Xingquan (Hill) Zhu

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Xindong WuHefei University of TechnologyVerified email at hfut.edu.cn
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Shirui PanFull Professor, ARC Future Fellow, FQA, Griffith UniversityVerified email at griffith.edu.au
JIA WUMacquarie UniversityVerified email at mq.edu.au
Peng ZhangProfessor, Guangzhou UniversityVerified email at gzhu.edu.cn
Ahmed ElmagarmidExecutive Director, Qatar Computing Research InstituteVerified email at qf.org.qa
A/Prof. Jie YinUniversity of SydneyVerified email at sydney.edu.au
Bin LiFudan UniversityVerified email at fudan.edu.cn
Yong ShiProfessor, College of Information Science and Technology, University of Nebraska at OmahaVerified email at unomaha.edu
Wei DingProfessor of Computer Science, University of Massachusetts Boston; Program Director, NSFVerified email at umb.edu
Daokun ZhangMonash UniversityVerified email at monash.edu
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
HongJiang Zhang (张宏江）Sourcecode CapitalVerified email at sourcecodecap.com
Yufei TangFlorida Atlantic UniversityVerified email at fau.edu
Min ShiHarvard UniversityVerified email at meei.harvard.edu
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology SydneyVerified email at uts.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Ting GuoUniversity of Technology, SydneyVerified email at uts.edu.au
Youxi WuHebei University of TechnologyVerified email at scse.hebut.edu.cn

Xingquan (Hill) Zhu

IEEE Fellow, Dept. of Electrical Eng. and Comp. Science, 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	3765	2014
Class noise vs. attribute noise: A quantitative study X Zhu, X Wu Artificial Intelligence Review 22 (3), 177-210, 2004	962	2004
Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE Transactions on Big Data 6, 3-28, 2020	608	2020
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	444	2013
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	442	2016
A survey on instance selection for active learning Y Fu, X Zhu, B Li Knowledge and information systems, 1-35, 2013	379	2013
Eliminating class noise in large datasets X Zhu, X Wu, Q Chen ICML 3, 920-927, 2003	342	2003
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
Mgae: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	309	2017
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	306	2012
Dropout vs. batch normalization: an empirical study of their impact to deep learning C Garbin, X Zhu, O Marques Multimedia Tools and Applications, 1-39, 2020	254	2020
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) HJ Zhang, Z Su, X Zhu US Patent 7,111,002, 2006	236	2006
Knowledge Discovery and Data Mining: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	227	2007
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	193	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	175	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	162	2010
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	159	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	140	2007
Mining with noise knowledge: error-aware data mining X Wu, X Zhu Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions …, 2008	132	2008
Categorizing and mining concept drifting data streams P Zhang, X Zhu, Y Shi Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	131	2008

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