Naiyang Deng

According to our database, Naiyang Deng authored at least 90 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Union nonparallel support vector machines framework with consistency.

Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Ling-Wei Huang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng

Appl. Soft Comput., March, 2023

2022

Multiple Flat Projections for Cross-Manifold Clustering.

Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng

IEEE Trans. Cybern., 2022

2021

Generalized two-dimensional linear discriminant analysis with regularization.

Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng

Neural Networks, 2021

Locality cross-view regression for feature extraction.

Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing

Eng. Appl. Artif. Intell., 2021

Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition.

Xiang-Fei Yang, Wensi Wang, Liming Liu, Yuan-Hai Shao, Liting Zhang, Naiyang Deng

IEEE Access, 2021

2020

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

Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng

Neurocomputing, 2020

Collaborative weighted multi-view feature extraction.

Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing

Eng. Appl. Artif. Intell., 2020

Principal Component Analysis Based on T𝓁₁-norm Maximization.

Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng

CoRR, 2020

2019

Joint sample and feature selection via sparse primal and dual LSSVM.

Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu

Knowl. Based Syst., 2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.

Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang

Knowl. Based Syst., 2019

2DRLPP: Robust two-dimensional locality preserving projection with regularization.

Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng

Knowl. Based Syst., 2019

Robust bilateral Lp-norm two-dimensional linear discriminant analysis.

Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

Inf. Sci., 2019

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

Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng

CoRR, 2019

2018

Sparse <i>L_q</i>-norm least squares support vector machine with feature selection.

Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng

Pattern Recognit., 2018

Insensitive stochastic gradient twin support vector machines for large scale problems.

Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng

Inf. Sci., 2018

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

Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng

Neurocomputing, 2018

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm.

Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

CoRR, 2018

Generalized two-dimensional linear discriminant analysis with regularization.

Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng

CoRR, 2018

2017

Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery.

Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing

IEEE Geosci. Remote. Sens. Lett., 2017

Application of image recognition in civil aviation security based on tensor learning.

Xinbin Zhao, Naiyang Deng, Ling Jing

J. Intell. Fuzzy Syst., 2017

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.

Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng

CoRR, 2017

Robust L_p-norm least squares support vector regression with feature selection.

Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua

Appl. Math. Comput., 2017

2016

MLTSVM: A novel twin support vector machine to multi-label learning.

Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng

Pattern Recognit., 2016

MBLDA: A novel multiple between-class linear discriminant analysis.

Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng

Inf. Sci., 2016

Weighted Lagrange ε-twin support vector regression.

Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

Neurocomputing, 2016

Extensive semi-quantitative regression.

Yuan-Hai Shao, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng

Neurocomputing, 2016

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

Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing

Neurocomputing, 2016

Computational probing protein-protein interactions targeting small molecules.

Yong-Cui Wang, Shi-Long Chen, Nai-Yang Deng, Yong Wang

Bioinform., 2016

2015

Twin Support Vector Machine for Clustering.

Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng

IEEE Trans. Neural Networks Learn. Syst., 2015

Robust L1-norm two-dimensional linear discriminant analysis.

Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng

Neural Networks, 2015

Manifold proximal support vector machine with mixed-norm for semi-supervised classification.

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan

Neural Comput. Appl., 2015

Weighted linear loss twin support vector machine for large-scale classification.

Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng

Knowl. Based Syst., 2015

The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense.

Yuan-Hai Shao, Nai-Yang Deng

J. Optim. Theory Appl., 2015

Laplacian unit-hyperplane learning from positive and unlabeled examples.

Yuan-Hai Shao, Wei-Jie Chen, Li-Ming Liu, Nai-Yang Deng

Inf. Sci., 2015

Combined outputs framework for twin support vector machines.

Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng

Appl. Intell., 2015

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.

Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification.

Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Nai-Yang Deng

Pattern Recognit., 2014

A novel feature selection method for twin support vector machine.

Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng

Knowl. Based Syst., 2014

Nonparallel hyperplane support vector machine for binary classification problems.

Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng

Inf. Sci., 2014

Biased p-norm support vector machine for PU learning.

Zhiqiang Zhang, Ting Ke, Naiyang Deng, Junyan Tan

Neurocomputing, 2014

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

Junyan Tan, Ling Zhen, Naiyang Deng, Zhiqiang Zhang

Neurocomputing, 2014

A proximal classifier with positive and negative local regions.

Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng

Neurocomputing, 2014

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

Wei-Jie Chen, Yuan-Hai Shao, Nai-Yang Deng, Zhi-Lin Feng

Neurocomputing, 2014

Sparse least square twin support vector machine with adaptive norm.

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan

Appl. Intell., 2014

Weighted Linear Loss Support Vector Machine for Large Scale Problems.

Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Proximal Classifier via Absolute Value Inequalities.

Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Improved Generalized Eigenvalue Proximal Support Vector Machine.

Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang

IEEE Signal Process. Lett., 2013

Mixed-norm linear support vector machine.

Chunhua Zhang, Yuan-Hai Shao, Junyan Tan, Naiyang Deng

Neural Comput. Appl., 2013

Adaptive feature selection via a new version of support vector machine.

Junyan Tan, Zhiqiang Zhang, Ling Zhen, Chunhua Zhang, Naiyang Deng

Neural Comput. Appl., 2013

An ε-twin support vector machine for regression.

Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng

Neural Comput. Appl., 2013

A novel margin-based twin support vector machine with unity norm hyperplanes.

