Xingquan (Hill) Zhu

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	总计	2019 年至今
引用	25267	13425
h 指数	69	48
i10 指数	341	201

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Xindong Wu (吴信东)Hefei University of Technology在 hfut.edu.cn 的电子邮件经过验证
Chengqi ZhangChair Professor of Artificial Intelligence在 polyu.edu.hk 的电子邮件经过验证
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith University在 griffith.edu.au 的电子邮件经过验证
Jia WuAssociate Professor, School of Computing, Macquarie University, Sydney, Australia在 mq.edu.au 的电子邮件经过验证
Peng ZhangProfessor, Guangzhou University在 gzhu.edu.cn 的电子邮件经过验证
Ahmed ElmagarmidExecutive Director, Qatar Computing Research Institute在 qf.org.qa 的电子邮件经过验证
A/Prof. Jie YinUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证
Bin LiFudan University在 fudan.edu.cn 的电子邮件经过验证
Daokun ZhangUniversity of Nottingham Ningbo China在 nottingham.edu.cn 的电子邮件经过验证
Yong ShiProfessor, University of Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
Wei Ding, Fellow of IEEEProfessor of Computer Science, University of Massachusetts Boston在 umb.edu 的电子邮件经过验证
Yufei TangFlorida Atlantic University在 fau.edu 的电子邮件经过验证
Xiangyang XueProfessor of Computer Science, Fudan University在 fudan.edu.cn 的电子邮件经过验证
Min ShiHarvard Medical School在 meei.harvard.edu 的电子邮件经过验证
Ying YangAustralian Taxation Office在 ato.gov.au 的电子邮件经过验证
Man WuAssistant Professor, University of Science and Technology Beijing, China在 ustb.edu.cn 的电子邮件经过验证
Meng FangUniversity of Liverpool在 liverpool.ac.uk 的电子邮件经过验证
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of Sciences在 amss.ac.cn 的电子邮件经过验证
Ting Guo (Andy)Senior Research Fellow, Data Science Institute, University of Technology, Sydney在 uts.edu.au 的电子邮件经过验证

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Xingquan (Hill) Zhu

IEEE Fellow, Dept. of Electrical Eng. and Comp. Science, Florida Atlantic University

在 fau.edu 的电子邮件经过验证 - 首页

Artificial Intelligence Data Mining Machine Learning Biomedical Informatics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	4181	2014
Class noise vs. attribute noise: A quantitative study X Zhu, X Wu Artificial Intelligence Review 22 (3), 177-210, 2004	1131	2004
Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE Transactions on Big Data 6, 3-28, 2020	802	2020
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	534	2016
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	531	2020
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	510	2017
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	500	2013
A survey on instance selection for active learning Y Fu, X Zhu, B Li Knowledge and information systems, 1-35, 2013	467	2013
Eliminating class noise in large datasets X Zhu, X Wu, Q Chen ICML 3, 920-927, 2003	367	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	351	2000
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	341	2012
Knowledge Discovery and Data Mining: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	242	2007
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
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	199	2004
Unsupervised Domain Adaptive Graph Convolutional Networks M Wu, S Pan, C Zhou, X Chang, X Zhu Proceedings of The Web Conference 2020, 1457-1467, 2020	187	2020
Hashing Techniques: A Survey and Taxonomy L Chi, X Zhu ACM Computing Surveys (CSUR) 50 (1), 11, 2017	187	2017
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	180	2010
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	177	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	166	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	161	2007

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