Application of function link net to recognition of radar targets. - Deshuang Huang; Erke Mao; Yueqiu Han (ICASSP, 1995)

The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition. - De-Shuang Huang (Int. J. Pattern Recognit. Artif. Intell., 1997)

The local minima-free condition of feedforward neural networks for outer-supervised learning. - De-Shuang Huang (IEEE Trans. Syst. Man Cybern. Part B, 1998)

On the conditions of outer-supervised feedforward neural networks for null cost learning. - De-Shuang Huang (IJCNN, 1999)

A fusion design of linear feedforward neural networks for pattern classification. - De-Shuang Huang (IJCNN, 1999)

Neural Pattern Analyses Based on a Novel Error Cost Function. - De-Shuang Huang (PDPTA, 1999)

Gradient-Newton Learning Algorithm for Feedforward Neural Networks. - Jiuzhen Liang; Xingui He; Deshuang Huang (PDPTA, 1999)

A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. - De-Shuang Huang (Int. J. Pattern Recognit. Artif. Intell., 1999)

Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. - De-Shuang Huang (Int. J. Pattern Recognit. Artif. Intell., 1999)

The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough. - Deshuang Huang (J. Comput. Sci. Technol., 1999)

Support vector clustering for multiclass classification problems. - Bing-Yu Sun; De-Shuang Huang (IEEE Congress on Evolutionary Computation, 2003)

Finding the maximum modulus roots of polynomials based on constrained neural networks. - De-Shuang Huang; Horace H. S. Ip (ICASSP (2), 2003)

On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. - De-Shuang Huang (IDEAL, 2003)

On the Choices of the Parameters in General Constrained Learning Algorithms. - De-Shuang Huang; Horace Ho-Shing Ip (IDEAL, 2003)

Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks. - Wen-Bo Zhao; De-Shuang Huang; Lin Guo (IDEAL, 2003)

Human face recognition based on radial basis probabilistic neural network. - Lin Guo; De-Shuang Huang (IJCNN, 2003)

The optimization of radial basis probabilistic neural networks based on genetic algorithms. - Lin Guo; De-Shuang Huang; Wenbo Zhao (IJCNN, 2003)

The further discussions on constrained learning algorithms. - De-Shuang Huang (IJCNN, 2003)

Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks. - De-Shuang Huang; Horace H. S. Ip; Ken C. K. Law; Hau-San Wong (IJCNN, 2003)

Optimizing radial basis probabilistic neural networks using Recursive Orthogonal Least Squares Algorithms combined with Micro-Genetic Algorithms. - Wenbo Zhao; De-Shuang Huang; Lin Guo (IJCNN, 2003)

Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction. - Guang-Zheng Zhang; De-Shuang Huang (IEEE Congress on Evolutionary Computation, 2004)

Image compression using principal component neural network. - Jian-Xun Mi; De-Shuang Huang (ICARCV, 2004)

Global exponential stability of delayed Cohen-Grossberg neural networks. - Zhigang Zeng; Zengfu Wang; De-Shuang Huang (ICARCV, 2004)

Protein secondary structure prediction based on the amino acids conformational classification and neural network technique. - Guang-Zheng Zhang; De-Shuang Huang; Hong-Qiang Wang (ICASSP (5), 2004)

Global Convergence of Steepest Descent for Quadratic Functions. - Zhigang Zeng; De-Shuang Huang; Zengfu Wang (IDEAL, 2004)

A Novel Hybrid GA/SVM System for Protein Sequences Classification. - Xing-Ming Zhao; De-Shuang Huang; Yiu-ming Cheung; Hong-Qiang Wang; Xin Huang (IDEAL, 2004)

Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks. - Wen-Bo Zhao; Mingyi Zhang; Li-Ming Wang; Ji-Yan Du; De-Shuang Huang (IDEAL, 2004)

A novel mixed pixels unmixing method for multispectral images. - Jun-Hua Han; De-Shuang Huang; Zhan-Li Sun; Yiu-ming Cheung (IJCNN, 2004)

Representation of DNA sequences with multiple resolutions and BP neural network based classification. - Xin Huang; De-Shuang Huang; Hong-Qiang Wang; Xing-Ming Zhao (IJCNN, 2004)

Least squares support vector machine ensemble. - Bing-Yu Sun; De-Shuang Huang (IJCNN, 2004)

A feature_core and SVM-based algorithm for identification of bioprocess-specific genome features. - Hong-Qiang Wang; Deshuang Huang; Guang-Zheng Zhang; Xing-Ming Zhao (IJCNN, 2004)

Pattern memory and acquisition based on stability of cellular neural networks. - Zhigang Zeng; De-Shuang Huang (IJCNN, 2004)

Aligning multiple protein sequence by an improved genetic algorithm. - Guang-Zheng Zhang; De-Shuang Huang (IJCNN, 2004)

Combing genetic algorithm with neural network technique for protein inter-residue spatial distance prediction. - Guang-Zheng Zhang; De-Shuang Huang (IJCNN, 2004)

A novel clustering-neural tree for pattern classification. - Zhong-Qiu Zhao; De-Shuang Huang; Lin Guo (IJCNN, 2004)

Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. - Zhan-Li Sun; De-Shuang Huang (ISNN (1), 2004)

Support Vector Machine Committee for Classification. - Bing-Yu Sun; De-Shuang Huang; Lin Guo; Zhong-Qiu Zhao (ISNN (1), 2004)

A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. - Hong-Qiang Wang; De-Shuang Huang; Xing-Ming Zhao; Xin Huang (ISNN (2), 2004)

Stability Analysis of Discrete-Time Cellular Neural Networks. - Zhigang Zeng; De-Shuang Huang; Zengfu Wang (ISNN (1), 2004)

Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. - Zhigang Zeng; De-Shuang Huang; Zengfu Wang (ISNN (1), 2004)

Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction. - Guang-Zheng Zhang; De-Shuang Huang; Xin Huang (ISNN (2), 2004)

Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method. - Deshuang Huang; Zheru Chi (Sci. China Ser. F Inf. Sci., 2004)

Attractability and location of equilibrium point of cellular neural networks with time-varying delays. - Zhigang Zeng; De-Shuang Huang; Zengfu Wang (Int. J. Neural Syst., 2004)

Genetic Optimization Of Radial Basis Probabilistic Neural Networks. - Wen-Bo Zhao; De-Shuang Huang; Ji-Yan Du; Li-Ming Wang (Int. J. Pattern Recognit. Artif. Intell., 2004)

Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme. - Guang-Zheng Zhang; De-Shuang Huang (J. Comput. Aided Mol. Des., 2004)

A Neural Root Finder of Polynomials Based on Root Moments. - De-Shuang Huang; Horace Ho-Shing Ip; Zheru Chi (Neural Comput., 2004)

Human face recognition based on multi-features using neural networks committee. - Zhong-Qiu Zhao; De-Shuang Huang; Bing-Yu Sun (Pattern Recognit. Lett., 2004)

A constructive approach for finding arbitrary roots of polynomials by neural networks. - De-Shuang Huang (IEEE Trans. Neural Networks, 2004)

Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm. - Li Shang; Deshuang Huang (CVPR (1), 2005)

