Xingquan (Hill) Zhu

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Xindong WuHefei University of TechnologyAdresse e-mail validée de hfut.edu.cn
Chengqi ZhangProfessor of Information TechnologyAdresse e-mail validée de uts.edu.au
Shirui PanProfessor and ARC Future Fellow, Griffith UniversityAdresse e-mail validée de griffith.edu.au
JIA WUMacquarie UniversityAdresse e-mail validée de mq.edu.au
Peng ZhangProfessor, Guangzhou UniversityAdresse e-mail validée de gzhu.edu.cn
Ahmed ElmagarmidExecutive Director, Qatar Computing Research InstituteAdresse e-mail validée de qf.org.qa
A/Prof. Jie YinUniversity of SydneyAdresse e-mail validée de sydney.edu.au
Bin LiFudan UniversityAdresse e-mail validée de fudan.edu.cn
Yong ShiProfessor, College of Information Science and Technology, University of Nebraska at OmahaAdresse e-mail validée de unomaha.edu
Wei DingProfessor of Computer Science, University of Massachusetts Boston; Program Director, NSFAdresse e-mail validée de umb.edu
Daokun ZhangMonash UniversityAdresse e-mail validée de monash.edu
Xiangyang XueProfessor of Computer Science, Fudan UniversityAdresse e-mail validée de fudan.edu.cn
HongJiang Zhang (张宏江）Sourcecode CapitalAdresse e-mail validée de sourcecodecap.com
Yufei TangFlorida Atlantic UniversityAdresse e-mail validée de fau.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoAdresse e-mail validée de cs.uic.edu
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyAdresse e-mail validée de uts.edu.au
Min ShiHarvard UniversityAdresse e-mail validée de meei.harvard.edu
Gongqing WuHefei University of TechnologyAdresse e-mail validée de hfut.edu.cn
Ting GuoUniversity of Technology, SydneyAdresse e-mail validée de uts.edu.au
Ling Chenuniversity of technology sydneyAdresse e-mail validée de uts.edu.au

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Xingquan (Hill) Zhu

Florida Atlantic University

Adresse e-mail validée de fau.edu - Page d'accueil

Data Mining Data Analytics Machine Learning Multimedia Computing Bioinformatics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3529	2014
Class noise vs. attribute noise: A quantitative study X Zhu, X Wu Artificial Intelligence Review 22 (3), 177-210, 2004	865	2004
Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE Transactions on Big Data 6, 3-28, 2020	493	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	399	2013
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	396	2016
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	340	2000
Eliminating class noise in large datasets X Zhu, X Wu, Q Chen ICML 3, 920-927, 2003	331	2003
A survey on instance selection for active learning Y Fu, X Zhu, B Li Knowledge and information systems, 1-35, 2013	317	2013
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	272	2012
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) HJ Zhang, Z Su, X Zhu US Patent 7,111,002, 2006	230	2006
Knowledge Discovery and Data Mining: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	216	2007
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	213	2017
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	189	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	176	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	157	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	151	2010
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	140	2020
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	132	2007
Categorizing and mining concept drifting data streams P Zhang, X Zhu, Y Shi Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	129	2008
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	125	2006

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