Guang-Bin Huang - Google Scholar

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	All	Since 2015
Citations	43971	32970
h-index	68	60
i10-index	140	123

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Sundararajan NRetd. Prof EEE, NTU, SingaporeVerified email at ntu.edu.sg
Erik CambriaAssociate Professor, NTU SingaporeVerified email at ntu.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
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
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 OngProfessor of Computer Science, IEEE FellowVerified email at ntu.edu.sg
Arindam BasuAssociate Professor of EEE at NTUVerified email at ntu.edu.sg
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Guoqi LiAssociate Professor, Tsinghua University, Beijing, P.R. ChinaVerified email at mail.tsinghua.edu.cn
Rui ZhangPost-Doctoral Fellow @ Institute of Space and Earth Information Science, Chinese University of HongVerified email at cuhk.edu.hk
Jiexiong TangKTH Royal Institute of TechnologyVerified email at kth.se

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	9031	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	4148	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	3441	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	2224	2006
Extreme learning machines: a survey GB Huang, DH Wang, Y Lan International journal of machine learning and cybernetics 2 (2), 107-122, 2011	1665	2011
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	1643	2006
Trends in extreme learning machines: A review G Huang, GB Huang, S Song, K You Neural Networks 61, 32-48, 2015	1080	2015
Convex incremental extreme learning machine GB Huang, L Chen Neurocomputing 70 (16-18), 3056-3062, 2007	1051	2007
Enhanced random search based incremental extreme learning machine GB Huang, L Chen Neurocomputing 71 (16-18), 3460-3468, 2008	867	2008
Optimization method based extreme learning machine for classification GB Huang, X Ding, H Zhou Neurocomputing 74 (1-3), 155-163, 2010	814	2010
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	793	2015
An insight into extreme learning machines: random neurons, random features and kernels GB Huang Cognitive Computation 6 (3), 376-390, 2014	726	2014
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	719	2005
Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005	698	2005
Learning capability and storage capacity of two-hidden-layer feedforward networks GB Huang IEEE Transactions on Neural Networks 14 (2), 274-281, 2003	662	2003
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	615	2009
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	507	1998
Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013	495	2013
Representational learning with extreme learning machine for big data LLC Kasun, H Zhou, GB Huang, CM Vong IEEE intelligent systems 28 (6), 31-34, 2013	454	2013
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks GB Huang, P Saratchandran, N Sundararajan IEEE transactions on systems, man, and cybernetics, part B (Cybernetics) 34 …, 2004	405	2004

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