中国人民大学信息学院计算机应用技术导师介绍：王海勋

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近期著作：

1、Managing and Mining Graph Data. Springer, 2010.

近期论文：

1.Yangqiu Song, Haixun Wang, Zhongyuan Wang and Hongsong Li, Short Text Conceptualization using a Probabilistic Knowledgebase, in IJCAI, 2011

2.Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang, Reachability Computation in Uncertain Graphs, in VLDB, 2011

3.Ye Yuan, Guoren Wang, Haixun Wang, Lei Chen, Efficient Subgraph Search over Large Uncertain Graphs, in VLDB, 2011

4.Taesung Lee, Zhongyuan Wang, Haixun Wang, Seung-won Hwang, Web Scale Taxonomy Cleansing, in VLDB, 2011

5.Jiuming Huang, Haixun Wang, Yan Jia, and Ariel Fuxman, Link-based Hidden Attribute Discovery for Objects on Web, in International Conference on Extending Database Technology (EDBT), March 2011

6.Ruoming Jin, Yang Xiang, Ruan Ning, and Haixun Wang, Path-Tree: An Efficient Reachability Indexing Scheme for Large Directed Graphs, in ACM Transactions on Database Systems (TODS), 2011

7.Yan-Nei Law, Haixun Wang, and Carlo Zaniolo, Relational Languages and Data Models for Continuous Queries on Sequences and Data Streams, in ACM Transactions on Database Systems (TODS), 2011

8.Mohan Yang, Haixun Wang, Haiquan Chen, and Jeff Ku, Querying Uncertain Data with Aggregate Constraints, in ACM International Conference on Management of Data (SIGMOD), 2011

9.M. A. Cheema, Xuemin Lin, Haixun Wang, Jianmin Wang, and Wenjie Zhang, A Unified Approach for Computing Top-k Pairs in Multidimensional Space, in the 26th International Conference on Data Engineering (ICDE), 2011

10.Peng Wang, Haixun Wang, and Wei Wang, Finding Semantics in Time Series, in ACM International Conference on Management of Data (SIGMOD), 2011

11.Charu Aggarwal and Haixun Wang, On Dimensionality Reduction of Massive Graphs for Indexing and Retrieval, in the 26th International Conference on Data Engineering (ICDE), 2011

王海勋，1972年生，博士，微软亚洲研究院主管研究员，中国人民大学信息学院兼职教授，博士生导师。2000年毕业于加利福尼亚大学洛杉矶分校(UCLA)计算机系，获得博士学位。毕业后在IBM T. J. Watson研究院从事长达9年的研究工作，曾担任副总裁技术助理。2009年加入微软亚洲研究院，领导一个研究小组从事非确定性数据管理及挖掘的研究，开发了概率知识库系统Probase以及分布式图数据库系统Trinity。近年来，在数据库相关领域国际顶尖会议和期刊上发表超过120篇学术论文。多次受邀担任本领域重要国际学术会议（如SIGMOD,VLDB,ICDM,ICMLA）各类职务，并担任TKDE、KAIS和JCST的编委。

社会兼职：

IEEE Transactions on Data Engineering (TKDE) 编委

Knowledge and Information Systems (KAIS) 编委

Journal of Computer Science and Technology (JCST) 编委

PC Co-chair, WAIM 2011

PC Co-chair, ICMLA 2011

English Resume

Haixun Wang received his Ph.D. degree in Computer Science from UCLA in 2000. He joined Microsoft Research Asia in 2009, and he leads research in data managment. Before joining Microsoft, he spent 9 years as a research staff member at IBM T. J. Watson Research Center. From 2006 to 2007, he was a Technical Assistant to Stuart Feldman, Vice President of Computer Science of IBM Research, and from 2008 to 2009, he was a Technical Assistant to Mark Wegman, Head of Computer Science of IBM Research. Haixun Wang’s research interest lies in data management and mining. Currently, he is working on building a large scale knowledge base for advanced applications, including search， document understanding, etc. Haixun Wang is on the editorial board of TKDE (IEEE Transaction on Data Engineering), KAIS (Knowledge and Information Systems), and JCST (Journal of Computer Science and Technology). He is the PC Chair of ICMLA 2011, WAIM 2011, and he served as vice PC chair and senior PC member for various top conferences including SIGKDD, SIAM DM, ICDM, etc. Haixun Wang has published over 120 publications in top international conferences and journals, and he is the recipient of the best student paper runner up award in ICDM 2009, and the best paper award in Internal Conference on Conceptual Modeling 2008.

Homepage:

http://research.microsoft.com/en-us/people/haixunw/