De-Shuang Huang

Deshuang Huang

	2012
157		De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa García: Advanced Intelligent Computing - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers Springer 2012
156		De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers Springer 2012
155		De-Shuang Huang, Yong Gan, Prashan Premaratne, Kyungsook Han: Bio-Inspired Computing and Applications - 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11-14. 2011, Revised Selected Papers Springer 2012
154		Shu-Ling Wang, Yi-Hai Zhu, Wei Jia, De-Shuang Huang: Robust Classification Method of Tumor Subtype by Using Correlation Filters. IEEE/ACM Trans. Comput. Biology Bioinform. 9(2): 580-591 (2012)
	2011
153		De-Shuang Huang: Special issue on advanced intelligent computing theory and methodology. Computers in Human Behavior 27(5): 1467 (2011)
152		Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Chi Keung Shiu, De-Shuang Huang: Metasample-Based Sparse Representation for Tumor Classification. IEEE/ACM Trans. Comput. Biology Bioinform. 8(5): 1273-1282 (2011)
151		Chun-Hou Zheng, Lei Zhang, Vincent To-Yee Ng, Chi Keung Shiu, De-Shuang Huang: Molecular Pattern Discovery Based on Penalized Matrix Decomposition. IEEE/ACM Trans. Comput. Biology Bioinform. 8(6): 1592-1603 (2011)
150		Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang: Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks 24(1): 54-64 (2011)
	2010
149		De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa García: Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings Springer 2010
148		De-Shuang Huang, Xiang Zhang, Carlos A. Reyes García, Lei Zhang: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings Springer 2010
147		De-Shuang Huang, T. Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang: Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings Springer 2010
146		Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang: Dimensionality reduction based on minimax risk criterion for face recognition. IJCNN 2010: 1-6
145		Shanwen Zhang, Ying-Ke Lei, De-Shuang Huang: Two-dimensional Neighborhood Discriminant Projection. IJCNN 2010: 1-7
144		Ying-Ke Lei, Rong-Xiang Hu, Lei Tang, Shanwen Zhang, De-Shuang Huang: Orthogonal linear local spline discriminant embedding for face recognition. IJCNN 2010: 1-8
143		Jun-Feng Xia, Xing-Ming Zhao, Jiangning Song, De-Shuang Huang: APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility. BMC Bioinformatics 11: 174 (2010)
142		Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang Huang, Xiaobo Zhou: A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network. BMC Bioinformatics 11: 343 (2010)
141		Zhuhong You, Ying-Ke Lei, Jie Gui, De-Shuang Huang, Xiaobo Zhou: Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. Bioinformatics 26(21): 2744-2751 (2010)
140		Bo Li, Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Kyungsook Han: Gene expression data classification using locally linear discriminant embedding. Comp. in Bio. and Med. 40(10): 802-810 (2010)
139		Shu-Lin Wang, Xueling Li, Shanwen Zhang, Jie Gui, De-Shuang Huang: Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. Comp. in Bio. and Med. 40(2): 179-189 (2010)
138		Shanwen Zhang, De-Shuang Huang, Shu-Lin Wang: A method of tumor classification based on wavelet packet transforms and neighborhood rough set. Comp. in Bio. and Med. 40(4): 430-437 (2010)
137		Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang: Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate. IJPRAI 24(4): 651-666 (2010)
136		Fei Han, Qing-Hua Ling, De-Shuang Huang: An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks. Neural Computing and Applications 19(2): 255-261 (2010)
135		Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei: Maximum margin criterion with tensor representation. Neurocomputing 73(10-12): 1541-1549 (2010)
134		Jie Gui, Wei Jia, Ling Zhu, Shu-Ling Wang, De-Shuang Huang: Locality preserving discriminant projections for face and palmprint recognition. Neurocomputing 73(13-15): 2696-2707 (2010)
133		Xiaofeng Wang, De-Shuang Huang, Huan Xu: An efficient local Chan-Vese model for image segmentation. Pattern Recognition 43(3): 603-618 (2010)
	2009
132		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
131		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
130		Chun-Gui Xu, Kun-hong Liu, De-Shuang Huang: The analysis of microarray datasets using a genetic programming. CIBCB 2009: 176-181
129		Chao Wang, De-Shuang Huang, Bo Li: A Novel Local Sensitive Frontier Analysis for Feature Extraction. ICIC (2) 2009: 556-565
128		Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang: An oscillatory correlation model of object-based attention. IJCNN 2009: 2596-2602
127		Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li: Inferring Protein Interactions from Sequence using Support Vector Machine. IJCNN 2009: 2903-2907
126		Wei Jia, Yi-Hai Zhu, Ling-Feng Liu, De-Shuang Huang: Fast Palmprint Retrieval Using Principal Lines. SMC 2009: 4118-4123
