计算机科学与技术系

Department of Computer Science and Technology

Education background

Ph.D. in Computer Science & Technology, Tsinghua University, Beijing, China, 2006.

Social service

ACM TKDD, TIST: Guest Editor;

JSW, SWJ, JAIT: Editorial Board Member;

Web Intelligence 2010: Vice Program Chair (2010);

KDD-LDMTA 2010, ICDM-LDMTA 2009-2010, WWW-SWSM 2008, CIKM-SWSM 2009: Co-Chair (2008-2010);

KDD 2010, SIGIR 2009-2010, WWW 2010, ACL 2010, COLING 2010: PC Member (2009-2010).

Areas of Research Interests/ Research Projects

Social Networking Mining, Social Influence Analysis, Learning over Heterogeneous Networks

Data Mining, Semantic Web

National Natural Science Foundation of China: Research on Unified Models for Semantic Content Annotation (2008-2010);

National Natural Science Foundation of China: Web-based Social Network Theory and Methodologies (2010-2013);

National 863 High-Tech Program: XML Data Integration and Search using Probabilistic Models (2009-2010);

International Joint Project with IBM: Social Search in Web Community (2007-2011);

International Joint Project with Nokia: Ontology-based Context Modeling and Management on Mobile Devices (2009-2011).

Research Status

My research group addresses fundamental problems in social network analysis, data mining, and semantic web. In particular, I focus on modeling social network, tracking users' behaviors, and understanding the evolution of network structures. I have been a visiting scholar at University of Illinois at Urbana-Champaign, the Chinese University of Hong Kong, Hong Kong University of Science and Technology, and Leuven University. I am the principle investigator of several national projects and international joint fundings.

My current research topics mainly include: 1) Semantic information extraction and integration on the Web. We have proposed various methods for semantic information extraction, which are currently successfully used in several practical applications. 2) Topic-level ranking over heterogeneous networks. In contrast to traditional keyword-based search and object-oriented search, our topic-level search aims at understanding the underlying semantics of documents and queries, and matching them at the topic level. 3) Social action tracking and influence analysis. We have proposed a method to gain insight into the micro-level dynamics of social networks such as how an individual user influences his/her behaviors (actions). To the best of our knowledge, we are the first to quantify social influence and analyze the correlation between influence and social actions.

My research group has developed an academic search system named Arnetminer (http://arnetminer.org), in which we aim to provide comprehensive services for academic communities. Currently, the system contains information of over 1 million researchers, 3 million academic papers (including 1 million full papers), and 8 thousand conferences. Services such as expertise search, citation tracing analysis, topical graph search, and topic browser are provided in Arnetminer. The system is in operation on the internet for four years and has received a large amount of accesses from 190 countries. We have applied for 7 patents based on the technologies developed in this system.

Honors And Awards

SIMagine: Telcel Award (2007).

Academic Achievement

[1] J. Tang, J. Zhang, R. Jin, Z. Yang, K. Cai, L. Zhang, and Z. Su. Topic Level Expertise Search over Heterogeneous Networks. Machine Learning Journal, (to appear).

[2] J. Tang, L. Yao, D. Zhang, and J. Zhang. A Combination Approach to Web User Profiling. ACM Transactions on Knowledge Discovery from Data, (to appear).

[3] J. Li, J. Tang, Y. Li, and Q. Luo. RiMOM: A Dynamic Multi-Strategy Ontology Alignment Framework. IEEE Transaction on Knowledge and Data Engineering. August 2009 (vol. 21 no. 8) pp. 1218-1232.

[4] J. Tang, J. Li, B. Liang, X. Huang, Y. Li, and K. Wang. Using Bayesian Decision for Ontology Mapping. Journal Web Semantics, Vol., no. 4, pp.243-262, Dec. 2006.

[5] C. Tan, J. Tang, J. Sun, Q. Lin, and F. Wang. Social Action Tracking via Noise Tolerant Time-varying Factor Graphs. Proc. of 16th Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD 2010), Washington, DC, 2010.

[6] C. Wang, J. Han, Y. Jia, D. Zhang, Y. Yu, J. Tang, and J. Guo. Mining Advisor-Advisee Relationships from Research Publication Networks. Proc. of 16th Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD 2010), Washington, DC, 2010.

[7] J. Tang, J. Sun, C. Wang, and Z. Yang. Social Influence Analysis in Large-scale Networks. Proc. of 15th Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD 2009).Paris, France, 2009, pp. 807-816.

[8] J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. ArnetMiner: Extraction and Mining of Academic Social Networks. Proc. of 14th Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD 2008). Henderson, Nevada, 2008, pp.990-998.

[9] J. Tang, H. Li, Y. Cao, and Z. Tang. Email Data Cleaning. Proc. of 11th Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD 2005), Chicago, Illinois, USA, 2005, pp. 489-499.

[10] J. Tang, H. Leung, Q. Luo, D. Chen, and J. Gong. Towards Ontology Learning from Folksonomies. Proc. of 21st Intl. Conf. on Artificial Intelligence (IJCAI 2009), Pasadena, California, pp. 2089-2095.

[11] Q. Zhong, H. Li, J. Li, G. Xie, J. Tang, and L. Zhou. A Gauss Function based Approach for Unbalanced Ontology Matching. Proc. of 21st Intl. Conf. on Management of Data (SIGMOD 2009), Providence, Rhode Island, 2009, pp.669-680.

[12] C. Zhu, J. Tang, H. Li, H. T. Ng, and T. Zhao. A Unified Tagging Approach to Text Normalization. Proc. of 45th Intl. Conf. of the Association of Computational Linguistics (ACL 2007), Prague, Czech Republic, 2007 pp. 688-695