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2020 – today
- 2021
[j40]Xinjun Peng, Dong Xu, De Chen:
Robust distribution-based nonnegative matrix factorizations for dimensionality reduction. Inf. Sci. 552: 244-260 (2021)- 2020
- [j39]Xinjun Peng, Dong Xu, De Chen:
Progressive transduction nonnegative matrix factorization for dimensionality reduction. Neurocomputing 414: 76-89 (2020)
2010 – 2019
- 2019
- [j38]Xinjun Peng, De Chen, Dong Xu:
Hyperplane-based nonnegative matrix factorization with label information. Inf. Sci. 493: 1-19 (2019) - [j37]Xinjun Peng, De Chen:
An \(l_1\) -norm loss based twin support vector regression and its geometric extension. Int. J. Mach. Learn. Cybern. 10(9): 2573-2588 (2019) - [j36]Xinjun Peng:
A spheres-based support vector machine for pattern classification. Neural Comput. Appl. 31(S-1): 379-396 (2019) - 2018
- [j35]Xinjun Peng, De Chen, Dong Xu:
Semi-supervised least squares nonnegative matrix factorization and graph-based extension. Neurocomputing 320: 98-111 (2018) - [j34]Xinjun Peng, De Chen:
PTSVRs: Regression models via projection twin support vector machine. Inf. Sci. 435: 1-14 (2018) - 2017
- [j33]Xinjun Peng, Jindong Shen:
A twin-hyperspheres support vector machine with automatic variable weights for data classification. Inf. Sci. 417: 216-235 (2017) - [j32]Xinjun Peng, Lingyan Kong, Dongjing Chen:
A structural information-based twin-hypersphere support vector machine classifier. Int. J. Mach. Learn. Cybern. 8(1): 295-308 (2017) - 2016
- [j31]Xinjun Peng, Dong Xu, Lingyan Kong, Dongjing Chen:
L1-norm loss based twin support vector machine for data recognition. Inf. Sci. 340-341: 86-103 (2016) - [j30]Xinjun Peng, Dong Xu:
Projection support vector regression algorithms for data regression. Knowl. Based Syst. 112: 54-66 (2016) - 2015
- [j29]Xinjun Peng, Lingyan Kong, Dongjing Chen:
Improvements on twin parametric-margin support vector machine. Neurocomputing 151: 857-863 (2015) - [j28]Xinjun Peng, Dongjing Chen, Lingyan Kong, Dong Xu:
Interval twin support vector regression algorithm for interval input-output data. Int. J. Mach. Learn. Cybern. 6(5): 719-732 (2015) - 2014
- [j27]Xinjun Peng, Dong Xu, Jindong Shen:
A twin projection support vector machine for data regression. Neurocomputing 138: 131-141 (2014) - [j26]Xinjun Peng, Dong Xu:
Structural regularized projection twin support vector machine for data classification. Inf. Sci. 279: 416-432 (2014) - [j25]Xinjun Peng, Dongjing Chen, Lingyan Kong:
A clipping dual coordinate descent algorithm for solving support vector machines. Knowl. Based Syst. 71: 266-278 (2014) - [j24]Xinjun Peng, Dong Xu:
Twin support vector hypersphere (TSVH) classifier for pattern recognition. Neural Comput. Appl. 24(5): 1207-1220 (2014) - [c3]Xinjun Peng, Lingyan Kong, Dongjing Chen, Dong Xu:
Online Model-Based Twin Parametric-Margin Support Vector Machine. ICIC (1) 2014: 741-752 - 2013
- [j23]Jindong Shen, Xinjun Peng:
A New Smooth Support Vector Machine with 1-Norm Penalty Term. Int. J. Online Biomed. Eng. 9(S4): 54-58 (2013) - [j22]Xinjun Peng, Dong Xu:
Bi-density twin support vector machines for pattern recognition. Neurocomputing 99: 134-143 (2013) - [j21]Xinjun Peng, Dong Xu:
Geometric algorithms for parametric-margin v-support vector machine. Neurocomputing 99: 197-205 (2013) - [j20]Xinjun Peng, Dong Xu:
Norm-mixed twin support vector machine classifier and its geometric algorithm. Neurocomputing 99: 486-495 (2013) - [j19]Xinjun Peng, Dong Xu:
Local scaling heuristic-based regularization for pattern classification. Neurocomputing 119: 264-272 (2013) - [j18]Xinjun Peng, Dong Xu:
A twin-hypersphere support vector machine classifier and the fast learning algorithm. Inf. Sci. 221: 12-27 (2013) - [j17]Xinjun Peng, Yifei Wang, Dong Xu:
Structural twin parametric-margin support vector machine for binary classification. Knowl. Based Syst. 49: 63-72 (2013) - [j16]Xinjun Peng, Dong Xu:
Robust minimum class variance twin support vector machine classifier. Neural Comput. Appl. 22(5): 999-1011 (2013) - [j15]Xinjun Peng, Dong Xu:
A local information-based feature-selection algorithm for data regression. Pattern Recognit. 46(9): 2519-2530 (2013) - 2012
- [j14]Xinjun Peng:
Efficient twin parametric insensitive support vector regression model. Neurocomputing 79: 26-38 (2012) - [j13]Xinjun Peng, Dong Xu:
Twin Mahalanobis distance-based support vector machines for pattern recognition. Inf. Sci. 200: 22-37 (2012) - [j12]Xinjun Peng, Dong Xu:
Efficient support vector data descriptions for novelty detection. Neural Comput. Appl. 21(8): 2023-2032 (2012) - [j11]Xinjun Peng, Yifei Wang:
Geometric Algorithms to Large Margin Classifier Based on Affine Hulls. IEEE Trans. Neural Networks Learn. Syst. 23(2): 236-246 (2012) - 2011
- [j10]Xinjun Peng, Yifei Wang:
The robust and efficient adaptive normal direction support vector regression. Expert Syst. Appl. 38(4): 2998-3008 (2011) - [j9]Xinjun Peng:
Building sparse twin support vector machine classifiers in primal space. Inf. Sci. 181(18): 3967-3980 (2011) - [j8]Xinjun Peng:
TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition. Pattern Recognit. 44(10-11): 2678-2692 (2011) - 2010
- [j7]Xinjun Peng:
Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition. Expert Syst. Appl. 37(12): 8371-8378 (2010) - [j6]Xinjun Peng:
Primal twin support vector regression and its sparse approximation. Neurocomputing 73(16-18): 2846-2858 (2010) - [j5]Xinjun Peng:
A nu-twin support vector machine (nu-TSVM) classifier and its geometric algorithms. Inf. Sci. 180(20): 3863-3875 (2010) - [j4]Xinjun Peng:
TSVR: An efficient Twin Support Vector Machine for regression. Neural Networks 23(3): 365-372 (2010) - [c2]Xinjun Peng:
Efficient geometric algorithms for support vector machine classifier. ICNC 2010: 875-879
2000 – 2009
- 2009
- [j3]Xinjun Peng, Yifei Wang:
A geometric method for model selection in support vector machine. Expert Syst. Appl. 36(3): 5745-5749 (2009) - [j2]Xinjun Peng, Yifei Wang:
A normal least squares support vector machine (NLS-SVM) and its learning algorithm. Neurocomputing 72(16-18): 3734-3741 (2009) - [c1]Xinjun Peng, Yifei Wang:
Learning with Sequential Minimal Transductive Support Vector Machine. FAW 2009: 216-227 - 2008
- [j1]Wen Zhou, Xinjun Peng, Zhenglou Yan, Yifei Wang:
Accelerated stochastic simulation algorithm for coupled chemical reactions with delays. Comput. Biol. Chem. 32(4): 240-242 (2008)
Coauthor Index
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