Prediction of contact map integrated PNN with conformational energy. - Peng Chen 001; De-Shuang Huang; Bing Wang 004; Yunping Zhu; Yixue Li (IJCNN, 2005)

Neural network-based shape recognition using generalized differential evolution training algorithm. - Ji-Xiang Du; De-Shuang Huang; Xiao-Feng Wang; Xiao Gu 002 (IJCNN, 2005)

A novel image retrieval system based on BP neural network. - Jun-Hua Han; De-Shuang Huang; Tat-Ming Lok; Michael R. Lyu (IJCNN, 2005)

Characterizing human gene splice sites using evolved regular expressions. - Jing-Jing Li; De-Shuang Huang; Robert M. MacCallum; Xiao-Run Wu (IJCNN, 2005)

Natural image compression using an extended non-negative sparse coding neural network technique. - Li Shang; Deshuang Huang; Chunhou Zheng 001; Zhanli Sun (IJCNN, 2005)

Blind inversion of Wiener system for single source using nonlinear blind source separation. - Zhan-Li Sun; De-Shuang Huang; Chun-Hou Zheng 001; Li Shang (IJCNN, 2005)

Predicting protein-protein interactions based on protein-domain relationships. - Bing Wang 004; De-Shuang Huang; Peng Chen 001; Yunping Zhu; Yixue Li (IJCNN, 2005)

A novel BP-based image retrieval system. - Jun-Hua Han; De-Shuang Huang (ISCAS (2), 2005)

Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification. - Ji-Xiang Du; Deshuang Huang; Xiaofeng Wang; Xiao Gu 002 (ISNN (2), 2005)

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. - Fei Han 001; Deshuang Huang; Yiu-ming Cheung; Guang-Bin Huang (ISNN (1), 2005)

Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model. - Li Shang; Deshuang Huang; Chunhou Zheng 001; Zhan-Li Sun (ISNN (2), 2005)

Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure. - Chunhou Zheng 001; Deshuang Huang; Zhan-Li Sun; Li Shang (ISNN (2), 2005)

Shape matching using fuzzy discrete particle swarm optimization. - Ji-Xiang Du; De-Shuang Huang; Jun Zhang 011; Xiao-Feng Wang (SIS, 2005)

A case study for constrained learning neural root finders. - De-Shuang Huang; Zheru Chi; Wan-Chi Siu (Appl. Math. Comput., 2005)

A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. - De-Shuang Huang; Horace Ho-Shing Ip; Ken C. K. Law; Zheru Chi; Hau-San Wong (Appl. Math. Comput., 2005)

Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms. - De-Shuang Huang; Wen-Bo Zhao (Appl. Math. Comput., 2005)

Extracting nonlinear features for multispectral images by FCMC and KPCA. - Zhan-Li Sun; De-Shuang Huang; Yiu-ming Cheung (Digit. Signal Process., 2005)

Using batch algorithm for kernel blind source separation. - Zhan-Li Sun; De-Shuang Huang; Chun-Hou Zheng 001; Li Shang (Neurocomputing, 2005)

A novel robust regression approach of Lidar signal based on modified least squares support vector machine. - Bing-Yu Sun; De-Shuang Huang; Hai-Tao Fang; Xing-Ming Yang (Int. J. Pattern Recognit. Artif. Intell., 2005)

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images. - Zhan-Li Sun; De-Shuang Huang; Yiu-ming Cheung; Jiming Liu 001; Guang-Bin Huang (IEEE Geosci. Remote. Sens. Lett., 2005)

A novel approach to extracting features from motif content and protein composition for protein sequence classification. - Xing-Ming Zhao; Yiu-ming Cheung; De-Shuang Huang (Neural Networks, 2005)

Global Stability of a General Class of Discrete-Time Recurrent Neural Networks. - Zhigang Zeng; De-Shuang Huang; Zengfu Wang (Neural Process. Lett., 2005)

Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction. - Guang-Zheng Zhang; De-Shuang Huang; Zhong-Hua Quan (Pattern Recognit. Lett., 2005)

Improving protein secondary structure prediction by using the residue conformational classes. - Guang-Zheng Zhang; De-Shuang Huang; Yunping Zhu; Yi-Xue Li (Pattern Recognit. Lett., 2005)

Lidar signal denoising using least-squares support vector machine. - Bing-Yu Sun; De-Shuang Huang; Hai-Tao Fang (IEEE Signal Process. Lett., 2005)

Zeroing polynomials using modified constrained neural network approach. - De-Shuang Huang; Horace Ho-Shing Ip; Ken Chee-keung Law; Zheru Chi (IEEE Trans. Neural Networks, 2005)

Fast Modular network implementation for support vector machines. - Guang-Bin Huang; Ke Zhi Mao; Chee Kheong Siew; De-Shuang Huang (IEEE Trans. Neural Networks, 2005)

Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering. - Guo-Jun Zhang; Ji-Xiang Du; De-Shuang Huang; Tat-Ming Lok; Michael R. Lyu (FSKD, 2006)

Gene Selection by Cooperative Competition Clustering. - Shun Pei; De-Shuang Huang; Kang Li 002; George W. Irwin (ICIC (3), 2006)

A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition. - Xing Yan; Lei Cao; De-Shuang Huang; Kang Li 002; George W. Irwin (ICIC (1), 2006)

Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. - Xing-Ming Zhao; De-Shuang Huang; Shiwu Zhang; Yiu-ming Cheung (ICIC (3), 2006)

Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network. - Zhi-Kai Huang; De-Shuang Huang; Ji-Xiang Du; Zhong-Hua Quan; Sheng-Bo Guo (ICONIP (2), 2006)

Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. - Zhong-Hua Quan; De-Shuang Huang; Xiao-Lei Xia; Michael R. Lyu; Tat-Ming Lok (ICPR (2), 2006)

Long-Range Interaction Analysis using Principal Component Analysis. - Peng Chen 001; Bing Wang 004; Hau-San Wong; De-Shuang Huang (IJCNN, 2006)

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. - Bing Wang 004; Hau-San Wong; Peng Chen 001; Hong-Qiang Wang; De-Shuang Huang (IJCNN, 2006)

Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network. - Li Shang; De-Shuang Huang; Ji-Xiang Du; Zhi-Kai Huang (ISNN (2), 2006)

Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. - Fei Han 001; De-Shuang Huang (Appl. Math. Comput., 2006)

Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. - De-Shuang Huang; Chun-Hou Zheng 001 (Bioinform., 2006)

A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation - KunHong Liu 001; Yong Xu 009; De-Shuang Huang (CoRR, 2006)

Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346]. - Zhan-Li Sun; Deshuang Huang; Yiu-ming Cheung (Digit. Signal Process., 2006)

The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. - Fei Han 001; De-Shuang Huang; Zhi-Hua Zhu; Tie-Hua Rong (Int. J. Neural Syst., 2006)

A novel full structure optimization algorithm for radial basis probabilistic neural networks. - Ji-Xiang Du; De-Shuang Huang; Guo-Jun Zhang; Zengfu Wang (Neurocomputing, 2006)

Improved extreme learning machine for function approximation by encoding a priori information. - Fei Han 001; De-Shuang Huang (Neurocomputing, 2006)

Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. - Li Shang; De-Shuang Huang; Ji-Xiang Du; Chun-Hou Zheng 001 (Neurocomputing, 2006)

