Haixun Wang

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Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Wei FanTaimei TechnologyVerified email at mobilemd.cn
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Carlo ZanioloProfessor of Computer Science, University of California, Los AngelesVerified email at cs.ucla.edu
Zhongyuan WangFacebookVerified email at fb.com
Yanghua Xiao (肖仰华)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Chang-shing PerngIBM ResearchVerified email at us.ibm.com
Hongsong LiAlibaba GroupVerified email at alibaba-inc.com
Kenny Q. Zhu (朱其立)Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Jeffrey Xu YuChinese University of Hong KongVerified email at se.cuhk.edu.hk
Bin ShaoMicrosoft Research (Beijing, China)Verified email at microsoft.com
Jian PeiProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Yangqiu SongHKUSTVerified email at cse.ust.hk
Xuemin LinChair Professor at Shanghai Jiaotong UniversityVerified email at cse.unsw.edu.au
Min WangGoogle ResearchVerified email at google.com
Wei-Shinn KuProfessor of Computer Science and Software Engineering, Auburn UniversityVerified email at auburn.edu
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Lipyeow LimProfessor of Information & Computer Sciences, University of Hawaii at ManoaVerified email at hawaii.edu
Yun ChiRobinhoodVerified email at robinhood.com

Haixun Wang

VP of Engineering, Algorithm & Distinguished Scientist at Instacart

Verified email at instacart.com - Homepage

Machine Learning Data and knowledge engineering NLP


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mining concept-drifting data streams using ensemble classifiers H Wang, W Fan, PS Yu, J Han Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1878	2003
Probase: A probabilistic taxonomy for text understanding W Wu, H Li, H Wang, KQ Zhu Proceedings of the 2012 ACM SIGMOD international conference on management of …, 2012	992	2012
Managing and mining graph data CC Aggarwal, H Wang Springer, 2010	803	2010
Clustering by pattern similarity in large data sets H Wang, W Wang, J Yang, PS Yu Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002	734	2002
BLINKS: ranked keyword searches on graphs H He, H Wang, J Yang, PS Yu Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007	718	2007
Trinity: A distributed graph engine on a memory cloud B Shao, H Wang, Y Li Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013	679*	2013
Efficient subgraph matching on billion node graphs Z Sun, H Wang, H Wang, B Shao, J Li arXiv preprint arXiv:1205.6691, 2012	481	2012
Landmarks: a new model for similarity-based pattern querying in time series databases CS Perng, H Wang, SR Zhang, DS Parker Proceedings of 16th international conference on data engineering (cat. no …, 2000	464	2000
Landmarks: a new model for similarity-based pattern querying in time series databases CS Perng, H Wang, SR Zhang, DS Parker Proceedings of 16th international conference on data engineering (cat. no …, 2000	464	2000
ViST: a dynamic index method for querying XML data by tree structures H Wang, S Park, W Fan, PS Yu Proceedings of the 2003 ACM SIGMOD international conference on Management of …, 2003	460	2003
/spl delta/-clusters: capturing subspace correlation in a large data set J Yang, W Wang, H Wang, P Yu Proceedings 18th international conference on data engineering, 517-528, 2002	446	2002
Moment: Maintaining closed frequent itemsets over a stream sliding window Y Chi, H Wang, PS Yu, RR Muntz Fourth IEEE International Conference on Data Mining (ICDM'04), 59-66, 2004	444	2004
Enhanced biclustering on expression data J Yang, H Wang, W Wang, P Yu Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings …, 2003	439	2003
A distributed graph engine for web scale RDF data K Zeng, J Yang, H Wang, B Shao, Z Wang Proceedings of the VLDB Endowment 6 (4), 265-276, 2013	402	2013
Natural language question answering over RDF: a graph data driven approach L Zou, R Huang, H Wang, JX Yu, W He, D Zhao Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	319	2014
Dual labeling: Answering graph reachability queries in constant time H Wang, H He, J Yang, PS Yu, JX Yu 22nd International Conference on Data Engineering (ICDE'06), 75-75, 2006	312	2006
Integrity Auditing of Outsourced Data. M Xie, H Wang, J Yin, X Meng VLDB 7, 782-793, 2007	294	2007
Local search of communities in large graphs W Cui, Y Xiao, H Wang, W Wang Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	292	2014
Short text conceptualization using a probabilistic knowledgebase Y Song, H Wang, Z Wang, H Li, W Chen Proceedings of the twenty-second international joint conference on …, 2011	275	2011
KBQA: learning question answering over QA corpora and knowledge bases W Cui, Y Xiao, H Wang, Y Song, S Hwang, W Wang arXiv preprint arXiv:1903.02419, 2019	255	2019

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