De-Shuang Huang
Orcid: 0000-0002-6759-2691
According to our database1,
De-Shuang Huang
authored at least 306 papers
between 1995 and 2024.
Collaborative distances:
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Bibliography
2024
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association.
IEEE Trans. Big Data, August, 2024
IEEE Trans. Artif. Intell., June, 2024
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, March, 2024
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association.
IEEE J. Biomed. Health Informatics, March, 2024
Briefings Bioinform., January, 2024
IEEE Trans. Netw. Sci. Eng., 2024
Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation.
Neurocomputing, 2024
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.
Future Gener. Comput. Syst., 2024
CoRR, 2024
2023
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction.
IEEE Trans. Knowl. Data Eng., June, 2023
Computational prediction and characterization of cell-type-specific and shared binding sites.
Bioinform., January, 2023
ACM Trans. Knowl. Discov. Data, 2023
IEEE Trans. Cybern., 2023
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification.
IEEE Trans. Biom. Behav. Identity Sci., 2023
IEEE Trans. Cogn. Dev. Syst., 2023
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
PLoS Comput. Biol., 2023
Proceedings of the Applied Intelligence - First International Conference, 2023
FasterPlateNet: A Faster Deep Neural Network for License Plate Detection and Recognition.
Proceedings of the Applied Intelligence - First International Conference, 2023
2022
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.
PLoS Comput. Biol., October, 2022
IEEE J. Biomed. Health Informatics, 2022
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction.
ACM Trans. Intell. Syst. Technol., 2022
ACM Trans. Intell. Syst. Technol., 2022
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Pattern Recognit., 2022
Base-resolution prediction of transcription factor binding signals by a deep learning framework.
PLoS Comput. Biol., 2022
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification.
CoRR, 2022
Briefings Bioinform., 2022
2021
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Guest Editorial for Special Section on the 15<sup>th</sup> International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask.
IEEE Trans. Cogn. Dev. Syst., 2021
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era.
Neurocomputing, 2021
Briefings Bioinform., 2021
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
Briefings Bioinform., 2021
2020
Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding.
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Neurocomputing, 2020
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.
Bioinform., 2020
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model.
Proceedings of the Intelligent Computing Theories and Application, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Robust dimensionality reduction via feature space to feature space distance metric learning.
Neural Networks, 2019
Neurocomputing, 2019
A novel deep model with multi-loss and efficient training for person <i>re</i>-identification.
Neurocomputing, 2019
CoRR, 2019
Cogn. Syst. Res., 2019
Guest editorial for special section on the 13th international conference on intelligent computing (ICIC).
Cogn. Syst. Res., 2019
IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC.
IEEE Access, 2019
Data Driven Regularization for Convolutional Neural Networks on Image Classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Image segmentation fusion using weakly supervised trace-norm multi-task learning method.
IET Image Process., 2018
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.
Bioinform., 2018
Bioinform., 2018
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach.
Bioinform., 2018
Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion.
IEEE Access, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
J. Bioinform. Comput. Biol., 2017
Neurocomputing, 2017
Int. J. Data Min. Bioinform., 2017
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis.
Complex., 2017
Complex., 2017
Novel human microbe-disease association prediction using network consistency projection.
BMC Bioinform., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
IEEE Trans. Cybern., 2016
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC).
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Neurocomputing, 2016
Neurocomputing, 2016
Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
IEEE Comput. Intell. Mag., 2016
Sci. China Inf. Sci., 2016
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
J. Electronic Imaging, 2015
Neurocomputing, 2015
An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene.
Int. J. Data Min. Bioinform., 2015
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma.
Comput. Math. Methods Medicine, 2015
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Pattern Recognit., 2014
Neurocomputing, 2014
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
A two-stage geometric method for detecting unreliable links in protein-protein networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil.
IEEE J. Biomed. Health Informatics, 2013
Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding.
Neurocomputing, 2013
Neurocomputing, 2013
Neurocomputing, 2013
Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011).
Neurocomputing, 2013
Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree.
Proceedings of the Intelligent Computing Theories and Technology, 2013
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
Dataset reconstruction for protein interface identification using manifold learning method.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
IEEE Trans. Syst. Man Cybern. Part B, 2012
IEEE Trans. Image Process., 2012
IEEE Trans. Image Process., 2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Assessing and predicting protein interactions by combining manifold embedding with multiple information integration.
BMC Bioinform., 2012
Introduction: advanced intelligent computing theories and their applications in bioinformatics.
BMC Bioinform., 2012
A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Neural Networks, 2011
Comput. Hum. Behav., 2011
2010
An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
Neural Comput. Appl., 2010
Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate.
Int. J. Pattern Recognit. Artif. Intell., 2010
Neurocomputing, 2010
A method of tumor classification based on wavelet packet transforms and neighborhood rough set.
Comput. Biol. Medicine, 2010
Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.
Comput. Biol. Medicine, 2010
Comput. Biol. Medicine, 2010
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.
