 127. He holds or has applied for more than 300 US patents.

Dr. Yu is a Fellow of the ACM and the IEEE. He is the recepient of ACM SIGKDD 2016 Innovation Award for his influential research and scientific contributions on mining, fusion and anonymization of big data



    Jeffrey Xu Yu

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 keywords search in relational databases, graph mining, graph query processing, and graph pattern matching. Dr. Yu served/serves in over 300 organization committees and program committees in international conferences/workshops including the PC Co-chair of APWeb’04, WAIM’06, APWeb/WAIM’07, WISE’09, PAKDD’10, DASFAA’11, ICDM’12, NDBC’13, ADMA’14, CIKM’15, and Bigcomp'17.  Dr. Yu served as an Information Director and a member in ACM SIGMOD executive committee (2007-2011), an associate editor of IEEE Transactions on Knowledge and Data Engineering (2004-2008),  an associate editor in VLDB Journal (2007-2013), and the chair of the steering committee in Asia Pacific Web Conference (2013-2016). Currently, he serves as  associate editor in ACM Transactions on Database Systems, WWW Journal, the International Journal of Cooperative Information Systems, the Journal of Information Processing, and Journal on Health Information Science and Systems.

Jeffrey Xu Yu is a member of ACM, a senior member of IEEE, and a member of IEEE Computer Society.



    Ning Zhong

Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Life Science and Informatics at Maebashi Institute of Technology, Japan. He is also director and an adjunct professor in the International Web Intelligence Consortium (WIC) Institute, Beijing University of Technology, China.

Prof. Zhong's present research interests include Web Intelligence (WI), Brain Informatics (BI), Data Mining, Granular Computing, and Intelligent Information Systems. In 2000 and 2004, Zhong and colleagues introduced WI and BI as new research directions, respectively. In 2010, Zhong and colleagues extended such a vision to develop Wisdom Web of Things (W2T) as a holistic framework for computing and intelligence in the big data era. Recently Zhong and colleagues have been working on brain big data based wisdom service project, in which the fundamental issues include how brain informatics based big data interacts in the social-cyber-physical space of the W2T and how to realize human-level collective intelligence as a big data sharing mind, a harmonized collectivity of consciousness on the W2T that uses brain-inspired intelligent technologies to provide wisdom services.



    Chengqi Zhang

Chengqi Zhang has been appointed by the University of Technology Sydney (UTS) as UTS Distinguished Professor on 24 January 2017. He has been appointed as the Executive Director UTS Data Science on 15 September 2016 to look after all researches in Data Science area cross UTS.

Prof. Zhang’s research interests mainly focus on Data Mining and its applications. He has published nearly 300 research papers, including a number of papers in the first-class international journals, such as Artificial Intelligence, IEEE and ACM Transactions. He has published seven monographs and edited 16 books. He has delivered 16 keynote/invited speeches at international conferences. He has attracted 12 Australian Research Council grants. Due to his outstanding research achievements, he had been awarded 2011 NSW Science and Engineering Awards in Engineering, Information and Communications Technology category.

Prof. Zhang is a Fellow of the Australian Computer Society (ACS) and a Senior Member of the IEEE Computer Society (IEEE). Additionally, he served in the ARC College of Experts from 2012 to 2014.



    Zhenyuan Wang

Zhenyuan Wang graduated from Fudan University in 1962. He received his Ph.D. from the Department of Systems Science, State University of New York at Binghamton in 1991. He taught various mathematical courses in Hebei University for many years since 1962, supervised graduate students since 1978, and served as the Chair of the Mathematics Department there from 1985 to 1990. He was a visiting scholar, visiting professor, or research fellow in University Paris VI, Binghamton University (SUNY), the Chinese University of Hong Kong, New Mexico State University, and University of Texas at El Paso during the period from 1979 to 2008. Currently, he is a tenured full professor in the Department of Mathematics, University of Nebraska at Omaha. He received a number of honors and awards including the title of “National expert” from the Chinese National Scientific and Technological Commission in 1986 and the “Citation Classic Award from the Institute for Scientific Information (USA) in 2000. His research interests are nonadditive measures, nonlinear integrals, probability and statistics, optimization, soft computing, and data mining. He is the author or a co-author of about 150 research papers and three monographs: “Fuzzy Measure Theory” (1992), “Generalized Measure Theory” (2008), and “Nonlinear Integrals and Their Applications in Data Mining” (2010).




石勇,教授, 博士生导师,现任中国科学院大学经济与管理学院副院长,中国科学院虚拟经济与数据科学研究中心主任,中国科学院大数据挖掘与知识管理重点实验室主任,中国管理现代化研究会联职理事长;国际信息技术和量化管理学会主席;澳大利亚国家科学机构(CSIRO/ICT)兼职高级研究员。国家杰出青年科学基金获得者,中科院百人计划获得者。学科方向为管理科学与工程,研究方向为数据挖掘、知识管理。 

石勇已出版了23部专著,在80多种国际著名的杂志与其他刊物上发表了300多篇学术论文,其中被SCI/SSCI收录95篇,EI收录109篇。SCI索引1200次,他引830次,h-index36。他被列为Elsevier发布2014中国高被引学者榜单之一。他培养了80多名博士后,博士和硕士。他现在担任"国际信息技术和决策杂志International Journal of Information Technology & Decision Making, SCI)和"数据科学年鉴杂志Annals of Data Science, Springer)的创立主编。 

他先后荣获了国际著名的以集合论创始人命名的康拓学术奖(Georg Cantor Award),中国复旦管理学杰出贡献奖,教育部自然科学奖一等奖,北京市科学技术奖二等奖和四川省科技进步二等奖。美国著名杂志MISQVol . 36 , NO.4, 2012)将石勇列为BI&A(商务智能与分析)全球著名学者第三名。他是中科院百人计划学者和国家基金委杰青获得者、主持了国家自然科学基金创新团队项目(2006-2012)、国家973重大项目课题、国家自然科学基金委跨管理学科与信息学科重点项目、大数据重点项目、国家自然科学基金重大国际/地区合作与交流项目等。




朱扬勇   复旦大学计算机科学技术学院教授、学术委员会主任,上海市数据科学重点实验室主任。1989年开始从事数据领域研究,1996年开始从事数据挖掘研究,2004年开始从事数据科学研究,是国际数据科学研究的主要倡导者之一。2008年提出数据资源,指出数据资源是重要的现代战略资源,提高数据资源开发利用水平、保护国家的战略资源是增强我国综合国力和国际竞争力的必然选择2009年和熊赟教授一起,提出特异群组挖掘,发表“Mining Peculiarity Groups in Day-by-Day Behavioral Datasets”;提出数据界,发表了数据科学论文“Data Explosion, Data Nature and Dataology”,并出版了第一本数据科学专著《数据学》,探索了数据科学的概念和内涵。2010年创办“International Workshop on Dataology and Data Science”2014年和石勇教授、张成奇教授一起创办“International Conference on Data Science”2015年创办数据科学家大会。第462次香山科学会议数据科学与大数据的理论问题探索的执行主席。《大数据技术与应用丛书》主编。2014年和邬江兴院士一起提出大数据试验场2015年提出数据财政