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De-Shuang Huang
Deshuang Huang
2010 – today
- 2013
[j93]Can-Yi Lu, De-Shuang Huang: Optimized projections for sparse representation based classification. Neurocomputing 113: 213-219 (2013)- [j92]Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu: The nearest-farthest subspace classification for face recognition. Neurocomputing 113: 241-250 (2013)
- [j91]De-Shuang Huang, DeLiang Wang: Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011). Neurocomputing 116: 1-2 (2013)
- [j90]Lin Zhu, De-Shuang Huang: Efficient optimally regularized discriminant analysis. Neurocomputing 117: 12-21 (2013)
- [j89]Lin Zhu, Zhu-Hong You, De-Shuang Huang: Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. Neurocomputing 121: 99-107 (2013)
- [j88]Hong-Jie Yu, De-Shuang Huang: Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids. IEEE/ACM Trans. Comput. Biology Bioinform. 10(2): 457-467 (2013)
- [j87]Hong-Jie Yu, De-Shuang Huang: Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil. IEEE J. Biomedical and Health Informatics 17(3): 503-511 (2013)
- [c59]Kai Yang, Deshuang Huang: Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree. ICIC (2) 2013: 260-266
- [e25]De-Shuang Huang, Phalguni Gupta, Ling Wang, M. Michael Gromiha (Eds.): Emerging Intelligent Computing Technology and Applications - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Communications in Computer and Information Science 375, Springer 2013, ISBN 978-3-642-39677-9
- [e24]De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa García, Prashan Premaratne (Eds.): Intelligent Computing Theories - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7995, Springer 2013, ISBN 978-3-642-39478-2
- [e23]De-Shuang Huang, Kang-Hyun Jo, Yong-Quan Zhou, Kyungsook Han (Eds.): Intelligent Computing Theories and Technology - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7996, Springer 2013, ISBN 978-3-642-39481-2
- 2012
- [j86]M. Michael Gromiha, De-Shuang Huang: Introduction: advanced intelligent computing theories and their applications in bioinformatics. BMC Bioinformatics 13(S-7): I1 (2012)
- [j85]Ying-Ke Lei, Zhuhong You, Zhen Ji, Lin Zhu, De-Shuang Huang: Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. BMC Bioinformatics 13(S-7): S3 (2012)
- [j84]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)
- [j83]Yang Zhao, De-Shuang Huang, Wei Jia: Completed Local Binary Count for Rotation Invariant Texture Classification. IEEE Transactions on Image Processing 21(10): 4492-4497 (2012)
- [j82]Rong-Xiang Hu, Wei Jia, Haibin Ling, Deshuang Huang: Multiscale Distance Matrix for Fast Plant Leaf Recognition. IEEE Transactions on Image Processing 21(11): 4667-4672 (2012)
- [j81]De-Shuang Huang, Wen Jiang: A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(5): 1489-1500 (2012)
- [c58]Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan: Robust and Efficient Subspace Segmentation via Least Squares Regression. ECCV (7) 2012: 347-360
- [c57]Lin Zhu, De-Shuang Huang: A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis. IJCNN 2012: 1-8
- [e22]De-Shuang Huang, Phalguni Gupta, Xiang Zhang, Prashan Premaratne (Eds.): Emerging Intelligent Computing Technology and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Communications in Computer and Information Science 304, Springer 2012, ISBN 978-3-642-31836-8
- [e21]De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa García (Eds.): Advanced Intelligent Computing - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers. Lecture Notes in Computer Science 6838, Springer 2012, ISBN 978-3-642-24727-9
- [e20]De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha (Eds.): 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. Lecture Notes in Computer Science 6839, Springer 2012, ISBN 978-3-642-25943-2
- [e19]De-Shuang Huang, Yong Gan, Prashan Premaratne, Kyungsook Han (Eds.): Bio-Inspired Computing and Applications - 7th International Conference on Intelligent Computing, ICIC 2011, Zhengzhou,China, August 11-14. 2011, Revised Selected Papers. Lecture Notes in Computer Science 6840, Springer 2012, ISBN 978-3-642-24552-7
- [e18]De-Shuang Huang, Changjun Jiang, Vitoantonio Bevilacqua, Juan Carlos Figueroa García (Eds.): Intelligent Computing Technology - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Lecture Notes in Computer Science 7389, Springer 2012, ISBN 978-3-642-31587-9
- [e17]De-Shuang Huang, Jianhua Ma, Kang-Hyun Jo, M. Michael Gromiha (Eds.): Intelligent Computing Theories and Applications - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Lecture Notes in Computer Science 7390, Springer 2012, ISBN 978-3-642-31575-6
- 2011
- [j80]De-Shuang Huang: Special issue on advanced intelligent computing theory and methodology. Computers in Human Behavior 27(5): 1467 (2011)
- [j79]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)
