Ph.D. in Computer Science & Technology, Tsinghua University, Beijing, China, 2006.
TKDD: Executive Editor-in-Chief；
IEEE TKDE, ACM TIST, IEEE TBD, Science China: Editorial Board Member;
China Computer Federation Technical Committee on Chinese Information Technology: Vice Chair；
Chinese Information Processing Society of China- Social Media Processing Committee of (CIPS-SMP)：Secretary General；
KDD 2018：Vice Chair；
WWW 2018, CIKM 2016, WSDM 2015, ASONAM 2015: Program Committee Chair；
Areas of Research Interests/ Research Projects
1、Areas of Research Interests-
AI, social network, data mining, machine learning, knowledge graph
 The National Science Fund for Distinguished Young Scholars: Knowledge Discovery in Database and Knowledge Engineering (2019-2023);
 National Natural Science Foundation of China and Royal Society International Joint Research: Discovering Object Patterns Arising from Heterogeneous, Evolutionary and Large-Scale Online Social Networks (2015-2017);
 National High-tech R&D Program (863 Program): Group Behavior Analysis and Event Situation Perception Technology Based on Behavioral Psychodynamic Models (2014-2016);
 The National Science Fund for Excellent Young Scholars: Knowledge Discovery in Database and Knowledge Engineering (2013-2015);
 International Joint Project with IBM: Social Search in Web Community (2007-2011);
 National Natural Science Foundation of China: Web-based Social Network Theory and Methodologies (2010-2013);
 National High-tech R&D Program (863 Program): XML Data Integration and Search using Probabilistic Models (2009-2010);
 National Natural Science Foundation of China: Research on Unified Models for Semantic Content Annotation (2008-2010).
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 research group addresses fundamental problems in social network analysis, data mining, and semantic web.
I am recently working on representation learning on networks, social network mining, academic knowledge graph and AI driven MOOCs.
My research group has developed an academic search and mining system: ArnetMiner— also referred to as AMiner. It has collected a large scholar dataset, with more than 130,000,000 researcher profiles and more than 200,000,000 papers from multiple publication databases. AMiner offers a set of researcher-centered functions, including social influence analysis, collaboration recommendation, relationship mining, similarity analysis, and community evolution. The system has been in operation since 2006 and has attracted more than 8,320,000 independent IP accesses from over 220 countries/regions.
Another real system we recently launched is xuetangx.com for Massive Open Online Course (MOOC) hosting. In this system, we systematically study how students influence others’ study behavior, and how different formations of groups help improve learning quality. To date, the system has more than 10,000,000 registered users.
Honors And Awards
2018 NSFC Distinguished Young Scholar
2017 First Prize of Beijing Science and Technology
2016 Microsoft Research Asia Collaborative Research Award
2015 Newton Advanced Fellowship Award
2013 First Prize of Chinese Association of AI (CAAI)
2012 CCF Young Scientist Award
2012 NSFC Excellent Young Scholar
2011 Beijing Science and Technology Star
2011 SCOPUS National Youth Science Star
2010 IBM Scalable Data Analytics Innovation Faculty Award.
2010 Tsinghua Academic New Star Award
2011 Best employee of Tsinghua University.
The 2006 Excellent PhD Thesis of Tsinghua University
 Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, and Jie Tang. NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. In Proceedings of the Web Conference 2019 (WWW'19) (accepted) [PDF]
 Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, and Maosong Sun. Bandit Learning with Implicit Feedback. In Proceedings of the Thirty-Second Annual Conference on Neural Information Processing Systems (NIPS'18). [PDF]
 Jie Tang, Tiancheng Lou, Jon Kleinberg, and Sen Wu. Transfer Learning to Infer Social Ties across Heterogeneous Networks. ACM Transactions on Information Systems (TOIS), 2016, Volume 34, Issue 2, Article No. 7. (if =1.3) [PDF] [Data&Code]
 Jing Zhang, Zhanpeng Fang, Wei Chen, and Jie Tang. Diffusion of "Following" Links in Microblogging Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2015, Volume 27, Issue 8, Pages 2093-2106. [PDF]
 Jie Tang, Sen Wu, and Jimeng Sun. Confluence: Conformity Influence in Large Social Networks. In Proceedings of the Ninteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), pages 347-355. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Data&Code]
 Tiancheng Lou and Jie Tang. Mining Structural Hole Spanners Through Information Diffusion in Social Networks. In Proceedings of the Twenty-Second World Wide Web Conference (WWW'13), pages 837-848. [PDF] [Slides_PPT] [Slides_PDF] [Data&Code]
 Jie Tang, Sen Wu, Jimeng Sun, and Hang Su. Cross-domain Collaboration Recommendation. In Proceedings of the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12), pages 1285-1293. [PDF] [Slides_PDFSlides_PPT] [Poster] [Data&Code] [System] [Video]
 Jie Tang, A.C.M. Fong, Bo Wang, and Jing Zhang. A Unified Probabilistic Framework for Name Disambiguation in Digital Library. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2012, Volume 24, Issue 6, Pages 975-987. (if =2.236) [PDF] [Data]
 Jie Tang, Jimeng Sun, Chi Wang, and Zi Yang. Social Influence Analysis in Large-scale Networks. In Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09), pages 807-816. [PDF] [Slides] [Data] [Code]
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), pages990-998. [PDF] [Slides] [System] [API] [Citation Data] [DBLP Citation Data][Author-Conference-Topic (ACT) Model (source code)][More Data] (Top 3 cited papers among all KDD 2008's papers,More...)