125		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)
124		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)
123		Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong: Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. IEEE Transactions on Information Technology in Biomedicine 13(4): 599-607 (2009)
122		Ngoc Thanh Nguyen, De-Shuang Huang: Knowledge Management for Autonomous Systems and Computational Intelligence. J. UCS 15(4): 704 (2009)
121		Bo Li, Chao Wang, De-Shuang Huang: Supervised feature extraction based on orthogonal discriminant projection. Neurocomputing 73(1-3): 191-196 (2009)
120		De-Shuang Huang: Advanced intelligent computing theory and methodology. Pattern Recognition Letters 30(9): 781 (2009)
	2008
119		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
118		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
117		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
116		Guo-Zhu Wen, De-Shuang Huang: A Novel Spike Sorting Method Based on Semi-supervised Learning. ICIC (2) 2008: 605-615
115		Huan Xu, De-Shuang Huang: One Class Support Vector Machines for Distinguishing Photographs and Graphics. ICNSC 2008: 602-607
114		Jie Gui, De-Shuang Huang, Zhuhong You: An improvement on learning with local and global consistency. ICPR 2008: 1-4
113		Bo Li, De-Shuang Huang, Chao Wang: Improving the robustness of ISOMAP by de-noising. IJCNN 2008: 266-270
112		Bo Li, De-Shuang Huang, Kun-hong Liu: Constrained Maximum Variance Mapping. IJCNN 2008: 534-537
111		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)
110		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)
109		Kun-hong Liu, De-Shuang Huang: Cancer classification using Rotation Forest. Comp. in Bio. and Med. 38(5): 601-610 (2008)
108		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)
107		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)
106		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)
105		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)
104		Xiaofeng Wang, De-Shuang Huang: A Novel Multi-Layer Level Set Method for Image Segmentation. J. UCS 14(14): 2427-2452 (2008)
103		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)
102		Bo Li, De-Shuang Huang, Chao Wang, Kun-hong Liu: Feature extraction using constrained maximum variance mapping. Pattern Recognition 41(11): 3287-3294 (2008)
101		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)
100		De-Shuang Huang, Wei Jia, David Zhang: Palmprint verification based on principal lines. Pattern Recognition 41(4): 1316-1328 (2008)
99		Wei Jia, De-Shuang Huang, David Zhang: Palmprint verification based on robust line orientation code. Pattern Recognition 41(5): 1504-1513 (2008)
	2007
98		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
97		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
96		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
95		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
94		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
93		Zhong-Qiu Zhao, De-Shuang Huang: An evolutionary modular neural network for unbalanced pattern classifications. IEEE Congress on Evolutionary Computation 2007: 1662-1669
92		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
91		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
90		Kun-hong Liu, De-Shuang Huang, Jun Zhang: Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637
89		Jun-Feng Xia, Bing Wang, De-Shuang Huang: Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475
88		Wei Jia, De-Shuang Huang: Palmprint Verification Based on Robust Orientation Code. IJCNN 2007: 2510-2514
87		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
86		Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943
85		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
84		De-Shuang Huang: Special issue on intelligent computing theory and methodology. Applied Mathematics and Computation 185(2): 757-758 (2007)
83		De-Shuang Huang, Jian-Xun Mi: A New Constrained Independent Component Analysis Method. IEEE Transactions on Neural Networks 18(5): 1532-1535 (2007)
82		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)
81		De-Shuang Huang, Prashan Premaratne: Advanced Neurocomputing Theory and Methodology. Neurocomputing 70(4-6): 623-624 (2007)
80		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)
79		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)
78		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)
77		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
76		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
75		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
74		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
73		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
72		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
71		Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin: Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474
