A class of difference ABS-type algorithms for a nonlinear system of equations. - Emilio Spedicato; Zhi Chen; Naiyang Deng (Numer. Linear Algebra Appl., 1994)

A Family of Scaled Factorized Broyden-Like Methods for Nonlinear Least Squares Problems. - Jianzhong Zhang 001; L. H. Chen; Naiyang Deng (SIAM J. Optim., 2000)

PCG-inexact Newton methods for unary optimization. - Jianzhong Zhang 001; Yi Xue; Ping Zhong; Naiyang Deng (Eur. J. Oper. Res., 2002)

Theoretical efficiency of a new inexact method of tangent hyperbolas. - Naiyang Deng; Haibin Zhang (Optim. Methods Softw., 2004)

Leave-one-out Bounds for Support Vector Regression. - Yingjie Tian 001; Naiyang Deng (CIMCA/IAWTIC, 2005)

A Multi-class Classification Algorithm based on Ordinal Regression Machine. - Zhixia Yang; Naiyang Deng; Yingjie Tian 001 (CIMCA/IAWTIC, 2005)

A New Support Vector Machine for Multi-class Classification. - Zhiquan Qi; Yingjie Tian 001; Naiyang Deng (CIS (1), 2005)

Support Vector Classification with Nominal Attributes. - Yingjie Tian 001; Naiyang Deng (CIS (1), 2005)

An Inexact Newton Method Derived from Efficiency Analysis. - Naiyang Deng; Yi Xue; Jianzhong Zhang 001; Ping Zhong (J. Glob. Optim., 2005)

Unsupervised and Semi-Supervised Two-class Support Vector Machines. - Kun Zhao; Ying-Jie Tian 001; Naiyang Deng (ICDM Workshops, 2006)

A Modified Quasi-Newton Method for Structured Optimization with Partial Information on the Hessian. - L. H. Chen; Naiyang Deng; Jianzhong Zhang 001 (Comput. Optim. Appl., 2006)

A Leave-One-Out Bound for nu-Support Vector Regression. - Ruxin Qin; Jing Chen; Naiyang Deng; Yingjie Tian 001 (International Conference on Computational Science (3), 2007)

Unsupervised and Semi-supervised Lagrangian Support Vector Machines. - Kun Zhao; Yingjie Tian 001; Naiyang Deng (International Conference on Computational Science (3), 2007)

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. - Kun Zhao; Ying-Jie Tian 001; Naiyang Deng; Hiroshi Kuwajima; Takashi Washio (ICDM Workshops, 2007)

An Efficient Version on a New Improved Method of Tangent Hyperbolas. - Haibin Zhang; Qiang Cheng; Yi Xue; Naiyang Deng (LSMS (1), 2007)

An improved inexact Newton method. - Haibin Zhang; Naiyang Deng (J. Glob. Optim., 2007)

Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. - Kun Zhao; Yingjie Tian 001; Naiyang Deng (ISNN (2), 2009)

Leave-one-out bounds for support vector ordinal regression machine. - Zhixia Yang; Yingjie Tian 001; Naiyang Deng (Neural Comput. Appl., 2009)

Numerical Methods for Unary Optimization. - Emilio Spedicato; Naiyang Deng; Jianzhong Zhang 001; Shaolin Xi (Encyclopedia of Optimization, 2009)

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)

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)

Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation. - Xian-Wen Ren; Yong-Cui Wang; Yong Wang 001; Xiang-Sun Zhang; Nai-Yang Deng (BMC Bioinform., 2011)

Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. - Yong-Cui Wang; Yong Wang 001; Zhi-Xia Yang; Nai-Yang Deng (BMC Syst. Biol., 2011)

Kernel-based data fusion improves the drug-protein interaction prediction. - Yong-Cui Wang; Chunhua Zhang; Nai-Yang Deng; Yong Wang 001 (Comput. Biol. Chem., 2011)

New robust unsupervised support vector machines. - Kun Zhao; Mingyu Zhang; Naiyang Deng (J. Syst. Sci. Complex., 2011)

Gene expression variations are predictive for stochastic noise. - Dong Dong; Xiaojian Shao; Naiyang Deng; Zhaolei Zhang (Nucleic Acids Res., 2011)

Improvements on Twin Support Vector Machines. - Yuan-Hai Shao 001; Chunhua Zhang; Xiao-Bo Wang; Nai-Yang Deng (IEEE Trans. Neural Networks, 2011)

Network Kernel SVM for microarray classification and gene sets selection. - Bing Yang; Junyan Tan; Naiyang Deng; Ling Jing (ISB, 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)

Probabilistic outputs for twin support vector machines. - Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Min Yang; Wei-Jie Chen 001; Zhen Wang 002 (Knowl. Based Syst., 2012)

A coordinate descent margin based-twin support vector machine for classification. - Yuan-Hai Shao 001; Nai-Yang Deng (Neural Networks, 2012)

Least squares recursive projection twin support vector machine for classification. - Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Min Yang (Pattern Recognit., 2012)