Noise removal using a novel non-negative sparse coding shrinkage technique. - Li Shang; Deshuang Huang; Chunhou Zheng 001; Zhan-Li Sun (Neurocomputing, 2006)

Optimal selection of time lags for TDSEP based on genetic algorithm. - Zhan-Li Sun; De-Shuang Huang; Chun-Hou Zheng 001; Li Shang (Neurocomputing, 2006)

A novel adaptive sequential niche technique for multimodal function optimization. - Jun Zhang 032; De-Shuang Huang; Tat-Ming Lok; Michael R. Lyu (Neurocomputing, 2006)

Feature selection in independent component subspace for microarray data classification. - Chun-Hou Zheng 001; De-Shuang Huang; Li Shang (Neurocomputing, 2006)

Nonnegative independent component analysis based on minimizing mutual information technique. - Chun-Hou Zheng 001; De-Shuang Huang; Zhan-Li Sun; Michael R. Lyu; Tat-Ming Lok (Neurocomputing, 2006)

Editorial. - Yuan Yan Tang; De-Shuang Huang (Int. J. Pattern Recognit. Artif. Intell., 2006)

Classifying protein sequences using hydropathy blocks. - De-Shuang Huang; Xing-Ming Zhao; Guang-Bin Huang; Yiu-ming Cheung (Pattern Recognit., 2006)

Regulation probability method for gene selection. - Hong-Qiang Wang; De-Shuang Huang (Pattern Recognit. Lett., 2006)

A Hybrid Forward Algorithm for RBF Neural Network Construction. - Jian Xun Peng; Kang Li 002; De-Shuang Huang (IEEE Trans. Neural Networks, 2006)

Pattern classification with a PSO optimization based elliptical basis function neural networks. - Ji-Xiang Du; De-Shuang Huang; Zengfu Wang (IEEE Congress on Evolutionary Computation, 2007)

Improving the performance of ICA based microarray data prediction models with genetic algorithm. - KunHong Liu 001; De-Shuang Huang; Bo Li 002 (IEEE Congress on Evolutionary Computation, 2007)

Microarray data prediction by evolutionary classifier ensemble system. - KunHong Liu 001; De-Shuang Huang; Jun Zhang 011 (IEEE Congress on Evolutionary Computation, 2007)

Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. - Jun Zhang 011; De-Shuang Huang; KunHong Liu 001 (IEEE Congress on Evolutionary Computation, 2007)

An evolutionary modular neural network for unbalanced pattern classifications. - Zhong-Qiu Zhao; De-Shuang Huang (IEEE Congress on Evolutionary Computation, 2007)

Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus. - Sheng-Bo Guo; Ying Wang; Xing Yan; Longnian Lin; Joe Tsien; De-Shuang Huang (ICIC (2), 2007)

Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. - Bing Wang 004; Lu-Sheng Ge; De-Shuang Huang; Hau-San Wong (ICNC (2), 2007)

Prediction of Long-range Contacts from Sequence Profile. - Peng Chen 001; Bing Wang 004; Hau-San Wong; De-Shuang Huang (IJCNN, 2007)

Palmprint Verification Based on Robust Orientation Code. - Wei Jia 001; De-Shuang Huang (IJCNN, 2007)

A Hybrid HMM/ANN Based Approach for Online Signature Verification. - Zhong-Hua Quan; De-Shuang Huang; KunHong Liu 001; Kwok-Wing Chau (IJCNN, 2007)

Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. - Guo-Zhu Wen; Xiao-Yong Guo; De-Shuang Huang; KunHong Liu 001 (IJCNN, 2007)

Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. - Junfeng Xia; Bing Wang 004; De-Shuang Huang (IJCNN, 2007)

Special issue on intelligent computing theory and methodology. - De-Shuang Huang (Appl. Math. Comput., 2007)

Shape recognition based on neural networks trained by differential evolution algorithm. - Ji-Xiang Du; De-Shuang Huang; Xiaofeng Wang; Xiao Gu 002 (Neurocomputing, 2007)

Advanced Neurocomputing Theory and Methodology. - De-Shuang Huang; Prashan Premaratne (Neurocomputing, 2007)

Palmprint recognition with 2DPCA+PCA based on modular neural networks. - Zhong-Qiu Zhao; De-Shuang Huang; Wei Jia 001 (Neurocomputing, 2007)

MISEP Method for Postnonlinear Blind Source Separation. - Chun-Hou Zheng 001; De-Shuang Huang; Kang Li 002; George W. Irwin; Zhan-Li Sun (Neural Comput., 2007)

Extracting gene regulation information for cancer classification. - Hong-Qiang Wang; Hau-San Wong; De-Shuang Huang; Jun Shu (Pattern Recognit., 2007)

Interest Operator versus Gabor filtering for facial imagery classification. - Catalin-Daniel Caleanu; De-Shuang Huang; Vasile Gui; Virgil Tiponut; Valentin Maranescu (Pattern Recognit. Lett., 2007)

A New Constrained Independent Component Analysis Method. - De-Shuang Huang; Jian-Xun Mi (IEEE Trans. Neural Networks, 2007)

A Novel Spike Sorting Method Based on Semi-supervised Learning. - Guo-Zhu Wen; De-Shuang Huang (ICIC (2), 2008)

One Class Support Vector Machines for Distinguishing Photographs and Graphics. - Huan Xu; De-Shuang Huang (ICNSC, 2008)

An improvement on learning with local and global consistency. - Jie Gui; De-Shuang Huang; Zhuhong You (ICPR, 2008)

Constrained Maximum Variance Mapping. - Bo Li 002; De-Shuang Huang; KunHong Liu 001 (IJCNN, 2008)

Improving the robustness of ISOMAP by de-noising. - Bo Li 002; De-Shuang Huang; Chao Wang 071 (IJCNN, 2008)

Palmprint identification based on directional representation. - Wei Jia 001; De-Shuang Huang; Dacheng Tao; David Zhang 001 (SMC, 2008)

Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation. - De-Shuang Huang (Appl. Math. Comput., 2008)

Classification of plant leaf images with complicated background. - Xiaofeng Wang; De-Shuang Huang; Ji-Xiang Du; Huan Xu; Laurent Heutte (Appl. Math. Comput., 2008)

Cancer classification using Rotation Forest. - KunHong Liu 001; De-Shuang Huang (Comput. Biol. Medicine, 2008)

Gene Expression Data Classification Using Consensus Independent Component Analysis. - Chun-Hou Zheng 001; De-Shuang Huang; Xiangzhen Kong; Xing-Ming Zhao (Genom. Proteom. Bioinform., 2008)

Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. - Peng Chen 001; De-Shuang Huang; Xing-Ming Zhao; Xueling Li (Int. J. Bioinform. Res. Appl., 2008)

Modified constrained learning algorithms incorporating additional functional constraints into neural networks. - Fei Han 001; Qing-Hua Ling; De-Shuang Huang (Inf. Sci., 2008)

A Novel Multi-Layer Level Set Method for Image Segmentation. - Xiaofeng Wang; De-Shuang Huang (J. Univers. Comput. Sci., 2008)

A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks. - Fei Han 001; De-Shuang Huang (Neural Comput. Appl., 2008)

Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm. - KunHong Liu 001; Yong Xu 009; De-Shuang Huang; Min Cheng (Photonic Netw. Commun., 2008)

Palmprint verification based on principal lines. - De-Shuang Huang; Wei Jia 001; David Zhang 001 (Pattern Recognit., 2008)

Palmprint verification based on robust line orientation code. - Wei Jia 001; De-Shuang Huang; David Zhang 001 (Pattern Recognit., 2008)

Feature extraction using constrained maximum variance mapping. - Bo Li 002; De-Shuang Huang; Chao Wang 071; KunHong Liu 001 (Pattern Recognit., 2008)

Locally linear discriminant embedding: An efficient method for face recognition. - Bo Li 002; Chun-Hou Zheng 001; De-Shuang Huang (Pattern Recognit., 2008)

A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks. - De-Shuang Huang; Ji-Xiang Du (IEEE Trans. Neural Networks, 2008)

The analysis of microarray datasets using a genetic programming. - Chun-Gui Xu; KunHong Liu 001; De-Shuang Huang (CIBCB, 2009)

A Novel Local Sensitive Frontier Analysis for Feature Extraction. - Chao Wang 071; De-Shuang Huang; Bo Li 002 (ICIC (2), 2009)

An oscillatory correlation model of object-based attention. - Marcos G. Quiles; DeLiang Wang; Liang Zhao 001; Roseli A. Francelin Romero; De-Shuang Huang (IJCNN, 2009)

Inferring Protein Interactions from Sequence using Support Vector Machine. - Ming-Guang Shi; Min Wu; De-Shuang Huang; Xueling Li (IJCNN, 2009)

Fast Palmprint Retrieval Using Principal Lines. - Wei Jia 001; Yi-Hai Zhu; Ling-Feng Liu; De-Shuang Huang (SMC, 2009)

Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting. - Jisu Kim; De-Shuang Huang; Kyungsook Han (BMC Bioinform., 2009)

Supervised feature extraction based on orthogonal discriminant projection. - Bo Li 002; Chao Wang 071; De-Shuang Huang (Neurocomputing, 2009)

Knowledge Management for Autonomous Systems and Computational Intelligence. - Ngoc Thanh Nguyen 001; De-Shuang Huang (J. Univers. Comput. Sci., 2009)

Advanced intelligent computing theory and methodology. - De-Shuang Huang (Pattern Recognit. Lett., 2009)

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. - Chun-Hou Zheng 001; De-Shuang Huang; Lei Zhang 006; Xiangzhen Kong (IEEE Trans. Inf. Technol. Biomed., 2009)

A Novel Density-Based Clustering Framework by Using Level Set Method. - Xiaofeng Wang; De-Shuang Huang (IEEE Trans. Knowl. Data Eng., 2009)

Orthogonal linear local spline discriminant embedding for face recognition. - Ying-Ke Lei; Rong-Xiang Hu; Lei Tang; Shanwen Zhang; De-Shuang Huang (IJCNN, 2010)

Dimensionality reduction based on minimax risk criterion for face recognition. - Lei Tang; Ying-Ke Lei; Lin Zhu 008; De-Shuang Huang (IJCNN, 2010)

Two-dimensional Neighborhood Discriminant Projection. - Shanwen Zhang; Ying-Ke Lei; De-Shuang Huang (IJCNN, 2010)

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. - Zhuhong You; Ying-Ke Lei; Jie Gui; De-Shuang Huang; Xiaobo Zhou 001 (Bioinform., 2010)

APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility. - Junfeng Xia; Xing-Ming Zhao; Jiangning Song; De-Shuang Huang (BMC Bioinform., 2010)

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network. - Zhuhong You; Zheng Yin; Kyungsook Han; De-Shuang Huang; Xiaobo Zhou 001 (BMC Bioinform., 2010)

Gene expression data classification using locally linear discriminant embedding. - Bo Li 002; Chun-Hou Zheng 001; De-Shuang Huang; Lei Zhang 006; Kyungsook Han (Comput. Biol. Medicine, 2010)

Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction. - Shu-Lin Wang; Xueling Li; Shanwen Zhang; Jie Gui; De-Shuang Huang (Comput. Biol. Medicine, 2010)

A method of tumor classification based on wavelet packet transforms and neighborhood rough set. - Shanwen Zhang; De-Shuang Huang; Shu-Lin Wang (Comput. Biol. Medicine, 2010)

Locality preserving discriminant projections for face and palmprint recognition. - Jie Gui; Wei Jia 001; Ling Zhu; Shu-Ling Wang; De-Shuang Huang (Neurocomputing, 2010)

Maximum margin criterion with tensor representation. - Rong-Xiang Hu; Wei Jia 001; De-Shuang Huang; Ying-Ke Lei (Neurocomputing, 2010)

Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate. - Xing-Ming Zhao; Yiu-ming Cheung; De-Shuang Huang (Int. J. Pattern Recognit. Artif. Intell., 2010)

An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks. - Fei Han 001; Qing-Hua Ling; De-Shuang Huang (Neural Comput. Appl., 2010)

An efficient local Chan-Vese model for image segmentation. - Xiaofeng Wang; De-Shuang Huang; Huan Xu (Pattern Recognit., 2010)

Special issue on advanced intelligent computing theory and methodology. - De-Shuang Huang (Comput. Hum. Behav., 2011)

Selecting salient objects in real scenes: An oscillatory correlation model. - Marcos G. Quiles; DeLiang Wang; Liang Zhao 001; Roseli A. Francelin Romero; De-Shuang Huang (Neural Networks, 2011)

Metasample-Based Sparse Representation for Tumor Classification. - Chun-Hou Zheng 001; Lei Zhang 006; To-Yee Ng; Simon Chi-Keung Shiu; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Molecular Pattern Discovery Based on Penalized Matrix Decomposition. - Chun-Hou Zheng 001; Lei Zhang 006; Vincent To-Yee Ng; Simon Chi-Keung Shiu; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Robust and Efficient Subspace Segmentation via Least Squares Regression. - Can-Yi Lu; Hai Min; Zhong-Qiu Zhao; Lin Zhu 008; De-Shuang Huang; Shuicheng Yan (ECCV (7), 2012)

A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis. - Lin Zhu 008; De-Shuang Huang (IJCNN, 2012)

Introduction: advanced intelligent computing theories and their applications in bioinformatics. - M. Michael Gromiha; De-Shuang Huang (BMC Bioinform., 2012)

Assessing and predicting protein interactions by combining manifold embedding with multiple information integration. - Ying-Ke Lei; Zhuhong You; Zhen Ji; Lin Zhu 008; De-Shuang Huang (BMC Bioinform., 2012)

Robust Classification Method of Tumor Subtype by Using Correlation Filters. - Shu-Ling Wang; Yi-Hai Zhu; Wei Jia 001; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Multiscale Distance Matrix for Fast Plant Leaf Recognition. - Rong-Xiang Hu; Wei Jia 001; Haibin Ling; Deshuang Huang (IEEE Trans. Image Process., 2012)

Completed Local Binary Count for Rotation Invariant Texture Classification. - Yang Zhao 002; De-Shuang Huang; Wei Jia 001 (IEEE Trans. Image Process., 2012)

