Kaizhu Huang

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Irwin KingThe Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Prof Amir HussainSchool of Computing, Edinburgh Napier University, Scotland, UKDirección de correo verificada de napier.ac.uk
Haiqin YangInternational Digital Economy Academy (IDEA)Dirección de correo verificada de ieee.org
Cheng-Lin LiuInstitute of Automation, Chinese Academy of SciencesDirección de correo verificada de nlpr.ia.ac.cn
Xu-Cheng YinUniversity of Science and Technology BeijingDirección de correo verificada de ustb.edu.cn
Guoqiang ZhongDepartment of Computer Science and Technology, Ocean University of ChinaDirección de correo verificada de ouc.edu.cn
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng LabDirección de correo verificada de hit.edu.cn
Yiming YingProfessor, Department of Mathematics and Statistics, University at Albany, SUNYDirección de correo verificada de albany.edu
Xi YangDr，Xi'an Jiaotong Liverpool UniversityDirección de correo verificada de xjtlu.edu.cn
Yan-Ming ZhangInstitute of Automation, Chinese Academy of SciencesDirección de correo verificada de nlpr.ia.ac.cn
Xu-Yao ZhangInstitute of Automation, Chinese Academy of SciencesDirección de correo verificada de ieee.org
Jianke ZhuProfessor of Computer Science, Zhejiang UniversityDirección de correo verificada de zju.edu.cn

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Kaizhu Huang

Professor of ECE, Duke Kunshan University

Dirección de correo verificada de dukekunshan.edu.cn - Página principal

Pattern Recognition Machine Learning Data Mining Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Robust text detection in natural scene images XC Yin, X Yin, K Huang, HW Hao IEEE transactions on pattern analysis and machine intelligence 36 (5), 970-983, 2013	729	2013
Localized support vector regression for time series prediction H Yang, K Huang, I King, MR Lyu Neurocomputing 72 (10-12), 2659-2669, 2009	180	2009
Customer churn prediction in the telecommunication sector using a rough set approach A Amin, S Anwar, A Adnan, M Nawaz, K Alawfi, A Hussain, K Huang Neurocomputing 237, 242-254, 2017	173	2017
A unified gradient regularization family for adversarial examples C Lyu, K Huang, HN Liang 2015 IEEE international conference on data mining, 301-309, 2015	171	2015
Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems 22, 2009	139	2009
Learning classifiers from imbalanced data based on biased minimax probability machine K Huang, H Yang, I King, MR Lyu Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	135	2004
Hybrid metaheuristic algorithms: past, present, and future TO Ting, XS Yang, S Cheng, K Huang Recent advances in swarm intelligence and evolutionary computation, 71-83, 2015	131	2015
The minimum error minimax probability machine K Huang, H Yang, I King, MR Lyu, L Chan Journal of Machine Learning Research 5 (Oct), 1253-1286, 2004	124	2004
A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting KS Kim, S Lee, K Huang Big Data Analytics 3 (1), 1-17, 2018	121	2018
IAN: the individual aggregation network for person search J Xiao, Y Xie, T Tillo, K Huang, Y Wei, J Feng Pattern Recognition 87, 332-340, 2019	107	2019
Fast kNN Graph Construction with Locality Sensitive Hashing YM Zhang, K Huang, G Geng, CL Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	102	2013
Biased support vector machine for relevance feedback in image retrieval CH Hoi, CH Chan, K Huang, MR Lyu, I King 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004	98	2004
Maxi–min margin machine: learning large margin classifiers locally and globally K Huang, H Yang, I King, MR Lyu IEEE Transactions on Neural Networks 19 (2), 260-272, 2008	91	2008
Imbalanced learning with a biased minimax probability machine K Huang, H Yang, I King, MR Lyu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006	84	2006
Learning large margin classifiers locally and globally K Huang, H Yang, I King, MR Lyu Proceedings of the twenty-first international conference on Machine learning, 51, 2004	72	2004
Sparse learning for support vector classification K Huang, D Zheng, J Sun, Y Hotta, K Fujimoto, S Naoi Pattern Recognition Letters 31 (13), 1944-1951, 2010	66	2010
Reliability does matter: An end-to-end weakly supervised semantic segmentation approach B Zhang, J Xiao, Y Wei, M Sun, K Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12765 …, 2020	65	2020
Machine learning: modeling data locally and globally KZ Huang, H Yang, I King, MR Lyu Springer Science & Business Media, 2008	65*	2008
Enhanced protein fold recognition through a novel data integration approach Y Ying, K Huang, C Campbell BMC bioinformatics 10 (1), 1-18, 2009	61	2009
Deep learning: fundamentals, theory and applications K Huang, A Hussain, QF Wang, R Zhang springer, 2019	60	2019

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