Xingquan (Hill) Zhu - Google Scholar

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	All	Since 2015
Citations	14574	9498
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Co-authors

Xindong WuMininglamp Academy of Sciences; Hefei University of TechnologyVerified email at hfut.edu.cn
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Shirui PanMonash UniversityVerified email at monash.edu
JIA WUMacquarie UniversityVerified email at mq.edu.au
Jianping FanUNC-CharlotteVerified email at uncc.edu
Peng Zhang @ Ant FinancialAnt FinancialVerified email at alibaba-inc.com
Ahmed ElmagarmidExecutive Director, Qatar Computing Research InstituteVerified email at qf.org.qa
Bin LiFudan UniversityVerified email at fudan.edu.cn
Jie (Jessie) YinSenior Lecturer, University of SydneyVerified email at sydney.edu.au
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Yong ShiProfessor of Management, University of Chinese Academy of SciencesVerified email at ucas.ac.cn
Wei DingProfessor of Computer Science, University of Massachusetts Boston; Program Director, NSFVerified email at umb.edu
Walid G. ArefProfessor of Computer Science, Purdue UniversityVerified email at purdue.edu
HongJiang Zhang (张宏江）Sourcecode CapitalVerified email at sourcecodecap.com
Daokun ZhangThe University of Sydney Business SchoolVerified email at sydney.edu.au
Meng FangVerified email at unimelb.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Gongqing WuHefei University of TechnologyVerified email at hfut.edu.cn
Guodong LongUTS: University of Technology SydneyVerified email at uts.edu.au
Dan HeIBM T. J. WatsonVerified email at us.ibm.com

Xingquan (Hill) Zhu

Florida Atlantic University

Verified email at fau.edu - Homepage

Data Mining Data Analytics Machine Learning Multimedia Computing Bioinformatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data mining with big data X Wu, X Zhu, GQ Wu, W Ding Knowledge and Data Engineering, IEEE Transactions on 26 (1), 97-107, 2014	2710	2014
Class noise vs. attribute noise: A quantitative study X Zhu, X Wu Artificial Intelligence Review 22 (3), 177-210, 2004	639	2004
A unified framework for semantics and feature based relevance feedback in image retrieval systems Y Lu, C Hu, X Zhu, HJ Zhang, Q Yang Proceedings of the eighth ACM international conference on Multimedia, 31-37, 2000	342	2000
Eliminating class noise in large datasets X Zhu, X Wu, Q Chen ICML 3, 920-927, 2003	284	2003
Machine learning for android malware detection using permission and api calls N Peiravian, X Zhu Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International …, 2013	263	2013
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	249	2016
A survey on instance selection for active learning Y Fu, X Zhu, B Li Knowledge and information systems, 1-35, 2013	219	2013
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) HJ Zhang, Z Su, X Zhu US Patent 7,111,002, 2006	206	2006
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) HJ Zhang, Z Su, X Zhu US Patent 7,546,293, 2009	205	2009
Knowledge Discovery and Data Mining: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	202	2007
Online feature selection with streaming features X Wu, K Yu, W Ding, H Wang, X Zhu IEEE transactions on pattern analysis and machine intelligence 35 (5), 1178-1192, 2012	180	2012
Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE transactions on Big Data, 2018	179	2018
ClassView: hierarchical video shot classification, indexing, and accessing J Fan, AK Elmagarmid, X Zhu, WG Aref, L Wu IEEE Transactions on Multimedia 6 (1), 70-86, 2004	178	2004
Video data mining: semantic indexing and event detection from the association perspective Z Xingquan, W Xindong, AK Elmagarmid IEEE Transactions on Knowledge and Data Engineering 17 (5), 665-677, 2005	162	2005
Combining proactive and reactive predictions for data streams Y Yang, X Wu, X Zhu Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	140	2005
Active learning from stream data using optimal weight classifier ensemble X Zhu, P Zhang, X Lin, Y Shi Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 40 …, 2010	134	2010
Mining in anticipation for concept change: Proactive-reactive prediction in data streams Y Yang, X Wu, X Zhu Data mining and knowledge discovery 13 (3), 261-289, 2006	117	2006
Categorizing and mining concept drifting data streams P Zhang, X Zhu, Y Shi Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	113	2008
InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval X Zhu, AK Elmagarmid, X Xue, L Wu, AC Catlin IEEE Transactions on Multimedia 7 (4), 648-666, 2005	106	2005
Active learning from data streams X Zhu, P Zhang, X Lin, Y Shi Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on, 757-762, 2007	105	2007

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