A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments. - De-Shuang Huang; Wen Jiang 001 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method. - Suping Deng; Jing-Hua Yuan; Deshuang Huang; Zhen Wang 020 (BIBM, 2013)

Dataset reconstruction for protein interface identification using manifold learning method. - Bing Wang 004; De-Shuang Huang (BIBM, 2013)

A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm. - Jair Cervantes; De-Shuang Huang; Xiaoou Li; Wen Yu 001 (CIARP (2), 2013)

Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree. - Kai Yang; Deshuang Huang (ICIC (2), 2013)

Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011). - De-Shuang Huang; DeLiang Wang (Neurocomputing, 2013)

Optimized projections for sparse representation based classification. - Can-Yi Lu; De-Shuang Huang (Neurocomputing, 2013)

The nearest-farthest subspace classification for face recognition. - Jian-Xun Mi; De-Shuang Huang; Bing Wang 004; Xingjie Zhu (Neurocomputing, 2013)

Efficient optimally regularized discriminant analysis. - Lin Zhu 008; De-Shuang Huang (Neurocomputing, 2013)

Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding. - Lin Zhu 008; Zhu-Hong You; De-Shuang Huang (Neurocomputing, 2013)

Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids. - Hong-Jie Yu; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil. - Hong-Jie Yu; De-Shuang Huang (IEEE J. Biomed. Health Informatics, 2013)

MultiP-SChlo: Multi-label protein subchloroplast localization prediction. - Xiao Wang 009; Guo-Zheng Li 001; Qiuwen Zhang; Deshuang Huang (BIBM, 2014)

A two-stage geometric method for detecting unreliable links in protein-protein networks. - Lin Zhu 008; Suping Deng; De-Shuang Huang (BIBM, 2014)

A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets. - Jair Cervantes; De-Shuang Huang; Farid García-Lamont; Asdrúbal López-Chau (ICIC (1), 2014)

Completed hybrid local binary pattern for texture classification. - Jing-Hua Yuan; De-Shuang Huang; Hao-Dong Zhu; Yong Gan (IJCNN, 2014)

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. - Lin Zhu 008; Zhu-Hong You; De-Shuang Huang (ISBRA, 2014)

A novel texture image segmentation model based on multi-scale structure. - Hai Min; Xiao-Feng Wang; De-Shuang Huang (MFI, 2014)

Special issue on advanced intelligent computing theories and methodologies. - De-Shuang Huang (Neurocomputing, 2014)

A Rayleigh-Ritz style method for large-scale discriminant analysis. - Lin Zhu 008; De-Shuang Huang (Pattern Recognit., 2014)

DiscMLA: AUC-based discriminative motif learning. - Hongbo Zhang; Lin Zhu 008; Deshuang Huang (BIBM, 2015)

Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding. - Lin Zhu 008; Wei-Li Guo; De-Shuang Huang; Canyi Lu (BIBM, 2015)

A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization. - Fei Han 001; Dan Yang; Qing-Hua Ling; De-Shuang Huang (IJCNN, 2015)

Identifying cancer-related microRNAs based on gene expression data. - Xing-Ming Zhao; Keqin Liu; Guanghui Zhu; Feng He 004; Béatrice Duval; Jean-Michel Richer; De-Shuang Huang; Changjun Jiang; Jin-Kao Hao; Luonan Chen (Bioinform., 2015)

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. - Zhiwei Ji; Guanmin Meng; Deshuang Huang; Xiao-Qiang Yue; Bing Wang 004 (Comput. Math. Methods Medicine, 2015)

Optimized Projection for Sparse Representation Based Classification. - Canyi Lu; De-Shuang Huang (CoRR, 2015)

An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene. - Suping Deng; De-Shuang Huang (Int. J. Data Min. Bioinform., 2015)

Special issue on advanced intelligent computing theories and applications. - De-Shuang Huang (Neurocomputing, 2015)

Level set method for image segmentation based on moment competition. - Hai Min; Xiao-Feng Wang; De-Shuang Huang; Jing Jin; Hongzhi Wang 007; Hai Li 006 (J. Electronic Imaging, 2015)

ILSES: Identification lysine succinylation-sites with ensemble classification. - Wenzheng Bao; Lin Zhu 008; De-Shuang Huang (BIBM, 2016)

Learning regulatory motifs by direct optimization of Fisher Exact Test Score. - Lin Zhu 008; Ning Li; Wenzheng Bao; De-Shuang Huang (BIBM, 2016)

Prediction of Lysine Acetylation Sites Based on Neural Network. - Wenzheng Bao; Zhichao Jiang; Kyungsook Han; De-Shuang Huang (ICIC (2), 2016)

Analysis of MicroRNA and Transcription Factor Regulation. - Wei-Li Guo; Kyungsook Han; De-Shuang Huang (ICIC (1), 2016)

Prediction of Target Genes Based on Multiway Integration of High-Throughput Data. - Wei-Li Guo; Kyungsook Han; De-Shuang Huang (ICIC (1), 2016)

Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression. - Lin Yuan 001; Kyungsook Han; De-Shuang Huang (ICIC (3), 2016)

Visual data completion via local sensitive low rank tensor learning. - Qing-Yi Liu; Lin Zhu 008; De-Shuang Huang; Gang Wang; Xiao-Ping (Steven) Zhang; Li Shang; Zhi-Kai Huang (IJCNN, 2016)

Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network. - Gang Wang; De-Shuang Huang (IJCNN, 2016)

Understanding tissue-specificity with human tissue-specific regulatory networks. - Wei-Li Guo; Lin Zhu 008; Suping Deng; Xing-Ming Zhao; Deshuang Huang (Sci. China Inf. Sci., 2016)

Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports]. - Yoonsuck Choe; Asim Roy; Haibo He; De-Shuang Huang (IEEE Comput. Intell. Mag., 2016)

A novel dual minimization based level set method for image segmentation. - Hai Min; Xiao-Feng Wang; De-Shuang Huang; Wei Jia 001 (Neurocomputing, 2016)

Special issue on Advanced Intelligent Computing Methodologies and Applications. - Lin Zhu 008; Vitoantonio Bevilacqua; De-Shuang Huang (Neurocomputing, 2016)

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks. - Suping Deng; Lin Zhu 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition. - Lin Zhu 008; Wei-Li Guo; Suping Deng; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Random Walk-Based Solution to Triple Level Stochastic Point Location Problem. - Wen Jiang 001; De-Shuang Huang; Shenghong Li 001 (IEEE Trans. Cybern., 2016)

Soft-bag based motif discovery for ChIP-seq datasets. - Hongbo Zhang; De-Shuang Huang (BIBM, 2017)

Cross-validated smooth multi-instance learning. - Dayuan Li; Lin Zhu 008; Wenzheng Bao; Fei Cheng; Yi Ren; De-Shuang Huang (IJCNN, 2017)

Convex local sensitive low rank matrix approximation. - Chong-Ya Li; Lin Zhu 008; Wenzheng Bao; Yong-Li Jiang; Chang-An Yuan 001; De-Shuang Huang (IJCNN, 2017)

Direct AUC optimization of regulatory motifs. - Lin Zhu 008; Hong-Bo Zhang; De-Shuang Huang (Bioinform., 2017)

