De-Shuang Huang

Deshuang Huang

	2009
121		De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua: Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings Springer 2009
120		De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009, Proceedings Springer 2009
119		Chao Wang, De-Shuang Huang, Bo Li: A Novel Local Sensitive Frontier Analysis for Feature Extraction. ICIC (2) 2009: 556-565
118		Jisu Kim, De-Shuang Huang, Kyungsook Han: Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting. BMC Bioinformatics 10(S-1): (2009)
117		Xiaofeng Wang, De-Shuang Huang: A Novel Density-Based Clustering Framework by Using Level Set Method. IEEE Trans. Knowl. Data Eng. 21(11): 1515-1531 (2009)
116		Ngoc Thanh Nguyen, De-Shuang Huang: Knowledge Management for Autonomous Systems and Computational Intelligence. J. UCS 15(4): 704 (2009)
115		Bo Li, Chao Wang, De-Shuang Huang: Supervised feature extraction based on orthogonal discriminant projection. Neurocomputing 73(1-3): 191-196 (2009)
114		De-Shuang Huang: Advanced intelligent computing theory and methodology. Pattern Recognition Letters 30(9): 781 (2009)
	2008
113		De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo: Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings Springer 2008
112		De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings Springer 2008
111		De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings Springer 2008
110		Guo-Zhu Wen, De-Shuang Huang: A Novel Spike Sorting Method Based on Semi-supervised Learning. ICIC (2) 2008: 605-615
109		Huan Xu, De-Shuang Huang: One Class Support Vector Machines for Distinguishing Photographs and Graphics. ICNSC 2008: 602-607
108		Jie Gui, De-Shuang Huang, Zhuhong You: An improvement on learning with local and global consistency. ICPR 2008: 1-4
107		Bo Li, De-Shuang Huang, Chao Wang: Improving the robustness of ISOMAP by de-noising. IJCNN 2008: 266-270
106		Bo Li, De-Shuang Huang, Kun-hong Liu: Constrained Maximum Variance Mapping. IJCNN 2008: 534-537
105		De-Shuang Huang: Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation. Applied Mathematics and Computation 205(2): 509-510 (2008)
104		Xiaofeng Wang, De-Shuang Huang, Ji-Xiang Du, Huan Xu, Laurent Heutte: Classification of plant leaf images with complicated background. Applied Mathematics and Computation 205(2): 916-926 (2008)
103		Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao: Gene Expression Data Classification Using Consensus Independent Component Analysis. Genomics, Proteomics & Bioinformatics 6(2): 74-82 (2008)
102		De-Shuang Huang, Ji-Xiang Du: A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks. IEEE Transactions on Neural Networks 19(12): 2099-2115 (2008)
101		Peng Chen, De-Shuang Huang, Xing-Ming Zhao, Xueling Li: Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. IJBRA 4(2): 123-136 (2008)
100		Fei Han, Qing-Hua Ling, De-Shuang Huang: Modified constrained learning algorithms incorporating additional functional constraints into neural networks. Inf. Sci. 178(3): 907-919 (2008)
99		Xiaofeng Wang, De-Shuang Huang: A Novel Multi-Layer Level Set Method for Image Segmentation. J. UCS 14(14): 2427-2452 (2008)
98		Fei Han, De-Shuang Huang: A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks. Neural Computing and Applications 17(5-6): 433-439 (2008)
97		Bo Li, De-Shuang Huang, Chao Wang, Kun-hong Liu: Feature extraction using constrained maximum variance mapping. Pattern Recognition 41(11): 3287-3294 (2008)
96		Bo Li, Chun-Hou Zheng, De-Shuang Huang: Locally linear discriminant embedding: An efficient method for face recognition. Pattern Recognition 41(12): 3813-3821 (2008)
95		De-Shuang Huang, Wei Jia, David Zhang: Palmprint verification based on principal lines. Pattern Recognition 41(4): 1316-1328 (2008)
94		Wei Jia, De-Shuang Huang, David Zhang: Palmprint verification based on robust line orientation code. Pattern Recognition 41(5): 1504-1513 (2008)
	2007
93		De-Shuang Huang, Laurent Heutte, Marco Loog: Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings Springer 2007