70		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
69		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
68		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
67		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
66		Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336
65		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
64		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)
63		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)
62		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)
61		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)
60		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)
59		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)
58		Yuan Yan Tang, De-Shuang Huang: Editorial. IJPRAI 20(2): 111-112 (2006)
57		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)
56		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)
55		Fei Han, De-Shuang Huang: Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006)
54		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)
53		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)
52		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)
51		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)
50		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)
49		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)
48		Hong-Qiang Wang, De-Shuang Huang: Regulation probability method for gene selection. Pattern Recognition Letters 27(2): 116-122 (2006)
	2005
47		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
46		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
45		Li Shang, Deshuang Huang: Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm. CVPR (1) 2005: 1017-1022
44		Jun-Hua Han, De-Shuang Huang: A novel BP-based image retrieval system. ISCAS (2) 2005: 1557-1560
43		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
42		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
41		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
40		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
39		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)
38		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)
37		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)
36		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)
35		De-Shuang Huang, Horace Ho-Shing Ip, Ken Chee-keung Law, Zheru Chi: Zeroing polynomials using modified constrained neural network approach. IEEE Transactions on Neural Networks 16(3): 721-732 (2005)
34		Guang-Bin Huang, K. Z. Mao, Chee Kheong Siew, De-Shuang Huang: Fast Modular network implementation for support vector machines. IEEE Transactions on Neural Networks 16(6): 1651-1663 (2005)
33		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)
32		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)
31		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)
30		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)
29		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)
28		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
27		Zhigang Zeng, Zengfu Wang, De-Shuang Huang: Global exponential stability of delayed Cohen-Grossberg neural networks. ICARCV 2004: 2254-2257
26		Jian-Xun Mi, De-Shuang Huang: Image compression using principal component neural network. ICARCV 2004: 698-701
25		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
24		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
23		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Global Convergence of Steepest Descent for Quadratic Functions. IDEAL 2004: 672-677
22		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. ISNN (1) 2004: 1008-1014
21		Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Stability Analysis of Discrete-Time Cellular Neural Networks. ISNN (1) 2004: 114-119
20		Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao: Support Vector Machine Committee for Classification. ISNN (1) 2004: 648-653
19		Zhan-Li Sun, De-Shuang Huang: Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. ISNN (1) 2004: 774-779
18		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
17		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
16		De-Shuang Huang: A constructive approach for finding arbitrary roots of polynomials by neural networks. IEEE Transactions on Neural Networks 15(2): 477-491 (2004)
15		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)
14		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)
13		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)
12		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)
11		Deshuang Huang, Zheru Chi: Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method. Science in China Series F: Information Sciences 47(2): 232-245 (2004)
	2003
10		De-Shuang Huang: On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. IDEAL 2003: 169-176
9		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
8		De-Shuang Huang, Horace Ho-Shing Ip: On the Choices of the Parameters in General Constrained Learning Algorithms. IDEAL 2003: 967-974
