Naiyang Deng

According to our database1, Naiyang Deng authored at least 86 papers between 1994 and 2020.

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Bibliography

2020
<i>ν</i>-projection twin support vector machine for pattern classification.
Neurocomputing, 2020

Collaborative weighted multi-view feature extraction.
Eng. Appl. Artif. Intell., 2020

Principal Component Analysis Based on T𝓁<sub>1</sub>-norm Maximization.
CoRR, 2020

Multiple Flat Projections for Cross-manifold Clustering.
CoRR, 2020

2019
Joint sample and feature selection via sparse primal and dual LSSVM.
Knowl. Based Syst., 2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.
Knowl. Based Syst., 2019

2DRLPP: Robust two-dimensional locality preserving projection with regularization.
Knowl. Based Syst., 2019

Robust bilateral Lp-norm two-dimensional linear discriminant analysis.
Inf. Sci., 2019

Single Versus Union: Non-parallel Support Vector Machine Frameworks.
CoRR, 2019

2018
Sparse <i>L<sub>q</sub></i>-norm least squares support vector machine with feature selection.
Pattern Recognit., 2018

Insensitive stochastic gradient twin support vector machines for large scale problems.
Inf. Sci., 2018

Robust <i>L</i><sub>1</sub>-norm multi-weight vector projection support vector machine with efficient algorithm.
Neurocomputing, 2018

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm.
CoRR, 2018

Generalized two-dimensional linear discriminant analysis with regularization.
CoRR, 2018

2017
Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2017

Application of image recognition in civil aviation security based on tensor learning.
J. Intell. Fuzzy Syst., 2017

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.
CoRR, 2017

Robust L<sub>p</sub>-norm least squares support vector regression with feature selection.
Appl. Math. Comput., 2017

2016
MLTSVM: A novel twin support vector machine to multi-label learning.
Pattern Recognit., 2016

MBLDA: A novel multiple between-class linear discriminant analysis.
Inf. Sci., 2016

Weighted Lagrange ε-twin support vector regression.
Neurocomputing, 2016

Extensive semi-quantitative regression.
Neurocomputing, 2016

Novel Grouping Method-based support vector machine plus for structured data.
Neurocomputing, 2016

Computational probing protein-protein interactions targeting small molecules.
Bioinform., 2016

2015
Twin Support Vector Machine for Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2015

Robust L1-norm two-dimensional linear discriminant analysis.
Neural Networks, 2015

Manifold proximal support vector machine with mixed-norm for semi-supervised classification.
Neural Computing and Applications, 2015

Weighted linear loss twin support vector machine for large-scale classification.
Knowl. Based Syst., 2015

The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense.
J. Optim. Theory Appl., 2015

Laplacian unit-hyperplane learning from positive and unlabeled examples.
Inf. Sci., 2015

Combined outputs framework for twin support vector machines.
Appl. Intell., 2015

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification.
Pattern Recognit., 2014

A novel feature selection method for twin support vector machine.
Knowl. Based Syst., 2014

Nonparallel hyperplane support vector machine for binary classification problems.
Inf. Sci., 2014

Biased p-norm support vector machine for PU learning.
Neurocomputing, 2014

Laplacian p-norm proximal support vector machine for semi-supervised classification.
Neurocomputing, 2014

A proximal classifier with positive and negative local regions.
Neurocomputing, 2014

Laplacian least squares twin support vector machine for semi-supervised classification.
Neurocomputing, 2014

Sparse least square twin support vector machine with adaptive norm.
Appl. Intell., 2014

Weighted Linear Loss Support Vector Machine for Large Scale Problems.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Proximal Classifier via Absolute Value Inequalities.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Improved Generalized Eigenvalue Proximal Support Vector Machine.
IEEE Signal Process. Lett., 2013

Mixed-norm linear support vector machine.
Neural Computing and Applications, 2013

Adaptive feature selection via a new version of support vector machine.
Neural Computing and Applications, 2013

An ε-twin support vector machine for regression.
Neural Computing and Applications, 2013

A novel margin-based twin support vector machine with unity norm hyperplanes.
Neural Computing and Applications, 2013

Constructing support vector machine ensemble with segmentation for imbalanced datasets.
Neural Computing and Applications, 2013

A regularization for the projection twin support vector machine.
Knowl. Based Syst., 2013

A proximal classifier with consistency.
Knowl. Based Syst., 2013

Network predicting drug's anatomical therapeutic chemical code.
Bioinform., 2013

Least squares twin parametric-margin support vector machine for classification.
Appl. Intell., 2013

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Proximal Plane Clustering via Eigenvalues.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012
Least squares recursive projection twin support vector machine for classification.
Pattern Recognit., 2012

A coordinate descent margin based-twin support vector machine for classification.
Neural Networks, 2012

Probabilistic outputs for twin support vector machines.
Knowl. Based Syst., 2012

Multi-Class Transductive Classification Based on Local Learning and Adjustable Class Label Representation.
Int. J. Pattern Recognit. Artif. Intell., 2012

Network Kernel SVM for microarray classification and gene sets selection.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011
Improvements on Twin Support Vector Machines.
IEEE Trans. Neural Networks, 2011

Gene expression variations are predictive for stochastic noise.
Nucleic Acids Res., 2011

New robust unsupervised support vector machines.
J. Syst. Sci. Complex., 2011

Kernel-based data fusion improves the drug-protein interaction prediction.
Comput. Biol. Chem., 2011

Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context.
BMC Syst. Biol., 2011

Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation.
BMC Bioinform., 2011

A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence.
Bioinform., 2011

2010
Sequence-based protein-protein interaction prediction via support vector machine.
J. Syst. Sci. Complex., 2010

2009
Numerical Methods for Unary Optimization.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Leave-one-out bounds for support vector ordinal regression machine.
Neural Computing and Applications, 2009

Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2009

2007
An improved inexact Newton method.
J. Global Optimization, 2007

An Efficient Version on a New Improved Method of Tangent Hyperbolas.
Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Unsupervised and Semi-supervised Lagrangian Support Vector Machines.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

A Leave-One-Out Bound for <i>nu</i>-Support Vector Regression.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006
A Modified Quasi-Newton Method for Structured Optimization with Partial Information on the Hessian.
Comput. Optim. Appl., 2006

Unsupervised and Semi-Supervised Two-class Support Vector Machines.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
An Inexact Newton Method Derived from Efficiency Analysis.
J. Global Optimization, 2005

Support Vector Classification with Nominal Attributes.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

A New Support Vector Machine for Multi-class Classification.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

A Multi-class Classification Algorithm based on Ordinal Regression Machine.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Leave-one-out Bounds for Support Vector Regression.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Theoretical efficiency of a new inexact method of tangent hyperbolas.
Optimization Methods and Software, 2004

2002
PCG-inexact Newton methods for unary optimization.
Eur. J. Oper. Res., 2002

2000
A Family of Scaled Factorized Broyden-Like Methods for Nonlinear Least Squares Problems.
SIAM J. Optim., 2000

1994
A class of difference ABS-type algorithms for a nonlinear system of equations.
Numer. Linear Algebra Appl., 1994


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