92		De-Shuang Huang, Laurent Heutte, Marco Loog: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings Springer 2007
91		De-Shuang Huang, Laurent Heutte, Marco Loog: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings Springer 2007
90		Sheng-Bo Guo, Ying Wang, Xing Yan, Longnian Lin, Joe Tsien, De-Shuang Huang: Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus. ICIC (2) 2007: 1339-1344
89		Ji-Xiang Du, De-Shuang Huang, Zengfu Wang: Pattern classification with a PSO optimization based elliptical basis function neural networks. IEEE Congress on Evolutionary Computation 2007: 1654-1661
88		Zhong-Qiu Zhao, De-Shuang Huang: An evolutionary modular neural network for unbalanced pattern classifications. IEEE Congress on Evolutionary Computation 2007: 1662-1669
87		Jun Zhang, De-Shuang Huang, Kun-hong Liu: Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation 2007: 3215-3220
86		Kun-hong Liu, De-Shuang Huang, Bo Li: Improving the performance of ICA based microarray data prediction models with genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 606-611
85		Kun-hong Liu, De-Shuang Huang, Jun Zhang: Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637
84		Jun-Feng Xia, Bing Wang, De-Shuang Huang: Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475
83		Wei Jia, De-Shuang Huang: Palmprint Verification Based on Robust Orientation Code. IJCNN 2007: 2510-2514
82		Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwok-Wing Chau: A Hybrid HMM/ANN Based Approach for Online Signature Verification. IJCNN 2007: 402-405
81		Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943
80		Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, Kun-hong Liu: Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. IJCNN 2007: 991-996
79		De-Shuang Huang: Special issue on intelligent computing theory and methodology. Applied Mathematics and Computation 185(2): 757-758 (2007)
78		De-Shuang Huang, Jian-Xun Mi: A New Constrained Independent Component Analysis Method. IEEE Transactions on Neural Networks 18(5): 1532-1535 (2007)
77		Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun: MISEP Method for Postnonlinear Blind Source Separation. Neural Computation 19(9): 2557-2578 (2007)
76		De-Shuang Huang, Prashan Premaratne: Advanced Neurocomputing Theory and Methodology. Neurocomputing 70(4-6): 623-624 (2007)
75		Ji-Xiang Du, De-Shuang Huang, Xiaofeng Wang, Xiao Gu: Shape recognition based on neural networks trained by differential evolution algorithm. Neurocomputing 70(4-6): 896-903 (2007)
74		Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia: Palmprint recognition with 2DPCA+PCA based on modular neural networks. Neurocomputing 71(1-3): 448-454 (2007)
73		Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu: Extracting gene regulation information for cancer classification. Pattern Recognition 40(12): 3379-3392 (2007)
72		Catalin Caleanu, De-Shuang Huang, Vasile Gui, Virgil Tiponut, Valentin Maranescu: Interest Operator versus Gabor filtering for facial imagery classification. Pattern Recognition Letters 28(8): 950-956 (2007)
	2006
71		De-Shuang Huang, Kang Li, George W. Irwin: Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Springer 2006
70		De-Shuang Huang, Kang Li, George W. Irwin: Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II Springer 2006
69		De-Shuang Huang, Kang Li, George W. Irwin: Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III Springer 2006
68		Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu: Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering. FSKD 2006: 582-585
67		Xing Yan, Lei Cao, De-Shuang Huang, Kang Li, George W. Irwin: A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition. ICIC (1) 2006: 1085-1091
66		Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin: Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474
65		Xing-Ming Zhao, De-Shuang Huang, Shiwu Zhang, Yiu-ming Cheung: Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. ICIC (3) 2006: 593-602
