Accelerated stochastic simulation algorithm for coupled chemical reactions with delays. - Wen Zhou; Xinjun Peng; Zhenglou Yan; Yifei Wang (Comput. Biol. Chem., 2008)

Learning with Sequential Minimal Transductive Support Vector Machine. - Xinjun Peng; Yifei Wang (FAW, 2009)

A geometric method for model selection in support vector machine. - Xinjun Peng; Yifei Wang (Expert Syst. Appl., 2009)

A normal least squares support vector machine (NLS-SVM) and its learning algorithm. - Xinjun Peng; Yifei Wang (Neurocomputing, 2009)

Efficient geometric algorithms for support vector machine classifier. - Xinjun Peng (ICNC, 2010)

Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition. - Xinjun Peng (Expert Syst. Appl., 2010)

Primal twin support vector regression and its sparse approximation. - Xinjun Peng (Neurocomputing, 2010)

A nu-twin support vector machine (nu-TSVM) classifier and its geometric algorithms. - Xinjun Peng (Inf. Sci., 2010)

TSVR: An efficient Twin Support Vector Machine for regression. - Xinjun Peng (Neural Networks, 2010)

The robust and efficient adaptive normal direction support vector regression. - Xinjun Peng; Yifei Wang (Expert Syst. Appl., 2011)

Building sparse twin support vector machine classifiers in primal space. - Xinjun Peng (Inf. Sci., 2011)

TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition. - Xinjun Peng (Pattern Recognit., 2011)

Efficient twin parametric insensitive support vector regression model. - Xinjun Peng (Neurocomputing, 2012)

Twin Mahalanobis distance-based support vector machines for pattern recognition. - Xinjun Peng; Dong Xu 003 (Inf. Sci., 2012)

Efficient support vector data descriptions for novelty detection. - Xinjun Peng; Dong Xu 003 (Neural Comput. Appl., 2012)

Geometric Algorithms to Large Margin Classifier Based on Affine Hulls. - Xinjun Peng; Yifei Wang (IEEE Trans. Neural Networks Learn. Syst., 2012)

A New Smooth Support Vector Machine with 1-Norm Penalty Term. - Jindong Shen; Xinjun Peng (Int. J. Online Biomed. Eng., 2013)

Bi-density twin support vector machines for pattern recognition. - Xinjun Peng; Dong Xu 003 (Neurocomputing, 2013)

Geometric algorithms for parametric-margin v-support vector machine. - Xinjun Peng; Dong Xu 003 (Neurocomputing, 2013)

Norm-mixed twin support vector machine classifier and its geometric algorithm. - Xinjun Peng; Dong Xu 003 (Neurocomputing, 2013)

Local scaling heuristic-based regularization for pattern classification. - Xinjun Peng; Dong Xu 003 (Neurocomputing, 2013)

A twin-hypersphere support vector machine classifier and the fast learning algorithm. - Xinjun Peng; Dong Xu 003 (Inf. Sci., 2013)

Structural twin parametric-margin support vector machine for binary classification. - Xinjun Peng; Yifei Wang; Dong Xu 003 (Knowl. Based Syst., 2013)

Robust minimum class variance twin support vector machine classifier. - Xinjun Peng; Dong Xu 003 (Neural Comput. Appl., 2013)

A local information-based feature-selection algorithm for data regression. - Xinjun Peng; Dong Xu 003 (Pattern Recognit., 2013)

Online Model-Based Twin Parametric-Margin Support Vector Machine. - Xinjun Peng; Lingyan Kong; Dongjing Chen; Dong Xu 003 (ICIC (1), 2014)

A twin projection support vector machine for data regression. - Xinjun Peng; Dong Xu 003; Jindong Shen (Neurocomputing, 2014)

Structural regularized projection twin support vector machine for data classification. - Xinjun Peng; Dong Xu 003 (Inf. Sci., 2014)

A clipping dual coordinate descent algorithm for solving support vector machines. - Xinjun Peng; Dongjing Chen; Lingyan Kong (Knowl. Based Syst., 2014)

Twin support vector hypersphere (TSVH) classifier for pattern recognition. - Xinjun Peng; Dong Xu 003 (Neural Comput. Appl., 2014)

Improvements on twin parametric-margin support vector machine. - Xinjun Peng; Lingyan Kong; Dongjing Chen (Neurocomputing, 2015)

Interval twin support vector regression algorithm for interval input-output data. - Xinjun Peng; Dongjing Chen; Lingyan Kong; Dong Xu 003 (Int. J. Mach. Learn. Cybern., 2015)

L1-norm loss based twin support vector machine for data recognition. - Xinjun Peng; Dong Xu 003; Lingyan Kong; Dongjing Chen (Inf. Sci., 2016)

Projection support vector regression algorithms for data regression. - Xinjun Peng; Dong Xu 003 (Knowl. Based Syst., 2016)

A twin-hyperspheres support vector machine with automatic variable weights for data classification. - Xinjun Peng; Jindong Shen (Inf. Sci., 2017)

A structural information-based twin-hypersphere support vector machine classifier. - Xinjun Peng; Lingyan Kong; Dongjing Chen (Int. J. Mach. Learn. Cybern., 2017)

Semi-supervised least squares nonnegative matrix factorization and graph-based extension. - Xinjun Peng; De Chen; Dong Xu 003 (Neurocomputing, 2018)

PTSVRs: Regression models via projection twin support vector machine. - Xinjun Peng; De Chen (Inf. Sci., 2018)

Hyperplane-based nonnegative matrix factorization with label information. - Xinjun Peng; De Chen; Dong Xu 003 (Inf. Sci., 2019)

An (l_1 ) -norm loss based twin support vector regression and its geometric extension. - Xinjun Peng; De Chen (Int. J. Mach. Learn. Cybern., 2019)

A spheres-based support vector machine for pattern classification. - Xinjun Peng (Neural Comput. Appl., 2019)

Progressive transduction nonnegative matrix factorization for dimensionality reduction. - Xinjun Peng; Dong Xu 003; De Chen (Neurocomputing, 2020)

Robust distribution-based nonnegative matrix factorizations for dimensionality reduction. - Xinjun Peng; Dong Xu 003; De Chen (Inf. Sci., 2021)