Novel human microbe-disease association prediction using network consistency projection. - Wenzheng Bao; Zhichao Jiang; De-Shuang Huang (BMC Bioinform., 2017)

miRNA-Disease Association Prediction with Collaborative Matrix Factorization. - Zhen Shen; You-Hua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (Complex., 2017)

FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. - Lin Yuan 001; Chang-An Yuan 001; De-Shuang Huang (Complex., 2017)

Pupylation sites prediction with ensemble classification model. - Wenzheng Bao; Zhenhua Huang 005; Chang-An Yuan 001; De-Shuang Huang (Int. J. Data Min. Bioinform., 2017)

Multi-task ranking SVM for image cosegmentation. - Xianpeng Liang; Lin Zhu 008; De-Shuang Huang (Neurocomputing, 2017)

Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications. - Lin Zhu 008; Suping Deng; De-Shuang Huang (Neurocomputing, 2017)

An improved method for predicting interactions between virus and human proteins. - Byungmin Kim; Saud Alguwaizani; Xiang Zhou; De-Shuang Huang; Byunkyu Park; Kyungsook Han (J. Bioinform. Comput. Biol., 2017)

Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data. - Su-Ping Deng; Shaolong Cao; De-Shuang Huang; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information. - Fei Han 001; Chun Yang; Ya-Qi Wu; Jiansheng Zhu; Qing-Hua Ling; Yuqing Song 001; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data. - Feng He 004; Guanghui Zhu; Yin-Ying Wang; Xing-Ming Zhao; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping. - Lin Yuan 001; Lin Zhu 008; Wei-Li Guo; Xiaobo Zhou 001; Youhua Zhang; Zhenhua Huang 005; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding. - Lin Zhu 008; Suping Deng; Zhu-Hong You; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. - Basma Abdulaimma; Abir Hussain; Paul Fergus; Dhiya Al-Jumeily; Paulo Lisboa; De-Shuang Huang; Naeem Radi (CEC, 2018)

A Hybrid Deep Model for Person Re-Identification. - Di Wu 030; Si-Jia Zheng; Fei Cheng; Yang Zhao 002; Chang-An Yuan 001; Xiao Qin 005; Yong-Li Jiang; De-Shuang Huang (ICIC (3), 2018)

A Simple and Effective Deep Model for Person Re-identification. - Si-Jia Zheng; Di Wu 030; Fei Cheng; Yang Zhao 002; Chang-An Yuan 001; Xiao Qin 005; De-Shuang Huang (ICIC (3), 2018)

Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion. - Chen Peng; Liang Zou; De-Shuang Huang (IEEE Access, 2018)

iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach. - Bin Liu 014; Kai Li; De-Shuang Huang; Kuo-Chen Chou (Bioinform., 2018)

iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC. - Bin Liu 014; Fan Weng; De-Shuang Huang; Kuo-Chen Chou (Bioinform., 2018)

iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC. - Bin Liu 014; Fan Yang; De-Shuang Huang; Kuo-Chen Chou (Bioinform., 2018)

Random Occlusion-recovery for Person Re-identification. - Di Wu 030; Kun Zhang; Si-Jia Zheng; De-Shuang Huang (CoRR, 2018)

Omni-directional Feature Learning for Person Re-identification. - Di Wu 030; Hong-Wei Yang; De-Shuang Huang (CoRR, 2018)

Image segmentation fusion using weakly supervised trace-norm multi-task learning method. - Xianpeng Liang; De-Shuang Huang (IET Image Process., 2018)

Mutli-Features Prediction of Protein Translational Modification Sites. - Wenzheng Bao; Chang-An Yuan 001; Youhua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning. - Xianpeng Liang; Lin Zhu 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets. - Hongbo Zhang; Lin Zhu 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

LMMO: A Large Margin Approach for Refining Regulatory Motifs. - Lin Zhu 008; Hong-Bo Zhang; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Convolutional Capsule-Based Network for Person Re-identification. - Andong Li; Di Wu 030; De-Shuang Huang; Lijun Zhang (ICIC (1), 2019)

P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos. - Jiangchuan Wei; Hanli Wang; Yun Yi; Qinyu Li; Deshuang Huang (ICIP, 2019)

Data Driven Regularization for Convolutional Neural Networks on Image Classification. - Yihao Chen; Hanli Wang; Qinyu Li; Deshuang Huang (ISCAS, 2019)

IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC. - Wenzheng Bao; Bin Yang 017; De-Shuang Huang; Dong Wang 021; Qi Liu 019; Yuehui Chen; Rong Bao (IEEE Access, 2019)

Omnidirectional Feature Learning for Person Re-Identification. - Di Wu 030; Hong-Wei Yang; De-Shuang Huang; Chang-An Yuan 001; Xiao Qin 005; Yang Zhao 002; Xin-Yong Zhao; Jian-Hong Sun (IEEE Access, 2019)

Guest editorial for special section on the 13th international conference on intelligent computing (ICIC). - De-Shuang Huang (Cogn. Syst. Res., 2019)

A deep model with combined losses for person re-identification. - Di Wu 030; Si-Jia Zheng; Chang-An Yuan 001; De-Shuang Huang (Cogn. Syst. Res., 2019)

Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification. - Di Wu 030; Chao Wang 071; Yong Wu; De-Shuang Huang (CoRR, 2019)

A novel deep model with multi-loss and efficient training for person re-identification. - Di Wu 030; Si-Jia Zheng; Wenzheng Bao; Xiao-Ping (Steven) Zhang; Chang-An Yuan 001; De-Shuang Huang (Neurocomputing, 2019)

Deep learning-based methods for person re-identification: A comprehensive review. - Di Wu 030; Si-Jia Zheng; Xiao-Ping (Steven) Zhang; Chang-An Yuan 001; Fei Cheng; Yang Zhao 002; Yong-Jun Lin; Zhong-Qiu Zhao; Yong-Li Jiang; De-Shuang Huang (Neurocomputing, 2019)

Robust dimensionality reduction via feature space to feature space distance metric learning. - Bo Li 002; Zhang-Tao Fan; Xiao-Long Zhang; De-Shuang Huang (Neural Networks, 2019)

Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. - Lin Yuan 001; Lehang Guo; Chang-an Yuan 001; Youhua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites. - Qinhu Zhang; Lin Zhu 008; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Image Co-Segmentation via Locally Biased Discriminative Clustering. - Xianpeng Liang; Di Wu 030; De-Shuang Huang (IEEE Trans. Knowl. Data Eng., 2019)

A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. - Hai-Cheng Yi; Zhu-Hong You; Xiao-Rui Su 001; De-Shuang Huang; Zhen-Hao Guo (ICIC (2), 2020)

An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network. - Lei Wang 121; Zhu-Hong You; Yu-An Huang; De-Shuang Huang; Keith C. C. Chan (Bioinform., 2020)

Special issue on advanced intelligent computing: Theory and applications. - De-Shuang Huang (Neurocomputing, 2020)

Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes. - Chen Peng; Yang Zheng; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Capsule Network for Predicting RNA-Protein Binding Preferences Using Hybrid Feature. - Zhen Shen; Su-Ping Deng; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks. - Zhen Shen; Su-Ping Deng; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions. - Lei Wang 121; Zhu-Hong You; De-Shuang Huang; Fengfeng Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding. - Qinhu Zhang; Lin Zhu 008; Wenzheng Bao; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. - Zhen-Hao Guo; Zhu-Hong You; De-Shuang Huang; Hai-Cheng Yi; Kai Zheng 020; Zhan-Heng Chen; Yan-Bin Wang (Briefings Bioinform., 2021)

A survey on deep learning in DNA/RNA motif mining. - Ying He; Zhen Shen; Qinhu Zhang; Siguo Wang; De-Shuang Huang (Briefings Bioinform., 2021)

Locating transcription factor binding sites by fully convolutional neural network. - Qinhu Zhang; Siguo Wang; Zhanheng Chen; Ying He; Qi Liu 019; De-Shuang Huang (Briefings Bioinform., 2021)

Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. - Qinhu Zhang; Vitoantonio Bevilacqua; De-Shuang Huang (Neurocomputing, 2021)

Preface. - Yi Pan 001; De-Shuang Huang; Jian-Xin Wang 001; Fa Zhang 001 (J. Comput. Sci. Technol., 2021)

Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask. - Yong Wu; Kun Zhang; Di Wu 030; Chao Wang 071; Chang-an Yuan 001; Xiao Qin 005; Tao Zhu; Yuchuan Du; Hanli Wang; De-Shuang Huang (IEEE Trans. Cogn. Dev. Syst., 2021)

Guest Editorial for Special Section on the 15th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Vitoantonio Bevilacqua; M. Michael Gromiha (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. - Hai-Cheng Yi; Zhu-Hong You; Zhen-Hao Guo; De-Shuang Huang; Keith C. C. Chan (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape. - Qinhu Zhang; Zhen Shen; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme. - Qinhu Zhang; Dailun Wang; Kyungsook Han; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites. - Qinhu Zhang; Wenbo Yu; Kyungsook Han; Asoke K. Nandi; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification. - Di Wu 030; Chao Wang 071; Yong Wu; Qicong Wang; De-Shuang Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

3-D Facial Landmarks Detection for Intelligent Video Systems. - Van-Thanh Hoang; De-Shuang Huang; Kang-Hyun Jo (IEEE Trans. Ind. Informatics, 2021)

Graph representation learning in bioinformatics: trends, methods and applications. - Hai-Cheng Yi; Zhu-Hong You; De-Shuang Huang; Chee Keong Kwoh 001 (Briefings Bioinform., 2022)

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification. - Qi Lai; Jianhang Zhou; Yanfen Gan; Chi-Man Vong; Deshuang Huang (CoRR, 2022)

Recent development on intelligent computing. - De-Shuang Huang (Neurocomputing, 2022)

Base-resolution prediction of transcription factor binding signals by a deep learning framework. - Qinhu Zhang; Ying He; Siguo Wang; Zhanheng Chen; Zhen-Hao Guo; Zhen Cui; Qi Liu 019; De-Shuang Huang (PLoS Comput. Biol., 2022)

Joint operation and attention block search for lightweight image restoration. - Hao Shen 006; Zhong-Qiu Zhao; Wenrui Liao; Weidong Tian 001; De-Shuang Huang (Pattern Recognit., 2022)

Hierarchical Graph Pooling With Self-Adaptive Cluster Aggregation. - Zhi-Peng Li 002; Hai-Long Su; Xiaobo Zhu; Xiumei Wei; Xuesong Jiang; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE Trans. Cogn. Dev. Syst., 2022)

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. - Zhen Cui; Zhan-Heng Chen; Qinhu Zhang; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC). - De-Shuang Huang; Kyungsook Han; Tatsuya Akutsu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network. - Zhen Shen; Qinhu Zhang; Kyungsook Han; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. - Qinhu Zhang; Yindong Zhang; Siguo Wang; Zhan-Heng Chen; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms. - Jianbin Huang; Longji Huang; Meijuan Liu; He Li 006; Qinglin Tan; Xiaoke Ma 001; Jiangtao Cui; De-Shuang Huang (ACM Trans. Intell. Syst. Technol., 2022)

Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction. - He Li 006; Xuejiao Li; Liangcai Su; Duo Jin; Jianbin Huang; Deshuang Huang (ACM Trans. Intell. Syst. Technol., 2022)

NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. - Lei Wang 121; Leon Wong; Zhu-Hong You; De-Shuang Huang; Xiao-Rui Su 001; Bo-Wei Zhao (IEEE J. Biomed. Health Informatics, 2022)

DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. - Siguo Wang; Qinhu Zhang; Ying He; Zhen Cui; Zhen-Hao Guo; Kyungsook Han; De-Shuang Huang (PLoS Comput. Biol., 2022)

FasterPlateNet: A Faster Deep Neural Network for License Plate Detection and Recognition. - Lei Huang; De-Shuang Huang; Yuan Yuan Chen; Yu Zhong Peng; Chao Wang 071; Jianping Liao (ICAI (1), 2023)

A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification. - Tianying Yan; Changhai Wang; Changan Yuan 001; De-Shuang Huang (ICAI (2), 2023)

iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. - Lin Yuan 001; Jiawang Zhao; Zhen Shen; Qinhu Zhang; Yushui Geng; Chun-Hou Zheng 001; De-Shuang Huang (PLoS Comput. Biol., 2023)

Hierarchical Graph Neural Network Based on Semi-Implicit Variational Inference. - Hai-Long Su; Zhi-Peng Li 002; Xiaobo Zhu; Lina Yang; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; Anthony G. Cohn 001; De-Shuang Huang (IEEE Trans. Cogn. Dev. Syst., 2023)

Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification. - Yong Wu; Guo-Dui He; Li-Hua Wen; Xiao Qin 005; Chang-an Yuan 001; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. - Ying He; Qinhu Zhang; Siguo Wang; Zhanheng Chen; Zhen Cui; Zhen-Hao Guo; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. - Qinhu Zhang; Youhong Xu; Siguo Wang; Yong Wu; Yuan-Nong Ye; Chang-An Yuan 001; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association. - Lei Wang 121; Zhu-Hong You; De-Shuang Huang; Jianqiang Li 001 (IEEE Trans. Cybern., 2023)

DMGF-Net: An Efficient Dynamic Multi-Graph Fusion Network for Traffic Prediction. - He Li 006; Duo Jin; Xuejiao Li; Jianbin Huang; Xiaoke Ma 001; Jiangtao Cui; Deshuang Huang; Shaojie Qiao; Jaesoo Yoo (ACM Trans. Knowl. Discov. Data, 2023)

Computational prediction and characterization of cell-type-specific and shared binding sites. - Qinhu Zhang; Pengrui Teng; Siguo Wang; Ying He; Zhen Cui; Zhenghao Guo; Yixin Liu; Changan Yuan 001; Qi Liu 019; De-Shuang Huang (Bioinform., 2023)

Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. - Xiaorui Su 001; Zhuhong You; Deshuang Huang; Lei Wang 121; Leon Wong; Boya Ji; Bowei Zhao (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Selection Based Motif for Dynamic Community Detection. - Huixin Ma; Tianying Yan; Changhai Wang; Changan Yuan 001; De-Shuang Huang (ICAI (2), 2024)