- [j78]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)
- [j77]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)
- 2010
- [j76]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)
- [j75]Junfeng 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)
- [j74]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)
- [j73]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)
- [j72]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)
- [j71]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)
- [j70]Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei: Maximum margin criterion with tensor representation. Neurocomputing 73(10-12): 1541-1549 (2010)
- [j69]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)
- [j68]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)
- [j67]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)
- [j66]Xiaofeng Wang, De-Shuang Huang, Huan Xu: An efficient local Chan-Vese model for image segmentation. Pattern Recognition 43(3): 603-618 (2010)
- [c56]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
- [c55]Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang: Dimensionality reduction based on minimax risk criterion for face recognition. IJCNN 2010: 1-6
- [c54]Shanwen Zhang, Ying-Ke Lei, De-Shuang Huang: Two-dimensional Neighborhood Discriminant Projection. IJCNN 2010: 1-7
- [e16]De-Shuang Huang, T. Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang (Eds.): Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Communications in Computer and Information Science 93, Springer 2010, ISBN 978-3-642-14830-9
- [e15]De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa García (Eds.): Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Lecture Notes in Computer Science 6215, Springer 2010, ISBN 978-3-642-14921-4
- [e14]De-Shuang Huang, Xiang Zhang, Carlos A. Reyes García, Lei Zhang (Eds.): 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. Lecture Notes in Computer Science 6216, Springer 2010, ISBN 978-3-642-14931-3
2000 – 2009
- 2009
- [j65]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)
- [j64]Bo Li, Chao Wang, De-Shuang Huang: Supervised feature extraction based on orthogonal discriminant projection. Neurocomputing 73(1-3): 191-196 (2009)
- [j63]Ngoc Thanh Nguyen, De-Shuang Huang: Knowledge Management for Autonomous Systems and Computational Intelligence. J. UCS 15(4): 704 (2009)
- [j62]De-Shuang Huang: Advanced intelligent computing theory and methodology. Pattern Recognition Letters 30(9): 781 (2009)
- [j61]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)
- [j60]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)
- [c53]Chun-Gui Xu, Kun-hong Liu, De-Shuang Huang: The analysis of microarray datasets using a genetic programming. CIBCB 2009: 176-181
- [c52]Chao Wang, De-Shuang Huang, Bo Li: A Novel Local Sensitive Frontier Analysis for Feature Extraction. ICIC (2) 2009: 556-565
- [c51]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
- [c50]Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li: Inferring Protein Interactions from Sequence using Support Vector Machine. IJCNN 2009: 2903-2907
- [c49]Wei Jia, Yi-Hai Zhu, Ling-Feng Liu, De-Shuang Huang: Fast Palmprint Retrieval Using Principal Lines. SMC 2009: 4118-4123
- [e13]De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua (Eds.): Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings. Lecture Notes in Computer Science 5754, Springer 2009, ISBN 978-3-642-04069-6
- [e12]De-Shuang Huang, Kang-Hyun Jo, Hong-Hee Lee, Hee-Jun Kang, Vitoantonio Bevilacqua (Eds.): 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. Lecture Notes in Computer Science 5755, Springer 2009, ISBN 978-3-642-04019-1
- 2008
- [j59]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)
- [j58]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)
- [j57]Kun-hong Liu, De-Shuang Huang: Cancer classification using Rotation Forest. Comp. in Bio. and Med. 38(5): 601-610 (2008)
- [j56]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)
- [j55]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)
- [j54]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)
- [j53]Xiaofeng Wang, De-Shuang Huang: A Novel Multi-Layer Level Set Method for Image Segmentation. J. UCS 14(14): 2427-2452 (2008)
- [j52]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)
- [j51]De-Shuang Huang, Wei Jia, David Zhang: Palmprint verification based on principal lines. Pattern Recognition 41(4): 1316-1328 (2008)
- [j50]Wei Jia, De-Shuang Huang, David Zhang: Palmprint verification based on robust line orientation code. Pattern Recognition 41(5): 1504-1513 (2008)
- [j49]Bo Li, De-Shuang Huang, Chao Wang, Kun-hong Liu: Feature extraction using constrained maximum variance mapping. Pattern Recognition 41(11): 3287-3294 (2008)
- [j48]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)
- [j47]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)
