Guang-Bin Huang

2009
34	EE	Lei Chen, Guang-Bin Huang, Hung Keng Pung: Systemical convergence rate analysis of convex incremental feedforward neural networks. Neurocomputing 72(10-12): 2627-2635 (2009)
2008
33	EE	Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong: Extreme learning machine for multi-categories classification applications. IJCNN 2008: 1709-1713
32	EE	Yuan Lan, Yeng Chai Soh, Guang-Bin Huang: Extreme Learning Machine based bacterial protein subcellular localization prediction. IJCNN 2008: 1859-1863
31	EE	Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheong Siew: Incremental extreme learning machine with fully complex hidden nodes. Neurocomputing 71(4-6): 576-583 (2008)
2007
30	EE	Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran: Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. IEEE/ACM Trans. Comput. Biology Bioinform. 4(3): 485-495 (2007)
29	EE	Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran: Improved GAP-RBF network for classification problems. Neurocomputing 70(16-18): 3011-3018 (2007)
28	EE	Guang-Bin Huang, Lei Chen: Convex incremental extreme learning machine. Neurocomputing 70(16-18): 3056-3062 (2007)
2006
27	EE	Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang: Terrain Modeling Using Machine Learning Methods. ICARCV 2006: 1-4
26	EE	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. ISNN (2) 2006: 114-119
25	EE	Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran: Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets and Systems 157(9): 1260-1275 (2006)
24	EE	Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew: Real-time learning capability of neural networks. IEEE Transactions on Neural Networks 17(4): 863-878 (2006)
23	EE	Guang-Bin Huang, Lei Chen, Chee Kheong Siew: Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks 17(4): 879-892 (2006)
22	EE	Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. IEEE Transactions on Neural Networks 17(6): 1411-1423 (2006)
21	EE	Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan: Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine. Int. J. Neural Syst. 16(1): 29-38 (2006)
20	EE	Shaoyuan Li, Qing Chen, Guang-Bin Huang: Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network. Neurocomputing 69(4-6): 523-536 (2006)
19	EE	De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, Yiu-ming Cheung: Classifying protein sequences using hydropathy blocks. Pattern Recognition 39(12): 2293-2300 (2006)
2005
18		De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang: Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I Springer 2005
17		De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang: Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II Springer 2005
16		Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran: An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. CIBCB 2005: 251-256
15		Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan: On-Line Sequential Extreme Learning Machine. Computational Intelligence 2005: 232-237
14	EE	Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang: Methods of Decreasing the Number of Support Vectors via k-Mean Clustering. ICIC (1) 2005: 717-726
13	EE	Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang: Improvements to the Conventional Layer-by-Layer BP Algorithm. ICIC (2) 2005: 189-198
12	EE	Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang: A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. ISNN (1) 2005: 572-577
11	EE	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: Performance Evaluation of GAP-RBF Network in Channel Equalization. Neural Processing Letters 22(2): 223-233 (2005)
10	EE	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: Fully complex extreme learning machine. Neurocomputing 68: 306-314 (2005)
9	EE	Qin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang: Evolutionary extreme learning machine. Pattern Recognition 38(10): 1759-1763 (2005)
2004
8	EE	Guang-Bin Huang, Chee Kheong Siew: Extreme learning machine: RBF network case. ICARCV 2004: 1029-1036
7	EE	Qin-Yu Zhu, Guang-Bin Huang, Chee Kheong Siew: A fast constructive learning algorithm for single-hidden-layer neural networks. ICARCV 2004: 1907-1911
6	EE	Qin-Yu Zhu, Guang-Bin Huang, Chee Kheong Siew: A fast modular implementation for neural networks. ICARCV 2004: 2270-2273
5	EE	Qing Chen, Shaoyuan Li, Yugeng Xi, Guang-Bin Huang: Furnace Temperature Modeling for Continuous Annealing Process Based on Generalized Growing and Pruning RBF Neural Network. ISNN (2) 2004: 755-760
4	EE	Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2284-2292 (2004)
1998
3	EE	Guang-Bin Huang, Haroon A. Babri: Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. IEEE Transactions on Neural Networks 9(1): 224-229 (1998)
2	EE	Guang-Bin Huang, Haroon A. Babri: Comments on "Approximation capability in C(Rn) by multilayer feedforward networks and related problems". IEEE Transactions on Neural Networks 9(4): 714-715 (1998)
1		Guang-Bin Huang, Haroon A. Babri, Hua-Tian Li: Ordering of Self-Organizing Maps in Multi-Dimensional Cases. Neural Computation 10(1): 19-24 (1998)

Coauthor Index

1	Haroon A. Babri	[1] [2] [3]
2	Lei Chen	[23] [28] [31] [34]
3	Qing Chen	[5] [20]
4	Yiu-ming Cheung	[12] [19]
5	Fei Han	[12] [13]
6	De-Shuang Huang (Deshuang Huang)	[12] [17] [18] [19]
7	Yuan Lan	[32]
8	Hua-Tian Li	[1]
9	Ming-Bin Li	[10] [11] [26] [31]
10	Shaoyuan Li	[5] [20]
11	Xu-Qin Li	[13]
12	Nan-Ying Liang	[15] [21] [22]
13	Meng-Hiot Lim	[27]
14	Tat-Ming Lok	[13] [14]
15	Michael R. Lyu	[13] [14]
16	Yew-Soon Ong	[33]
17	Hung Keng Pung	[34]
18	A. Kai Qin	[9]
19	Hai-Jun Rong	[15] [25] [33]
20	Paramasivan Saratchandran (P. Saratchandran)	[4] [10] [11] [15] [16] [21] [22] [25] [26] [29] [30]
21	Chee Kheong Siew	[6] [7] [8] [23] [24] [31]
22	Yeng Chai Soh	[32]
23	Ponnuthurai N. Suganthan	[9]
24	Narasimhan Sundararajan (N. Sundararajan)	[4] [10] [11] [15] [16] [21] [22] [25] [26] [29] [30]
25	Yugeng Xi	[5]
26	Xiao-Lei Xia	[14]
27	Chee-Wee Thomas Yeu	[27]
28	Runxuan Zhang	[16] [29] [30]
29	Xiao-Ping Zhang	[17] [18]
30	Xing-Ming Zhao	[19]
31	Qin-Yu Zhu	[6] [7] [9] [24]

Colors in the list of coauthors