64		Zhi-Kai Huang, De-Shuang Huang, Ji-Xiang Du, Zhong-Hua Quan, Sheng-Bo Guo: Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network. ICONIP (2) 2006: 80-87
63		Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok: Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. ICPR (2) 2006: 1122-1125
62		Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang: Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330
61		Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336
60		Li Shang, De-Shuang Huang, Ji-Xiang Du, Zhi-Kai Huang: Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network. ISNN (2) 2006: 216-221
59		Fei Han, De-Shuang Huang: Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. Applied Mathematics and Computation 174(1): 34-50 (2006)
58		De-Shuang Huang, Chun-Hou Zheng: Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. Bioinformatics 22(15): 1855-1862 (2006)
57		Kun-hong Liu, Yong Xu, De-Shuang Huang, Min Cheng: Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm CoRR abs/cs/0610147: (2006)
56		Kun-hong Liu, Yong Xu, De-Shuang Huang: A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation CoRR abs/cs/0610157: (2006)
55		Zhan-Li Sun, Deshuang Huang, Yiu-ming Cheung: Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346]. Digital Signal Processing 16(2): 205 (2006)
54		Jian Xun Peng, Kang Li, De-Shuang Huang: A Hybrid Forward Algorithm for RBF Neural Network Construction. IEEE Transactions on Neural Networks 17(6): 1439-1451 (2006)
53		Yuan Yan Tang, De-Shuang Huang: Editorial. IJPRAI 20(2): 111-112 (2006)
52		Fei Han, De-Shuang Huang, Zhi-Hua Zhu, Tie-Hua Rong: The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. Int. J. Neural Syst. 16(1): 39-46 (2006)
51		Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng: Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. Neurocomputing 69(13-15): 1782-1786 (2006)
50		Fei Han, De-Shuang Huang: Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006)
49		Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu: A novel adaptive sequential niche technique for multimodal function optimization. Neurocomputing 69(16-18): 2396-2401 (2006)
48		Chun-Hou Zheng, De-Shuang Huang, Li Shang: Feature selection in independent component subspace for microarray data classification. Neurocomputing 69(16-18): 2407-2410 (2006)
47		Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun: Noise removal using a novel non-negative sparse coding shrinkage technique. Neurocomputing 69(7-9): 874-877 (2006)
46		Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok: Nonnegative independent component analysis based on minimizing mutual information technique. Neurocomputing 69(7-9): 878-883 (2006)
45		Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang: Optimal selection of time lags for TDSEP based on genetic algorithm. Neurocomputing 69(7-9): 884-887 (2006)
44		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)
43		Hong-Qiang Wang, De-Shuang Huang: Regulation probability method for gene selection. Pattern Recognition Letters 27(2): 116-122 (2006)
	2005
42		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
41		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
40		Li Shang, Deshuang Huang: Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm. CVPR (1) 2005: 1017-1022
39		Jun-Hua Han, De-Shuang Huang: A novel BP-based image retrieval system. ISCAS (2) 2005: 1557-1560
38		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
37		Ji-Xiang Du, Deshuang Huang, Xiaofeng Wang, Xiao Gu: Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification. ISNN (2) 2005: 281-285
36		Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Shang: Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure. ISNN (2) 2005: 478-483
35		Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun: Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model. ISNN (2) 2005: 807-812