Proximal Plane Clustering via Eigenvalues. - Yuan-Hai Shao 001; Lan Bai; Zhen Wang 002; Xiang-Yu Hua; Nai-Yang Deng (ITQM, 2013)

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Wen-Biao Huang; Zhi-Min Yang; Nai-Yang Deng (ITQM, 2013)

Least squares twin parametric-margin support vector machine for classification. - Yuan-Hai Shao 001; Zhen Wang 002; Wei-Jie Chen 001; Nai-Yang Deng (Appl. Intell., 2013)

Network predicting drug's anatomical therapeutic chemical code. - Yong-Cui Wang; Shi-Long Chen; Nai-Yang Deng; Yong Wang 001 (Bioinform., 2013)

A proximal classifier with consistency. - Yuan-Hai Shao 001; Nai-Yang Deng; Wei-Jie Chen 001 (Knowl. Based Syst., 2013)

A regularization for the projection twin support vector machine. - Yuan-Hai Shao 001; Zhen Wang 002; Wei-Jie Chen 001; Nai-Yang Deng (Knowl. Based Syst., 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 novel margin-based twin support vector machine with unity norm hyperplanes. - Yuan-Hai Shao 001; Nai-Yang Deng (Neural Comput. Appl., 2013)

An ε-twin support vector machine for regression. - Yuan-Hai Shao 001; Chunhua Zhang; Zhi-Min Yang; Ling Jing; Nai-Yang 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)

Mixed-norm linear support vector machine. - Chunhua Zhang; Yuan-Hai Shao 001; Junyan Tan; Naiyang Deng (Neural Comput. Appl., 2013)

Improved Generalized Eigenvalue Proximal Support Vector Machine. - Yuan-Hai Shao 001; Nai-Yang Deng; Wei-Jie Chen 001; Zhen Wang 002 (IEEE Signal Process. Lett., 2013)

Proximal Classifier via Absolute Value Inequalities. - Yuan-Hai Shao 001; Chun-Na Li 001; Zhen Wang 002; Ming-Zeng Liu; Nai-Yang Deng (ICDM Workshops, 2014)

Weighted Linear Loss Support Vector Machine for Large Scale Problems. - Yuan-Hai Shao 001; Zhen Wang 002; Zhi-Min Yang; Nai-Yang Deng (ITQM, 2014)

Sparse least square twin support vector machine with adaptive norm. - Zhiqiang Zhang; Ling Zhen; Naiyang Deng; Junyan Tan (Appl. Intell., 2014)

Laplacian least squares twin support vector machine for semi-supervised classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Nai-Yang Deng; Zhi-Lin Feng (Neurocomputing, 2014)

A proximal classifier with positive and negative local regions. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Haibin Zhang; Nai-Yang Deng (Neurocomputing, 2014)

Laplacian p-norm proximal support vector machine for semi-supervised classification. - Junyan Tan; Ling Zhen; Naiyang Deng; Zhiqiang Zhang (Neurocomputing, 2014)

Biased p-norm support vector machine for PU learning. - Zhiqiang Zhang; Ting Ke; Naiyang Deng; Junyan Tan (Neurocomputing, 2014)

Nonparallel hyperplane support vector machine for binary classification problems. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Nai-Yang Deng (Inf. Sci., 2014)

A novel feature selection method for twin support vector machine. - Lan Bai; Zhen Wang 002; Yuan-Hai Shao 001; Nai-Yang Deng (Knowl. Based Syst., 2014)

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Jing-Jing Zhang; Zhen Wang 002; Nai-Yang Deng (Pattern Recognit., 2014)

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. - Yuan-Hai Shao 001; Zhen Wang 002; Chun-Na Li 001; Nai-Yang Deng (ICDM Workshops, 2015)

Combined outputs framework for twin support vector machines. - Yuan-Hai Shao 001; Xiang-Yu Hua; Li-Ming Liu; Zhi-Min Yang; Nai-Yang Deng (Appl. Intell., 2015)

Laplacian unit-hyperplane learning from positive and unlabeled examples. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2015)

The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense. - Yuan-Hai Shao 001; Nai-Yang Deng (J. Optim. Theory Appl., 2015)

Weighted linear loss twin support vector machine for large-scale classification. - Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Chun-Na Li 001; Nai-Yang Deng (Knowl. Based Syst., 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)

Robust L1-norm two-dimensional linear discriminant analysis. - Chun-Na Li 001; Yuan-Hai Shao 001; Nai-Yang Deng (Neural Networks, 2015)

Twin Support Vector Machine for Clustering. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Nai-Yang Deng (IEEE Trans. Neural Networks Learn. Syst., 2015)

Computational probing protein-protein interactions targeting small molecules. - Yong-Cui Wang; Shi-Long Chen; Nai-Yang Deng; Yong Wang 001 (Bioinform., 2016)

Novel Grouping Method-based support vector machine plus for structured data. - Qiuling Hou; Ling Zhen; Naiyang Deng; Ling Jing (Neurocomputing, 2016)

Extensive semi-quantitative regression. - Yuan-Hai Shao 001; Ya-Fen Ye; Yong-Cui Wang; Nai-Yang Deng (Neurocomputing, 2016)

