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De-Shuang Huang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu
    Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:582-585 [Conf]
  2. Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin
    Gene Selection by Cooperative Competition Clustering. [Citation Graph (0, 0)][DBLP]
    ICIC (3), 2006, pp:464-474 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:1085-1091 [Conf]
  4. Xing-Ming Zhao, De-Shuang Huang, Shiwu Zhang, Yiu-ming Cheung
    Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICIC (3), 2006, pp:593-602 [Conf]
  5. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:80-87 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:1122-1125 [Conf]
  7. De-Shuang Huang
    On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:169-176 [Conf]
  8. De-Shuang Huang, Horace Ho-Shing Ip
    On the Choices of the Parameters in General Constrained Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:967-974 [Conf]
  9. Zhigang Zeng, De-Shuang Huang, Zengfu Wang
    Global Convergence of Steepest Descent for Quadratic Functions. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:672-677 [Conf]
  10. Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang
    A Novel Hybrid GA/SVM System for Protein Sequences Classification. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:11-16 [Conf]
  11. Wen-Bo Zhao, De-Shuang Huang, Lin Guo
    Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:389-396 [Conf]
  12. 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. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:314-319 [Conf]
  13. Jun-Hua Han, De-Shuang Huang
    A novel BP-based image retrieval system. [Citation Graph (0, 0)][DBLP]
    ISCAS (2), 2005, pp:1557-1560 [Conf]
  14. Zhan-Li Sun, De-Shuang Huang
    Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:774-779 [Conf]
  15. Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao
    Support Vector Machine Committee for Classification. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:648-653 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:216-221 [Conf]
  17. Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang
    A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:476-481 [Conf]
  18. Zhigang Zeng, De-Shuang Huang, Zengfu Wang
    Stability Analysis of Discrete-Time Cellular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:114-119 [Conf]
  19. Zhigang Zeng, De-Shuang Huang, Zengfu Wang
    Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:1008-1014 [Conf]
  20. Guang-Zheng Zhang, De-Shuang Huang, Xin Huang
    Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2004, pp:513-518 [Conf]
  21. De-Shuang Huang
    Neural Pattern Analyses Based on a Novel Error Cost Function. [Citation Graph (0, 0)][DBLP]
    PDPTA, 1999, pp:2875-2880 [Conf]
  22. De-Shuang Huang, Chun-Hou Zheng
    Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:15, pp:1855-1862 [Journal]
  23. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2006, v:16, n:1, pp:39-46 [Journal]
  24. Zhigang Zeng, De-Shuang Huang, Zengfu Wang
    Attractability and location of equilibrium point of cellular neural networks with time-varying delays. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2004, v:14, n:5, pp:337-345 [Journal]
  25. Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang
    Using batch algorithm for kernel blind source separation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:69, n:1-3, pp:273-278 [Journal]
  26. Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang
    Optimal selection of time lags for TDSEP based on genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:884-887 [Journal]
  27. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:878-883 [Journal]
  28. Ji-Xiang Du, De-Shuang Huang, XiaoFeng Wang, Xiao Gu
    Shape recognition based on neural networks trained by differential evolution algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:4-6, pp:896-903 [Journal]
  29. De-Shuang Huang, Prashan Premaratne
    Advanced Neurocomputing Theory and Methodology. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:4-6, pp:623-624 [Journal]
  30. De-Shuang Huang
    The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1997, v:11, n:6, pp:873-888 [Journal]
  31. De-Shuang Huang
    A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:1, pp:65-83 [Journal]
  32. De-Shuang Huang
    Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:6, pp:945-962 [Journal]
  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. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:5, pp:715-729 [Journal]
  34. Yuan Yan Tang, De-Shuang Huang
    Editorial. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2006, v:20, n:2, pp:111-112 [Journal]
  35. Wen-Bo Zhao, De-Shuang Huang, Ji-Yan Du, Li-Ming Wang
    Genetic Optimization Of Radial Basis Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:8, pp:1473-1499 [Journal]
  36. De-Shuang Huang, Horace Ho-Shing Ip, Zheru Chi
    A Neural Root Finder of Polynomials Based on Root Moments. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:8, pp:1721-1762 [Journal]
  37. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:8, pp:1019-1028 [Journal]
  38. Zhigang Zeng, De-Shuang Huang, Zengfu Wang
    Global Stability of a General Class of Discrete-Time Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2005, v:22, n:1, pp:33-47 [Journal]
  39. De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, Yiu-ming Cheung
    Classifying protein sequences using hydropathy blocks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:12, pp:2293-2300 [Journal]
  40. Hong-Qiang Wang, De-Shuang Huang
    Regulation probability method for gene selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:2, pp:116-122 [Journal]
  41. Zhong-Qiu Zhao, De-Shuang Huang, Bing-Yu Sun
    Human face recognition based on multi-features using neural networks committee. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:12, pp:1351-1358 [Journal]
  42. Guang-Zheng Zhang, De-Shuang Huang, Z. H. Quan
    Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:10, pp:1543-1553 [Journal]
  43. Guang-Zheng Zhang, De-Shuang Huang, Yun-Ping Zhu, Yi-Xue Li
    Improving protein secondary structure prediction by using the residue conformational classes. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:15, pp:2346-2352 [Journal]
  44. De-Shuang Huang
    The local minima-free condition of feedforward neural networks for outer-supervised learning. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:3, pp:477-480 [Journal]
  45. Fei Han, De-Shuang Huang
    Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2006, v:174, n:1, pp:34-50 [Journal]
  46. De-Shuang Huang
    Special issue on intelligent computing theory and methodology. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2007, v:185, n:2, pp:757-758 [Journal]
  47. 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. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:1339-1344 [Conf]
  48. 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 [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  49. Kun-hong Liu, Yong Xu, De-Shuang Huang, Min Cheng
    Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  50. Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng
    Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1782-1786 [Journal]
  51. Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu
    A novel adaptive sequential niche technique for multimodal function optimization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2396-2401 [Journal]
  52. Chun-Hou Zheng, De-Shuang Huang, Li Shang
    Feature selection in independent component subspace for microarray data classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2407-2410 [Journal]
  53. Fei Han, De-Shuang Huang
    Improved extreme learning machine for function approximation by encoding a priori information. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2369-2373 [Journal]
  54. Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia
    Palmprint recognition with 2DPCA+PCA based on modular neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:71, n:1-3, pp:448-454 [Journal]
  55. Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu
    Extracting gene regulation information for cancer classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3379-3392 [Journal]
  56. Catalin Caleanu, De-Shuang Huang, Vasile Gui, Virgil Tiponut, Valentin Maranescu
    Interest Operator versus Gabor filtering for facial imagery classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:8, pp:950-956 [Journal]
  57. Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung
    Extracting nonlinear features for multispectral images by FCMC and KPCA. [Citation Graph (0, 0)][DBLP]
    Digital Signal Processing, 2005, v:15, n:4, pp:331-346 [Journal]