34		De-Shuang Huang, Wen-Bo Zhao: Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms. Applied Mathematics and Computation 162(1): 461-473 (2005)
33		De-Shuang Huang, Horace Ho-Shing Ip, Ken C. K. Law, Zheru Chi, Hau-San Wong: A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. Applied Mathematics and Computation 162(3): 1183-1200 (2005)
32		De-Shuang Huang, Zheru Chi, Wan-Chi Siu: A case study for constrained learning neural root finders. Applied Mathematics and Computation 165(3): 699-718 (2005)
31		Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung: Extracting nonlinear features for multispectral images by FCMC and KPCA. Digital Signal Processing 15(4): 331-346 (2005)
30		Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang, Xing-Ming Yang: A novel robust regression approach of Lidar signal based on modified least squares support vector machine. IJPRAI 19(5): 715-729 (2005)
29		Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang: A novel approach to extracting features from motif content and protein composition for protein sequence classification. Neural Networks 18(8): 1019-1028 (2005)
28		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Global Stability of a General Class of Discrete-Time Recurrent Neural Networks. Neural Processing Letters 22(1): 33-47 (2005)
27		Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang: Using batch algorithm for kernel blind source separation. Neurocomputing 69(1-3): 273-278 (2005)
26		Guang-Zheng Zhang, De-Shuang Huang, Zhong-Hua Quan: Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction. Pattern Recognition Letters 26(10): 1543-1553 (2005)
25		Guang-Zheng Zhang, De-Shuang Huang, Yunping Zhu, Yi-Xue Li: Improving protein secondary structure prediction by using the residue conformational classes. Pattern Recognition Letters 26(15): 2346-2352 (2005)
	2004
24		Zhigang Zeng, Zengfu Wang, De-Shuang Huang: Global exponential stability of delayed Cohen-Grossberg neural networks. ICARCV 2004: 2254-2257
23		Jian-Xun Mi, De-Shuang Huang: Image compression using principal component neural network. ICARCV 2004: 698-701
22		Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang: A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL 2004: 11-16
21		Wen-Bo Zhao, Ming-Yi Zhang, Li-Ming Wang, Ji-Yan Du, De-Shuang Huang: Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks. IDEAL 2004: 314-319
20		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Global Convergence of Steepest Descent for Quadratic Functions. IDEAL 2004: 672-677
19		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. ISNN (1) 2004: 1008-1014
18		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Stability Analysis of Discrete-Time Cellular Neural Networks. ISNN (1) 2004: 114-119
17		Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao: Support Vector Machine Committee for Classification. ISNN (1) 2004: 648-653
16		Zhan-Li Sun, De-Shuang Huang: Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. ISNN (1) 2004: 774-779
15		Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang: A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. ISNN (2) 2004: 476-481
14		Guang-Zheng Zhang, De-Shuang Huang, Xin Huang: Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction. ISNN (2) 2004: 513-518
13		Wen-Bo Zhao, De-Shuang Huang, Ji-Yan Du, Li-Ming Wang: Genetic Optimization Of Radial Basis Probabilistic Neural Networks. IJPRAI 18(8): 1473-1499 (2004)
12		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Attractability and location of equilibrium point of cellular neural networks with time-varying delays. Int. J. Neural Syst. 14(5): 337-345 (2004)
11		De-Shuang Huang, Horace Ho-Shing Ip, Zheru Chi: A Neural Root Finder of Polynomials Based on Root Moments. Neural Computation 16(8): 1721-1762 (2004)
10		Zhong-Qiu Zhao, De-Shuang Huang, Bing-Yu Sun: Human face recognition based on multi-features using neural networks committee. Pattern Recognition Letters 25(12): 1351-1358 (2004)
	2003
9		De-Shuang Huang: On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. IDEAL 2003: 169-176