Weighted Lagrange ε-twin support vector regression. - Ya-Fen Ye; Lan Bai; Xiang-Yu Hua; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng (Neurocomputing, 2016)

MBLDA: A novel multiple between-class linear discriminant analysis. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Chun-Na Li 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2016)

MLTSVM: A novel twin support vector machine to multi-label learning. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Nai-Yang Deng (Pattern Recognit., 2016)

Robust Lp-norm least squares support vector regression with feature selection. - Ya-Fen Ye; Yuan-Hai Shao 001; Nai-Yang Deng; Chun-Na Li 001; Xiang-Yu Hua (Appl. Math. Comput., 2017)

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Li-Ming Liu; Nai-Yang Deng (CoRR, 2017)

Application of image recognition in civil aviation security based on tensor learning. - Xinbin Zhao; Naiyang Deng; Ling Jing (J. Intell. Fuzzy Syst., 2017)

Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery. - Meng Lv; Qiuling Hou; Naiyang Deng; Ling Jing (IEEE Geosci. Remote. Sens. Lett., 2017)

Generalized two-dimensional linear discriminant analysis with regularization. - Chun-Na Li 001; Yuan-Hai Shao 001; Wei-Jie Chen 001; Nai-Yang Deng (CoRR, 2018)

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. - Chun-Na Li 001; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng (CoRR, 2018)

Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. - Wei-Jie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001; Ju Zhang 004; Nai-Yang Deng (Neurocomputing, 2018)

Insensitive stochastic gradient twin support vector machines for large scale problems. - Zhen Wang 002; Yuan-Hai Shao 001; Lan Bai; Chun-Na Li 001; Li-Ming Liu; Nai-Yang Deng (Inf. Sci., 2018)

Sparse Lq-norm least squares support vector machine with feature selection. - Yuan-Hai Shao 001; Chun-Na Li 001; Ming-Zeng Liu; Zhen Wang 002; Nai-Yang Deng (Pattern Recognit., 2018)

Single Versus Union: Non-parallel Support Vector Machine Frameworks. - Chun-Na Li 001; Yuan-Hai Shao 001; Huajun Wang; Yu-Ting Zhao; Ling-Wei Huang; Naihua Xiu; Nai-Yang Deng (CoRR, 2019)

Robust bilateral Lp-norm two-dimensional linear discriminant analysis. - Chun-Na Li 001; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng (Inf. Sci., 2019)

2DRLPP: Robust two-dimensional locality preserving projection with regularization. - Wei-Jie Chen 001; Chun-Na Li 001; Yuan-Hai Shao 001; Ju Zhang 004; Nai-Yang Deng (Knowl. Based Syst., 2019)

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. - Chun-Na Li 001; Yuan-Hai Shao 001; Zhen Wang 002; Nai-Yang Deng; Zhi-Min Yang (Knowl. Based Syst., 2019)

Joint sample and feature selection via sparse primal and dual LSSVM. - Yuan-Hai Shao 001; Chun-Na Li 001; Ling-Wei Huang; Zhen Wang 002; Nai-Yang Deng; Yan Xu (Knowl. Based Syst., 2019)

Principal Component Analysis Based on T𝓁1-norm Maximization. - Xiang-Fei Yang; Yuan-Hai Shao 001; Chun-Na Li 001; Li-Ming Liu; Nai-Yang Deng (CoRR, 2020)

Collaborative weighted multi-view feature extraction. - Jinxin Zhang; Peng Zhang; Liming Liu; Naiyang Deng; Ling Jing (Eng. Appl. Artif. Intell., 2020)

ν-projection twin support vector machine for pattern classification. - Wei-Jie Chen 001; Yuan-Hai Shao 001; Chun-Na Li 001; Ming-Zeng Liu; Zhen Wang 002; Nai-Yang Deng (Neurocomputing, 2020)

Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. - Xiang-Fei Yang; Wensi Wang; Liming Liu; Yuan-Hai Shao 001; Liting Zhang; Naiyang Deng (IEEE Access, 2021)

Locality cross-view regression for feature extraction. - Jinxin Zhang; Hongjie Zhang; Wenwen Qiang; Naiyang Deng; Ling Jing (Eng. Appl. Artif. Intell., 2021)

Generalized two-dimensional linear discriminant analysis with regularization. - Chun-Na Li 001; Yuan-Hai Shao 001; Wei-Jie Chen 001; Zhen Wang 002; Nai-Yang Deng (Neural Networks, 2021)

Multiple Flat Projections for Cross-Manifold Clustering. - Lan Bai; Yuan-Hai Shao 001; Zhen Wang 002; Weijie Chen 001; Nai-Yang Deng (IEEE Trans. Cybern., 2022)

Union nonparallel support vector machines framework with consistency. - Chun-Na Li 001; Yuan-Hai Shao 001; Huajun Wang; Ling-Wei Huang; Yu-Ting Zhao; Naihua Xiu; Nai-Yang Deng (Appl. Soft Comput., 2023)