  58. The analysis of microarray datasets using a genetic programming. [Citation Graph (, )][DBLP]


  59. A Novel Spike Sorting Method Based on Semi-supervised Learning. [Citation Graph (, )][DBLP]


  60. A Novel Local Sensitive Frontier Analysis for Feature Extraction. [Citation Graph (, )][DBLP]


  61. An improvement on learning with local and global consistency. [Citation Graph (, )][DBLP]


  62. Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. [Citation Graph (, )][DBLP]


  63. A Hybrid HMM/ANN Based Approach for Online Signature Verification. [Citation Graph (, )][DBLP]


  64. Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. [Citation Graph (, )][DBLP]


  65. Palmprint Verification Based on Robust Orientation Code. [Citation Graph (, )][DBLP]


  66. Prediction of Long-range Contacts from Sequence Profile. [Citation Graph (, )][DBLP]


  67. Long-Range Interaction Analysis using Principal Component Analysis. [Citation Graph (, )][DBLP]


  68. Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. [Citation Graph (, )][DBLP]


  69. Constrained Maximum Variance Mapping. [Citation Graph (, )][DBLP]


  70. Improving the robustness of ISOMAP by de-noising. [Citation Graph (, )][DBLP]


  71. Fast Palmprint Retrieval Using Principal Lines. [Citation Graph (, )][DBLP]


  72. Pattern classification with a PSO optimization based elliptical basis function neural networks. [Citation Graph (, )][DBLP]


  73. Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. [Citation Graph (, )][DBLP]


  74. An evolutionary modular neural network for unbalanced pattern classifications. [Citation Graph (, )][DBLP]


  75. Microarray data prediction by evolutionary classifier ensemble system. [Citation Graph (, )][DBLP]


  76. Improving the performance of ICA based microarray data prediction models with genetic algorithm. [Citation Graph (, )][DBLP]


  77. Image compression using principal component neural network. [Citation Graph (, )][DBLP]


  78. Global exponential stability of delayed Cohen-Grossberg neural networks. [Citation Graph (, )][DBLP]


  79. One Class Support Vector Machines for Distinguishing Photographs and Graphics. [Citation Graph (, )][DBLP]


  80. Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting. [Citation Graph (, )][DBLP]


  81. APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility. [Citation Graph (, )][DBLP]


  82. A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network. [Citation Graph (, )][DBLP]


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