A Self-Supervised Transfer Learning Framework for Gland Segmentation in Colorectal Cancer Histopathology with Limited Labeled Data. - Huer Wen; Yan Wu 011; De-Shuang Huang (ICAI (1), 2024)

Generalizable Multi-spectral Vehicle Re-identification via Decoupled Subspaces. - Tianying Yan; Huixin Ma; Changhai Wang; Changan Yuan 001; De-Shuang Huang (ICAI (2), 2024)

scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning. - Lin Yuan 001; Shengguo Sun; Yufeng Jiang; Qinhu Zhang; Lan Ye; Chun-Hou Zheng 001; De-Shuang Huang (Briefings Bioinform., 2024)

scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data. - Lin Yuan 001; Ling Zhao; Yufeng Jiang; Zhen Shen; Qinhu Zhang; Ming Zhang; Chun-Hou Zheng 001; De-Shuang Huang (Briefings Bioinform., 2024)

Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation. - Zejun Gu; Zhong-Qiu Zhao; Henghui Ding; Hao Shen 006; Zhao Zhang 001; De-Shuang Huang (CoRR, 2024)

Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. - Lin Yuan 001; Shengguo Sun; Qinhu Zhang; Hai-Tao Li; Zhen Shen; Chunyu Hu 001; Xiaogang Zhao; Lan Ye; Chun-Hou Zheng 001; De-Shuang Huang (Future Gener. Comput. Syst., 2024)

Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. - Pengrui Teng; Wenjian Liu; Xuesong Wang 001; Di Wu 030; Chang-an Yuan 001; Yuhu Cheng; De-Shuang Huang (Neurocomputing, 2024)

iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites. - Lin Yuan 001; Ling Zhao; Jinling Lai; Yufeng Jiang; Qinhu Zhang; Zhen Shen; Chun-Hou Zheng 001; De-Shuang Huang (PLoS Comput. Biol., 2024)

Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral Image. - Yun Ding; Mingyang Hou; Yao Ding 010; Chun-Hou Zheng 001; Qing Yan; De-Shuang Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

SSPool: A Simple Siamese Framework for Graph Infomax Pooling. - Zhi-Peng Li 002; Hai-Long Su; Xiaobo Zhu; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE Trans. Netw. Sci. Eng., 2024)

scCorrector: a robust method for integrating multi-study single-cell data. - Zhen-Hao Guo; Yan-Bin Wang; Siguo Wang; Qinhu Zhang; De-Shuang Huang (Briefings Bioinform., 2024)

GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. - Lei Wang 121; Zheng-Wei Li 001; Zhu-Hong You; De-Shuang Huang; Leon Wong (IEEE J. Biomed. Health Informatics, 2024)

MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. - Lei Wang 121; Zheng-Wei Li 001; Zhu-Hong You; De-Shuang Huang; Leon Wong (IEEE J. Biomed. Health Informatics, 2024)

Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. - Zhi-Peng Li 002; Hai-Long Su; Yong Wu; Qinhu Zhang; Chang-an Yuan 001; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE Trans. Artif. Intell., 2024)

AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association. - Lei Wang 121; Leon Wong; Zhu-Hong You; De-Shuang Huang (IEEE Trans. Big Data, 2024)

Predicting Antibiotic Resistance Genes Using a Hybrid Dataset with NT Model and BLAST Validation. - Xian-Jing Zhang; Xu-Ying Lin; Wen-Jian Liu; Pengrui Teng; Qin-hu Zhang; De-Shuang Huang (ICIC (25), 2025)

RGCN-BA: relational graph convolutional network with batch awareness for single-cell RNA sequencing clustering. - Yueyue Wang; Pengrui Teng; Zheyu Wu; Yuna Zhang; Zhisen Shen; Qinhu Zhang; De-Shuang Huang (Briefings Bioinform., 2025)

Learning adaptive distractor-aware-suppression appearance model for visual tracking. - Huanlong Zhang; Linwei Zhu; Yanchun Zhao; Fusheng Li; Deshuang Huang (Eng. Appl. Artif. Intell., 2025)

GPPT: Graph pyramid pooling transformer for visual scene. - Zhi-Peng Li; Wen-Jian Liu; Xin Sun; Yi-Jie Pan; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; Anthony G. Cohn 001; De-Shuang Huang (Neurocomputing, 2025)

A brief survey of deep learning-based models for CircRNA-protein binding sites prediction. - Zhen Shen; Lin Yuan 001; Wenzheng Bao; Siguo Wang; Qinhu Zhang; De-Shuang Huang (Neurocomputing, 2025)

Spatio-temporal graph-based self-labeling for video anomaly detection. - Meng Xing; Zhiyong Feng 002; Yong Su; Yiming Zhang; Changjae Oh; Valeriya V. Gribova; Vladimir Fedorovich Filaretoy; Deshuang Huang (Neurocomputing, 2025)

Cross-Scale Feature Interaction Network for Semantic Segmentation in Side-Scan Sonar Images. - Zhen Wang 020; Zhuhong You; Nan Xu; Buhong Wang; De-Shuang Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

UAVSeg: Dual-Encoder Cross-Scale Attention Network for UAV Images' Semantic Segmentation. - Zhen Wang 020; Zhu-Hong You; Nan Xu; Chuanlei Zhang; De-Shuang Huang (IEEE Trans. Geosci. Remote. Sens., 2025)

Variational Graph Neural Network Based on Normalizing Flows. - Hailong Su; Zhipeng Li 002; Chang-an Yuan 001; Vladimir F. Filaretov; Deshuang Huang (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Variational graph neural network with diffusion prior for link prediction. - Hailong Su; Zhipeng Li 002; Chang-An Yuan 001; Vladimir F. Filaretov; De-Shuang Huang (Appl. Intell., 2025)

Exact Fit Attention in Node-Holistic Graph Convolutional Network for Improved EEG-Based Driver Fatigue Detection. - Meiyan Xu; Qingqing Chen; Duo Chen; Yi Ding; Jingyuan Wang; Peipei Gu; Yijie Pan; Deshuang Huang; Xun Zhang; Jiayang Guo (CoRR, 2025)

Graph pooling for graph-level representation learning: a survey. - Zhi-Peng Li 002; Siguo Wang; Qinhu Zhang; Yi-Jie Pan; Naian Xiao; Jiayang Guo; Chang-An Yuan 001; Wen-Jian Liu; De-Shuang Huang (Artif. Intell. Rev., 2025)

Integrating Transformer and Graph Attention Network for circRNA-miRNA Interaction Prediction. - Mengmeng Wei; Lei Wang 121; Bo-Wei Zhao; Xiao-Rui Su 001; Zhu-Hong You; De-Shuang Huang (IEEE J. Biomed. Health Informatics, 2025)

Ink removal by design: Leveraging structural cues for efficient and generalizable ink removal in whole slide pathology. - Huer Wen; Yan Wu 011; De-Shuang Huang (Expert Syst. Appl., 2026)

Unbiased Spatial-Temporal Atomic Fusion-based Zero-Shot Action Recognition. - Meng Xing; Zhiyong Feng 002; Shuang Zhu; Yong Su; Valeriya V. Gribova; Vladimir Fedorovich Filaretoy; Deshuang Huang (Inf. Fusion, 2026)