8		Wen-Bo Zhao, De-Shuang Huang, Lin Guo: Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks. IDEAL 2003: 389-396
7		De-Shuang Huang, Horace Ho-Shing Ip: On the Choices of the Parameters in General Constrained Learning Algorithms. IDEAL 2003: 967-974
	1999
6		Jiuzhen Liang, Xingui He, Deshuang Huang: Gradient-Newton Learning Algorithm for Feedforward Neural Networks. PDPTA 1999: 2870-2874
5		De-Shuang Huang: Neural Pattern Analyses Based on a Novel Error Cost Function. PDPTA 1999: 2875-2880
4		De-Shuang Huang: A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. IJPRAI 13(1): 65-83 (1999)
3		De-Shuang Huang: Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. IJPRAI 13(6): 945-962 (1999)
	1998
2		De-Shuang Huang: The local minima-free condition of feedforward neural networks for outer-supervised learning. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(3): 477-480 (1998)
	1997
1		De-Shuang Huang: The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition. IJPRAI 11(6): 873-888 (1997)

Coauthor Index

1	Vitoantonio Bevilacqua	[120] [121]
2	Catalin Caleanu	[72]
3	Lei Cao	[67]
4	Kwok-Wing Chau	[82]
5	Peng Chen	[61] [62] [81] [101]
6	Min Cheng	[57]
7	Yiu-ming Cheung	[22] [29] [31] [38] [44] [55] [65]
8	Zheru Chi	[11] [32] [33]
9	Ji-Xiang Du	[37] [51] [60] [64] [68] [75] [89] [102] [104]
10	Ji-Yan Du	[13] [21]
11	Hai-Tao Fang	[30]
12	Xiao Gu	[37] [75]
13	Jie Gui	[108]
14	Vasile Gui	[72]
15	Lin Guo	[8] [17]
16	Sheng-Bo Guo	[64] [90]
17	Xiao-Yong Guo	[80]
18	Fei Han	[38] [50] [52] [59] [98] [100]
19	Jun-Hua Han	[39]
20	Kyungsook Han	[118]
21	Xingui He	[6]
22	Laurent Heutte	[91] [92] [93] [104]
23	Guang-Bin Huang	[38] [41] [42] [44]
24	Xin Huang	[14] [15] [22]
25	Zhi-Kai Huang	[60] [64]
26	Horace Ho-Shing Ip	[7] [11] [33]
27	George W. Irwin	[66] [67] [69] [70] [71] [77]
28	Wei Jia	[74] [83] [94] [95]
29	Kang-Hyun Jo	[111] [112] [113] [120] [121]
30	Hee-Jun Kang	[120] [121]
31	Jisu Kim	[118]
32	Xiangzhen Kong	[103]
33	Ken C. K. Law	[33]
34	Hong-Hee Lee	[120] [121]
35	Daniel S. Levine	[111] [112] [113]
36	Bo Li	[86] [96] [97] [106] [107] [115] [119]
37	Kang Li	[54] [66] [67] [69] [70] [71] [77]
38	Xueling Li	[101]
39	Yixue Li (Yi-Xue Li)	[25]
40	Jiuzhen Liang	[6]
41	Longnian Lin	[90]
42	Qing-Hua Ling	[100]
43	Kun-hong Liu	[56] [57] [80] [82] [85] [86] [87] [97] [106]
44	Tat-Ming Lok	[46] [49] [63] [68]
45	Marco Loog	[91] [92] [93]
46	Michael R. Lyu	[46] [49] [63] [68]
47	Valentin Maranescu	[72]
48	Jian-Xun Mi	[23] [78]
49	Ngoc Thanh Nguyen	[116]
50	Shun Pei	[66]
51	Jian Xun Peng	[54]
52	Prashan Premaratne	[76]
53	Zhong-Hua Quan	[26] [63] [64] [82]
54	Tie-Hua Rong	[52]
55	Li Shang	[27] [35] [36] [40] [45] [47] [48] [51] [60]
56	Jun Shu	[73]
57	Wan-Chi Siu	[32]
58	Bing-Yu Sun	[10] [17] [30]
59	Zhan-Li Sun	[16] [27] [31] [35] [36] [45] [46] [47] [55] [77]
60	Yuan Yan Tang	[53]
61	Virgil Tiponut	[72]
62	Joe Tsien	[90]
63	Bing Wang	[61] [62] [81] [84]
64	Chao Wang	[97] [107] [115] [119]
65	Hong-Qiang Wang	[15] [22] [43] [62] [73]
66	Li-Ming Wang	[13] [21]
67	Xiaofeng Wang	[37] [75] [99] [104] [117]
68	Ying Wang	[90]
69	Zengfu Wang	[12] [18] [19] [20] [24] [28] [89]
70	Guo-Zhu Wen	[80] [110]
71	Hau-San Wong	[33] [61] [62] [73] [81]
72	Donald C. Wunsch II (Donald C. Wunsch)	[111] [112] [113]
73	Jun-Feng Xia	[84]
74	Xiao-Lei Xia	[63]
75	Huan Xu	[104] [109]
76	Yong Xu	[56] [57]
77	Xing Yan	[67] [90]
78	Xing-Ming Yang	[30]
79	Zhuhong You	[108]
80	Zhigang Zeng	[12] [18] [19] [20] [24] [28]
81	David Zhang (David Dapeng Zhang)	[94] [95]
82	Guang-Zheng Zhang	[14] [25] [26]
83	Guo-Jun Zhang	[68]
84	Jun Zhang	[49] [85] [87]
85	Ming-Yi Zhang	[21]
86	Shiwu Zhang	[65]
87	Xiao-Ping Zhang	[41] [42]
88	Wen-Bo Zhao	[8] [13] [21] [34]
89	Xing-Ming Zhao	[15] [22] [29] [44] [65] [101] [103]
90	Zhong-Qiu Zhao	[10] [17] [74] [88]
91	Chun-Hou Zheng (Chunhou Zheng)	[27] [35] [36] [45] [46] [47] [48] [51] [58] [77] [96] [103]
92	Yunping Zhu	[25]
93	Zhi-Hua Zhu	[52]

Colors in the list of coauthors