Yuan-Hai Shao, Nai-Yang Deng

Neural Comput. Appl., 2013

Constructing support vector machine ensemble with segmentation for imbalanced datasets.

Qian Li, Bing Yang, Yi Li, Nai-Yang Deng, Ling Jing

Neural Comput. Appl., 2013

A regularization for the projection twin support vector machine.

Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng

Knowl. Based Syst., 2013

A proximal classifier with consistency.

Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen

Knowl. Based Syst., 2013

Network predicting drug's anatomical therapeutic chemical code.

Yong-Cui Wang, Shi-Long Chen, Nai-Yang Deng, Yong Wang

Bioinform., 2013

Least squares twin parametric-margin support vector machine for classification.

Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng

Appl. Intell., 2013

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification.

Yuan-Hai Shao, Wei-Jie Chen, Wen-Biao Huang, Zhi-Min Yang, Nai-Yang Deng

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Proximal Plane Clustering via Eigenvalues.

Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012

Least squares recursive projection twin support vector machine for classification.

Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang

Pattern Recognit., 2012

A coordinate descent margin based-twin support vector machine for classification.

Yuan-Hai Shao, Nai-Yang Deng

Neural Networks, 2012

Probabilistic outputs for twin support vector machines.

Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang

Knowl. Based Syst., 2012

Multi-Class Transductive Classification Based on Local Learning and Adjustable Class Label Representation.

Jia Lv, Naiyang Deng

Int. J. Pattern Recognit. Artif. Intell., 2012

Network Kernel SVM for microarray classification and gene sets selection.

Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing

Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011

Improvements on Twin Support Vector Machines.

Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng

IEEE Trans. Neural Networks, 2011

Gene expression variations are predictive for stochastic noise.

Dong Dong, Xiaojian Shao, Naiyang Deng, Zhaolei Zhang

Nucleic Acids Res., 2011

New robust unsupervised support vector machines.

Kun Zhao, Mingyu Zhang, Naiyang Deng

J. Syst. Sci. Complex., 2011

Kernel-based data fusion improves the drug-protein interaction prediction.

Yong-Cui Wang, Chunhua Zhang, Nai-Yang Deng, Yong Wang

Comput. Biol. Chem., 2011

Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context.

Yong-Cui Wang, Yong Wang, Zhixia Yang, Nai-Yang Deng

BMC Syst. Biol., 2011

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

Xian-Wen Ren, Yong-Cui Wang, Yong Wang, Xiang-Sun Zhang, Nai-Yang Deng

BMC Bioinform., 2011

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

Xiaojian Shao, Chris Soon Heng Tan, Courtney Voss, Shawn S. C. Li, Naiyang Deng, Gary D. Bader

Bioinform., 2011

2010

Sequence-based protein-protein interaction prediction via support vector machine.

Yong-Cui Wang, Jiguang Wang, Zhixia Yang, Nai-Yang Deng

J. Syst. Sci. Complex., 2010

2009

Numerical Methods for Unary Optimization.

Emilio Spedicato, Naiyang Deng, Jianzhong Zhang, Shaolin Xi

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Leave-one-out bounds for support vector ordinal regression machine.

Zhixia Yang, Yingjie Tian, Naiyang Deng

Neural Comput. Appl., 2009

Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.

Kun Zhao, Yingjie Tian, Naiyang Deng

Proceedings of the Advances in Neural Networks, 2009

2007

An improved inexact Newton method.

Haibin Zhang, Naiyang Deng

J. Glob. Optim., 2007

An Efficient Version on a New Improved Method of Tangent Hyperbolas.

Haibin Zhang, Qiang Cheng, Yi Xue, Naiyang Deng

Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.

Kun Zhao, Ying-Jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio

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.

Kun Zhao, Yingjie Tian, Naiyang Deng

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.

Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian

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.

L. H. Chen, Naiyang Deng, Jianzhong Zhang

Comput. Optim. Appl., 2006

Unsupervised and Semi-Supervised Two-class Support Vector Machines.

Kun Zhao, Ying-Jie Tian, Naiyang Deng

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.

Naiyang Deng, Yi Xue, Jianzhong Zhang, Ping Zhong

J. Glob. Optim., 2005

Support Vector Classification with Nominal Attributes.

Yingjie Tian, Naiyang Deng

Proceedings of the Computational Intelligence and Security, International Conference, 2005

A New Support Vector Machine for Multi-class Classification.

Zhiquan Qi, Yingjie Tian, Naiyang Deng

Proceedings of the Computational Intelligence and Security, International Conference, 2005

A Multi-class Classification Algorithm based on Ordinal Regression Machine.

Zhixia Yang, Naiyang Deng, Yingjie Tian

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.

Yingjie Tian, Naiyang Deng

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.

Naiyang Deng, Haibin Zhang

Optim. Methods Softw., 2004

2002

PCG-inexact Newton methods for unary optimization.

Jianzhong Zhang, Yi Xue, Ping Zhong, Naiyang Deng

Eur. J. Oper. Res., 2002

2000

A Family of Scaled Factorized Broyden-Like Methods for Nonlinear Least Squares Problems.

Jianzhong Zhang, L. H. Chen, Naiyang Deng

SIAM J. Optim., 2000

1994

A class of difference ABS-type algorithms for a nonlinear system of equations.

Emilio Spedicato, Zhi Chen, Naiyang Deng

Numer. Linear Algebra Appl., 1994