BMC Bioinform., 2010
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.
BMC Bioinform., 2010
Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data.
Bioinform., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
IEEE Trans. Knowl. Data Eng., 2009
IEEE Trans. Inf. Technol. Biomed., 2009
J. Univers. Comput. Sci., 2009
Neurocomputing, 2009
Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting.
BMC Bioinform., 2009
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2008
A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks.
IEEE Trans. Neural Networks, 2008
Pattern Recognit., 2008
Pattern Recognit., 2008
Pattern Recognit., 2008
Photonic Netw. Commun., 2008
A new constrained learning algorithm for function approximation by encoding <i>a priori</i> information into feedforward neural networks.
Neural Comput. Appl., 2008
J. Univers. Comput. Sci., 2008
Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
Inf. Sci., 2008
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function.
Int. J. Bioinform. Res. Appl., 2008
Genom. Proteom. Bioinform., 2008
Appl. Math. Comput., 2008
Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation.
Appl. Math. Comput., 2008
Proceedings of the IEEE International Conference on Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
2007
IEEE Trans. Neural Networks, 2007
Pattern Recognit. Lett., 2007
Pattern Recognit., 2007
Neurocomputing, 2007
Shape recognition based on neural networks trained by differential evolution algorithm.
Neurocomputing, 2007
Appl. Math. Comput., 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method.
Proceedings of the Third International Conference on Natural Computation, 2007
Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Improving the performance of ICA based microarray data prediction models with genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Pattern classification with a PSO optimization based elliptical basis function neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
IEEE Trans. Neural Networks, 2006
Nonnegative independent component analysis based on minimizing mutual information technique.
Neurocomputing, 2006
Feature selection in independent component subspace for microarray data classification.
Neurocomputing, 2006
Neurocomputing, 2006
Neurocomputing, 2006
Neurocomputing, 2006
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network.
Neurocomputing, 2006
Improved extreme learning machine for function approximation by encoding a priori information.
Neurocomputing, 2006
A novel full structure optimization algorithm for radial basis probabilistic neural networks.
Neurocomputing, 2006
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., 2006
Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346].
Digit. Signal Process., 2006
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation
CoRR, 2006
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
Bioinform., 2006
Improved constrained learning algorithms by incorporating additional functional constraints into neural networks.
Appl. Math. Comput., 2006
Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.
Proceedings of the Computational Intelligence and Bioinformatics, 2006
A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition.
Proceedings of the Intelligent Computing, 2006
Proceedings of the Computational Intelligence and Bioinformatics, 2006
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
2005
IEEE Trans. Neural Networks, 2005
IEEE Trans. Neural Networks, 2005
IEEE Signal Process. Lett., 2005
Improving protein secondary structure prediction by using the residue conformational classes.
Pattern Recognit. Lett., 2005
Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction.
Pattern Recognit. Lett., 2005
Neural Process. Lett., 2005
A novel approach to extracting features from motif content and protein composition for protein sequence classification.
Neural Networks, 2005
IEEE Geosci. Remote. Sens. Lett., 2005
A novel robust regression approach of Lidar signal based on modified least squares support vector machine.
Int. J. Pattern Recognit. Artif. Intell., 2005
Digit. Signal Process., 2005
Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms.
Appl. Math. Comput., 2005
A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials.
Appl. Math. Comput., 2005
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
A constructive approach for finding arbitrary roots of polynomials by neural networks.
IEEE Trans. Neural Networks, 2004
Pattern Recognit. Lett., 2004
Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme.
J. Comput. Aided Mol. Des., 2004
Int. J. Pattern Recognit. Artif. Intell., 2004
Attractability and location of equilibrium point of cellular neural networks with time-varying delays.
Int. J. Neural Syst., 2004
Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method.
Sci. China Ser. F Inf. Sci., 2004
Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction.
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
Extracting Target Information in Multispectral Images Using a Modified KPCA Approach.
Proceedings of the Advances in Neural Networks, 2004
Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Protein secondary structure prediction based on the amino acids conformational classification and neural network technique.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the 8th International Conference on Control, 2004
Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Finding the maximum modulus roots of polynomials based on constrained neural networks.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
1999
The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough.
J. Comput. Sci. Technol., 1999
Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets.
Int. J. Pattern Recognit. Artif. Intell., 1999
A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets.
Int. J. Pattern Recognit. Artif. Intell., 1999
Gradient-Newton Learning Algorithm for Feedforward Neural Networks.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999
Neural Pattern Analyses Based on a Novel Error Cost Function.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
On the conditions of outer-supervised feedforward neural networks for null cost learning.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
The local minima-free condition of feedforward neural networks for outer-supervised learning.
IEEE Trans. Syst. Man Cybern. Part B, 1998
1997
The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition.
Int. J. Pattern Recognit. Artif. Intell., 1997
1995
Proceedings of the 1995 International Conference on Acoustics, 1995