	1999
7		Jiuzhen Liang, Xingui He, Deshuang Huang: Gradient-Newton Learning Algorithm for Feedforward Neural Networks. PDPTA 1999: 2870-2874
6		De-Shuang Huang: Neural Pattern Analyses Based on a Novel Error Cost Function. PDPTA 1999: 2875-2880
5		De-Shuang Huang: A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. IJPRAI 13(1): 65-83 (1999)
4		De-Shuang Huang: Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. IJPRAI 13(6): 945-962 (1999)
3		Deshuang Huang: The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough. J. Comput. Sci. Technol. 14(1): 34-43 (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	[131] [132] [149] [157]
2	Catalin Caleanu	[77]
3	Lei Cao	[72]
4	Kwok-Wing Chau	[87]
5	Peng Chen	[66] [67] [86] [106]
6	Min Cheng	[62]
7	Yiu-ming Cheung	[25] [32] [36] [43] [49] [60] [70] [137]
8	Zheru Chi	[11] [13] [35] [37] [38]
9	Ji-Xiang Du	[42] [56] [65] [69] [73] [80] [94] [107] [110]
10	Ji-Yan Du	[15] [24]
11	Hai-Tao Fang	[33]
12	Yong Gan	[155] [156] [157]
13	Carlos A. Reyes García	[148]
14	Juan Carlos Figueroa García	[149] [157]
15	M. Michael Gromiha	[156]
16	Xiao Gu	[42] [80]
17	Jie Gui	[114] [134] [139] [141]
18	Vasile Gui	[77]
19	Lin Guo	[9] [20]
20	Sheng-Bo Guo	[69] [95]
21	Xiao-Yong Guo	[85]
22	Phalguni Gupta	[156]
23	Fei Han	[43] [55] [57] [64] [103] [105] [136]
24	Jun-Hua Han	[44]
25	Kyungsook Han	[125] [140] [142] [155]
26	Xingui He	[7]
27	Laurent Heutte	[96] [97] [98] [110] [147]
28	Rong-Xiang Hu	[135] [144]
29	Guang-Bin Huang	[34] [43] [46] [47] [49]
30	Xin Huang	[17] [18] [25]
31	Zhi-Kai Huang	[65] [69]
32	Horace Ho-Shing Ip	[8] [13] [35] [38]
33	George W. Irwin	[71] [72] [74] [75] [76] [82]
34	Wei Jia	[79] [88] [99] [100] [126] [134] [135] [154]
35	Kang-Hyun Jo	[117] [118] [119] [131] [132]
36	Hee-Jun Kang	[131] [132]
37	Jisu Kim	[125]
38	Xiangzhen Kong	[108] [123]
39	Ken Chee-keung Law (Ken C. K. Law)	[35] [38]
40	Hong-Hee Lee	[131] [132]
41	Ying-Ke Lei	[135] [141] [144] [145] [146]
42	Daniel S. Levine	[117] [118] [119]
43	Bo Li	[91] [101] [102] [112] [113] [121] [129] [140]
44	Kang Li	[59] [71] [72] [74] [75] [76] [82]
45	Xueling Li	[106] [127] [139]
46	Yixue Li (Yi-Xue Li)	[28]
47	Jiuzhen Liang	[7]
48	Longnian Lin	[95]
49	Qing-Hua Ling	[105] [136]
50	Kun-hong Liu	[61] [62] [85] [87] [90] [91] [92] [102] [109] [112] [130]
51	Ling-Feng Liu	[126]
52	Tat-Ming Lok	[51] [54] [68] [73]
53	Marco Loog	[96] [97] [98]
54	Michael R. Lyu	[51] [54] [68] [73]
55	Kezhi Mao (K. Z. Mao)	[34]
56	Valentin Maranescu	[77]
57	T. Martin McGinnity (Thomas Martin McGinnity)	[147]
58	Jian-Xun Mi	[26] [83]
59	Vincent T. Y. Ng (Vincent To-Yee Ng, To-Yee Ng)	[151] [152]
60	Ngoc Thanh Nguyen	[122]
61	Shun Pei	[71]
62	Jian Xun Peng	[59]
63	Prashan Premaratne	[81] [155]
64	Zhong-Hua Quan	[29] [68] [69] [87]
65	Marcos G. Quiles	[128] [150]
66	Roseli A. Francelin Romero (Roseli Aparecida Francelin Romero, Roseli A. F. Romero)	[128] [150]
67	Tie-Hua Rong	[57]
68	Li Shang	[30] [40] [41] [45] [50] [52] [53] [56] [65]
69	Ming-Guang Shi	[127]
70	Chi Keung Shiu	[151] [152]
71	Jun Shu	[78]
72	Chee Kheong Siew	[34]
73	Wan-Chi Siu	[37]
74	Jiangning Song	[143]
75	Bing-Yu Sun	[12] [20] [33]
76	Zhan-Li Sun	[19] [30] [36] [40] [41] [50] [51] [52] [60] [82]
77	Lei Tang	[144] [146]
78	Yuan Yan Tang	[58]
79	Virgil Tiponut	[77]
80	Joe Tsien	[95]
81	Bing Wang	[66] [67] [86] [89]
82	Chao Wang	[102] [113] [121] [129]
83	DeLiang Wang	[128] [150]
84	Hong-Qiang Wang	[18] [25] [48] [67] [78]
85	Li-Ming Wang	[15] [24]
86	Shu-Lin Wang	[138] [139]
87	Shu-Ling Wang	[134] [154]
88	Xiaofeng Wang	[42] [80] [104] [110] [124] [133]
89	Ying Wang	[95]
90	Zengfu Wang	[14] [21] [22] [23] [27] [31] [94]
91	Guo-Zhu Wen	[85] [116]
92	Hau-San Wong	[38] [66] [67] [78] [86]
93	Min Wu	[127]
94	Donald C. Wunsch II (Donald C. Wunsch)	[117] [118] [119]
95	Jun-Feng Xia	[89] [143]
96	Xiao-Lei Xia	[68]
97	Chun-Gui Xu	[130]
98	Huan Xu	[110] [115] [133]
99	Yong Xu	[61] [62]
100	Xing Yan	[72] [95]
101	Xing-Ming Yang	[33]
102	Zheng Yin	[142]
103	Zhuhong You	[114] [141] [142]
104	Zhigang Zeng	[14] [21] [22] [23] [27] [31]
105	David Zhang (David Dapeng Zhang)	[99] [100]
106	Guang-Zheng Zhang	[17] [28] [29]
107	Guo-Jun Zhang	[73]
108	Jun Zhang	[54] [90] [92]
109	Lei Zhang	[140]
110	Ming-Yi Zhang	[24]
111	Shanwen Zhang	[138] [139] [144] [145]
112	Shiwu Zhang	[70]
113	Xiang Zhang	[148]
114	Xiao-Ping Zhang	[46] [47] [147]
115	Lei Zhang	[123] [148] [151] [152]
116	Liang Zhao	[128] [150]
117	Wen-Bo Zhao	[9] [15] [24] [39]
118	Xing-Ming Zhao	[18] [25] [32] [49] [70] [106] [108] [137] [143]
119	Zhong-Qiu Zhao	[12] [20] [79] [93]
120	Zhongming Zhao	[149]
121	Chun-Hou Zheng (Chunhou Zheng)	[30] [40] [41] [50] [51] [52] [53] [56] [63] [82] [101] [108] [123] [140] [151] [152]
122	Xiaobo Zhou	[141] [142]
123	Lin Zhu	[146]
124	Ling Zhu	[134]
125	Yi-Hai Zhu	[126] [154]
126	Yunping Zhu	[28]
127	Zhi-Hua Zhu	[57]

Colors in the list of coauthors

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