Guang-Bin Huang

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Sundararajan NRetd. Prof EEE, NTU, SingaporeVerified email at ntu.edu.sg
Erik CambriaProfessor of Computer Science & Engineering, NTU SingaporeVerified email at ntu.edu.sg
Jiexiong TangKTH Royal Institute of TechnologyVerified email at kth.se
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
Cao JiuwenProfessor of Institute of Information and Control, Hangzhou Dianzi University, ChinaVerified email at hdu.edu.cn
Weiwei ZongHenry Ford Health SystemVerified email at hfhs.org
Huaguang ZhangNortheastern University, ChinaVerified email at mail.neu.edu.cn
De-Shuang HuangInstitute of Machine Learning and Systems Biology Tongji UniversityVerified email at tongji.edu.cn
Chi Man VONGUniversity of MacauVerified email at umac.mo
Nan LIU, PhDDuke-NUS Medical SchoolVerified email at duke-nus.edu.sg
Kai (Alex) QinSwinburne University of TechnologyVerified email at swin.edu.au
Feng GuoruiShanghai UniversityVerified email at shu.edu.cn
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief ScientistVerified email at ntu.edu.sg
Arindam BasuProfessor, City University of Hong Kong (past Associate Professor of EEE at NTU)Verified email at cityu.edu.hk
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerified email at ia.ac.cn
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of HongVerified email at cuhk.edu.hk

Guang-Bin Huang

Full Professor, Nanyang Technological University, Singapore

Verified email at ntu.edu.sg - Homepage

Machine Learning Neural Networks Neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Extreme learning machine: theory and applications GB Huang, QY Zhu, CK Siew Neurocomputing 70 (1-3), 489-501, 2006	13902	2006
Extreme learning machine for regression and multiclass classification GB Huang, H Zhou, X Ding, R Zhang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011	5997	2011
Extreme learning machine: a new learning scheme of feedforward neural networks GB Huang, QY Zhu, CK Siew 2004 IEEE international joint conference on neural networks (IEEE Cat. No …, 2004	5226	2004
Universal approximation using incremental constructive feedforward networks with random hidden nodes GB Huang, L Chen, CK Siew IEEE Trans. Neural Networks 17 (4), 879-892, 2006	2817	2006
A fast and accurate online sequential learning algorithm for feedforward networks NY Liang, GB Huang, P Saratchandran, N Sundararajan IEEE Transactions on neural networks 17 (6), 1411-1423, 2006	2190	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2, 107-122, 2011	2152	2011
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	1783	2015
Extreme learning machine for multilayer perceptron J Tang, C Deng, GB Huang IEEE transactions on neural networks and learning systems 27 (4), 809-821, 2015	1432	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1229	2007
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive Computation 6, 376-390, 2014	1057	2014
Enhanced random search based incremental extreme learning machine GB Huang, L Chen neurocomputing 71 (16-18), 3460-3468, 2008	1014	2008
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	1010	2010
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE transactions on neural networks 14 (2), 274-281, 2003	929	2003
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	902	2005
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation GB Huang, P Saratchandran, N Sundararajan IEEE transactions on neural networks 16 (1), 57-67, 2005	837	2005
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	780	2013
Error minimized extreme learning machine with growth of hidden nodes and incremental learning G Feng, GB Huang, Q Lin, R Gay IEEE Transactions on Neural Networks 20 (8), 1352-1357, 2009	720	2009
Representational learning with extreme learning machine for big data LLC Kasun, H Zhou, GB Huang, CM Vong	701	2013
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions GB Huang, HA Babri IEEE transactions on neural networks 9 (1), 224-229, 1998	651	1998
What are extreme learning machines? Filling the gap between Frank Rosenblatt’s dream and John von Neumann’s puzzle GB Huang Cognitive Computation 7, 263-278, 2015	559	2015

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