- [c48]Guo-Zhu Wen, De-Shuang Huang: A Novel Spike Sorting Method Based on Semi-supervised Learning. ICIC (2) 2008: 605-615
- [c47]Huan Xu, De-Shuang Huang: One Class Support Vector Machines for Distinguishing Photographs and Graphics. ICNSC 2008: 602-607
- [c46]Jie Gui, De-Shuang Huang, Zhuhong You: An improvement on learning with local and global consistency. ICPR 2008: 1-4
- [c45]Bo Li, De-Shuang Huang, Chao Wang: Improving the robustness of ISOMAP by de-noising. IJCNN 2008: 266-270
- [c44]
- [c43]Wei Jia, De-Shuang Huang, Dacheng Tao, David Zhang: Palmprint identification based on directional representation. SMC 2008: 1562-1567
- [e11]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (Eds.): 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. Communications in Computer and Information Science 15, Springer 2008, ISBN 978-3-540-85929-1
- [e10]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (Eds.): 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. Lecture Notes in Computer Science 5226, Springer 2008, ISBN 978-3-540-87440-9
- [e9]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (Eds.): 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. Lecture Notes in Computer Science 5227, Springer 2008, ISBN 978-3-540-85983-3
- 2007
- [j46]De-Shuang Huang: Special issue on intelligent computing theory and methodology. Applied Mathematics and Computation 185(2): 757-758 (2007)
- [j45]De-Shuang Huang, Prashan Premaratne: Advanced Neurocomputing Theory and Methodology. Neurocomputing 70(4-6): 623-624 (2007)
- [j44]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)
- [j43]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)
- [j42]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)
- [j41]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)
- [j40]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)
- [j39]De-Shuang Huang, Jian-Xun Mi: A New Constrained Independent Component Analysis Method. IEEE Transactions on Neural Networks 18(5): 1532-1535 (2007)
- [c42]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
- [c41]Kun-hong Liu, De-Shuang Huang, Jun Zhang: Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637
- [c40]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
- [c39]Zhong-Qiu Zhao, De-Shuang Huang: An evolutionary modular neural network for unbalanced pattern classifications. IEEE Congress on Evolutionary Computation 2007: 1662-1669
- [c38]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
- [c37]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
- [c36]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
- [c35]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943
- [c34]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
- [c33]Junfeng Xia, Bing Wang, De-Shuang Huang: Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475
- [c32]Wei Jia, De-Shuang Huang: Palmprint Verification Based on Robust Orientation Code. IJCNN 2007: 2510-2514
- [e8]De-Shuang Huang, Laurent Heutte, Marco Loog (Eds.): 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. Communications in Computer and Information Science 2, Springer 2007, ISBN 978-3-540-74281-4
- [e7]De-Shuang Huang, Laurent Heutte, Marco Loog (Eds.): 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. Lecture Notes in Computer Science 4681, Springer 2007, ISBN 978-3-540-74170-1
- [e6]De-Shuang Huang, Laurent Heutte, Marco Loog (Eds.): 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. Lecture Notes in Computer Science 4682, Springer 2007, ISBN 978-3-540-74201-2
- 2006
- [j38]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)
- [j37]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)
- [j36]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)
- [j35]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)
- [j34]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)
- [j33]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)
- [j32]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)
- [j31]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)
- [j30]Fei Han, De-Shuang Huang: Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006)
- [j29]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)
- [j28]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)
- [j27]
- [j26]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)
- [j25]Hong-Qiang Wang, De-Shuang Huang: Regulation probability method for gene selection. Pattern Recognition Letters 27(2): 116-122 (2006)
- [j24]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)
- [c31]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
- [c30]Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin: Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474
- [c29]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
- [c28]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
- [c27]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
- [c26]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
