Xingquan (Hill) Zhu

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Xindong Wu (吴信东)Hefei University of TechnologyPatvirtintas el. paštas hfut.edu.cn
Chengqi ZhangChair Professor of Artificial IntelligencePatvirtintas el. paštas polyu.edu.hk
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityPatvirtintas el. paštas griffith.edu.au
Jia WuAssociate Professor, School of Computing, Macquarie University, Sydney, AustraliaPatvirtintas el. paštas mq.edu.au
Peng ZhangProfessor, Guangzhou UniversityPatvirtintas el. paštas gzhu.edu.cn
Ahmed ElmagarmidExecutive Director, Qatar Computing Research InstitutePatvirtintas el. paštas qf.org.qa
A/Prof. Jie YinUniversity of SydneyPatvirtintas el. paštas sydney.edu.au
Bin LiFudan UniversityPatvirtintas el. paštas fudan.edu.cn
Yong ShiProfessor, University of Chinese Academy of SciencesPatvirtintas el. paštas ucas.ac.cn
Wei Ding, Fellow of IEEEProfessor of Computer Science, University of Massachusetts BostonPatvirtintas el. paštas umb.edu
Daokun ZhangUniversity of Nottingham Ningbo ChinaPatvirtintas el. paštas nottingham.edu.cn
Yufei TangFlorida Atlantic UniversityPatvirtintas el. paštas fau.edu
Xiangyang XueProfessor of Computer Science, Fudan UniversityPatvirtintas el. paštas fudan.edu.cn
Min ShiUniversity of Louisiana at LafayettePatvirtintas el. paštas louisiana.edu
Man WuAssistant Professor, University of Science and Technology Beijing, ChinaPatvirtintas el. paštas ustb.edu.cn
Ying YangAustralian Taxation OfficePatvirtintas el. paštas ato.gov.au
Meng FangUniversity of LiverpoolPatvirtintas el. paštas liverpool.ac.uk
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology SydneyPatvirtintas el. paštas uts.edu.au
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesPatvirtintas el. paštas amss.ac.cn
Ting Guo (Andy)Senior Research Fellow, Data Science Institute, University of Technology, SydneyPatvirtintas el. paštas uts.edu.au

Stebėti

Xingquan (Hill) Zhu

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

Patvirtintas el. paštas fau.edu - Pagrindinis puslapis

Artificial Intelligence Data Mining Machine Learning Biomedical Informatics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	4190	2014
Class noise vs. attribute noise: A quantitative study X Zhu, X Wu Artificial Intelligence Review 22 (3), 177-210, 2004	1157	2004
Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE Transactions on Big Data 6, 3-28, 2020	827	2020
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	577	2020
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	544	2016
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	522	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	506	2013
A survey on instance selection for active learning Y Fu, X Zhu, B Li Knowledge and information systems, 1-35, 2013	473	2013
Eliminating class noise in large datasets X Zhu, X Wu, Q Chen ICML 3, 920-927, 2003	365	2003
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	350	2012
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	347	2000
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) HJ Zhang, Z Su, X Zhu US Patent 7,111,002, 2006	237	2006
Knowledge Discovery and Data Mining: Challenges and Realities X Zhu, I Davidson Igi Global, 2007	235	2007
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	202	2020
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
Hashing Techniques: A Survey and Taxonomy L Chi, X Zhu ACM Computing Surveys (CSUR) 50 (1), 11, 2017	198	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	182	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	179	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	167	2005
Multi-Class Imbalanced Graph Convolutional Network Learning M Shi, Y Tang, X Zhu, D Wilson, L Jianxun International Joint Conference on Artificial Intelligence (IJCAI), 2879--2885, 2020	163	2020

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