- [c25]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
- [c24]Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336
- [c23]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
- [e5]De-Shuang Huang, Kang Li, George W. Irwin (Eds.): Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4113, Springer 2006, ISBN 3-540-37271-7
- [e4]De-Shuang Huang, Kang Li, George W. Irwin (Eds.): Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4114, Springer 2006, ISBN 3-540-37274-1
- [e3]De-Shuang Huang, Kang Li, George W. Irwin (Eds.): Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III. Lecture Notes in Computer Science 4115, Springer 2006, ISBN 3-540-37277-6
- [i2]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)
- [i1]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)
- 2005
- [j23]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)
- [j22]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)
- [j21]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)
- [j20]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)
- [j19]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)
- [j18]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)
- [j17]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)
- [j16]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)
- [j15]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)
- [j14]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)
- [j13]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)
- [j12]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)
- [c22]Li Shang, Deshuang Huang: Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm. CVPR (1) 2005: 1017-1022
- [c21]
- [c20]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
- [c19]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
- [c18]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
- [c17]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
- [e2]De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang (Eds.): Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3644, Springer 2005, ISBN 3-540-28226-2
- [e1]De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang (Eds.): Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3645, Springer 2005, ISBN 3-540-28227-0
- 2004
- [j11]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)
- [j10]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)
- [j9]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)
- [j8]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)
- [j7]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)
- [j6]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)
- [c16]Jian-Xun Mi, De-Shuang Huang: Image compression using principal component neural network. ICARCV 2004: 698-701
- [c15]Zhigang Zeng, Zengfu Wang, De-Shuang Huang: Global exponential stability of delayed Cohen-Grossberg neural networks. ICARCV 2004: 2254-2257
- [c14]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
- [c13]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
- [c12]Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Global Convergence of Steepest Descent for Quadratic Functions. IDEAL 2004: 672-677
- [c11]Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Stability Analysis of Discrete-Time Cellular Neural Networks. ISNN (1) 2004: 114-119
- [c10]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
- [c9]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
- [c8]Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao: Support Vector Machine Committee for Classification. ISNN (1) 2004: 648-653
- [c7]Zhan-Li Sun, De-Shuang Huang: Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. ISNN (1) 2004: 774-779
- [c6]Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. ISNN (1) 2004: 1008-1014
- 2003
- [c5]De-Shuang Huang: On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. IDEAL 2003: 169-176
- [c4]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
- [c3]De-Shuang Huang, Horace Ho-Shing Ip: On the Choices of the Parameters in General Constrained Learning Algorithms. IDEAL 2003: 967-974
1990 – 1999
- 1999
- [j5]De-Shuang Huang: A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. IJPRAI 13(1): 65-83 (1999)
- [j4]De-Shuang Huang: Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. IJPRAI 13(6): 945-962 (1999)
- [j3]Deshuang Huang: The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough. J. Comput. Sci. Technol. 14(1): 34-43 (1999)
- [c2]Jiuzhen Liang, Xingui He, Deshuang Huang: Gradient-Newton Learning Algorithm for Feedforward Neural Networks. PDPTA 1999: 2870-2874
- [c1]De-Shuang Huang: Neural Pattern Analyses Based on a Novel Error Cost Function. PDPTA 1999: 2875-2880
- 1998
- [j2]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
- [j1]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
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last updated on 2013-10-02 11:01 CEST by the dblp team