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2020 – today
- 2023
[j68]Chun-Na Li
, Yuan-Hai Shao, Huajun Wang, Ling-Wei Huang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng:
Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. 136: 110129 (2023)- 2022
- [j67]Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng:
Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. 52(8): 7704-7718 (2022) - 2021
- [j66]Xiang-Fei Yang, Wensi Wang, Liming Liu, Yuan-Hai Shao, Liting Zhang, Naiyang Deng:
Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. IEEE Access 9: 7690-7700 (2021) - [j65]Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing:
Locality cross-view regression for feature extraction. Eng. Appl. Artif. Intell. 105: 104414 (2021) - [j64]Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142: 73-91 (2021) - 2020
- [j63]Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing:
Collaborative weighted multi-view feature extraction. Eng. Appl. Artif. Intell. 90: 103527 (2020) - [j62]Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng:
ν-projection twin support vector machine for pattern classification. Neurocomputing 376: 10-24 (2020) - [i6]Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
Multiple Flat Projections for Cross-manifold Clustering. CoRR abs/2002.06739 (2020) - [i5]Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng:
Principal Component Analysis Based on T𝓁1-norm Maximization. CoRR abs/2005.12263 (2020)
2010 – 2019
- 2019
- [j61]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. 500: 274-297 (2019) - [j60]Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng:
2DRLPP: Robust two-dimensional locality preserving projection with regularization. Knowl. Based Syst. 169: 53-66 (2019) - [j59]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang:
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. Knowl. Based Syst. 183 (2019) - [j58]Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu:
Joint sample and feature selection via sparse primal and dual LSSVM. Knowl. Based Syst. 185 (2019) - [i4]Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng:
Single Versus Union: Non-parallel Support Vector Machine Frameworks. CoRR abs/1910.09734 (2019) - 2018
- [j57]Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng:
Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing 315: 345-361 (2018) - [j56]Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng:
Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. 462: 114-131 (2018) - [j55]Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng:
Sparse Lq-norm least squares support vector machine with feature selection. Pattern Recognit. 78: 167-181 (2018) - [i3]Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng:
Generalized two-dimensional linear discriminant analysis with regularization. CoRR abs/1801.07426 (2018) - [i2]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR abs/1811.02384 (2018) - 2017
- [j54]Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua:
Robust Lp-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305: 32-52 (2017) - [j53]Xinbin Zhao, Naiyang Deng, Ling Jing:
Application of image recognition in civil aviation security based on tensor learning. J. Intell. Fuzzy Syst. 33(4): 2145-2157 (2017) - [j52]Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing:
Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14(4): 569-573 (2017) - [i1]Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng:
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR abs/1704.05596 (2017) - 2016
- [j51]Yong-Cui Wang, Shi-Long Chen, Nai-Yang Deng, Yong Wang:
Computational probing protein-protein interactions targeting small molecules. Bioinform. 32(2): 226-234 (2016) - [j50]Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Weighted Lagrange ε-twin support vector regression. Neurocomputing 197: 53-68 (2016) - [j49]Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing:
Novel Grouping Method-based support vector machine plus for structured data. Neurocomputing 211: 191-201 (2016) - [j48]Yuan-Hai Shao, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng:
Extensive semi-quantitative regression. Neurocomputing 218: 26-36 (2016) - [j47]Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng:
MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. 369: 199-220 (2016) - [j46]Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng:
MLTSVM: A novel twin support vector machine to multi-label learning. Pattern Recognit. 52: 61-74 (2016) - 2015
- [j45]Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng:
Combined outputs framework for twin support vector machines. Appl. Intell. 43(2): 424-438 (2015) - [j44]Yuan-Hai Shao, Wei-Jie Chen, Li-Ming Liu, Nai-Yang Deng:
Laplacian unit-hyperplane learning from positive and unlabeled examples. Inf. Sci. 314: 152-168 (2015) - [j43]Yuan-Hai Shao, Nai-Yang Deng:
The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense. J. Optim. Theory Appl. 166(1): 278-284 (2015) - [j42]Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng:
Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. 73: 276-288 (2015) - [j41]Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan:
Manifold proximal support vector machine with mixed-norm for semi-supervised classification. Neural Comput. Appl. 26(2): 399-407 (2015) - [j40]Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng:
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65: 92-104 (2015) - [j39]Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng:
Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2583-2588 (2015) - [c16]Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng:
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. ICDM Workshops 2015: 1163-1170 - 2014
- [j38]Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan:
Sparse least square twin support vector machine with adaptive norm. Appl. Intell. 41(4): 1097-1107 (2014) - [j37]Zhiqiang Zhang, Ting Ke, Naiyang Deng, Junyan Tan:
Biased p-norm support vector machine for PU learning. Neurocomputing 136: 256-261 (2014) - [j36]Junyan Tan, Ling Zhen, Naiyang Deng, Zhiqiang Zhang:
Laplacian p-norm proximal support vector machine for semi-supervised classification. Neurocomputing 144: 151-158 (2014) - [j35]Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng:
A proximal classifier with positive and negative local regions. Neurocomputing 145: 131-139 (2014) - [j34]Wei-Jie Chen, Yuan-Hai Shao, Nai-Yang Deng, Zhi-Lin Feng:
Laplacian least squares twin support vector machine for semi-supervised classification. Neurocomputing 145: 465-476 (2014) - [j33]Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng:
Nonparallel hyperplane support vector machine for binary classification problems. Inf. Sci. 263: 22-35 (2014) - [j32]Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng:
A novel feature selection method for twin support vector machine. Knowl. Based Syst. 59: 1-8 (2014) - [j31]Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Nai-Yang Deng:
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognit. 47(9): 3158-3167 (2014) - [c15]Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng:
Proximal Classifier via Absolute Value Inequalities. ICDM Workshops 2014: 74-79 - [c14]Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng:
Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM 2014: 639-647 - 2013
- [j30]Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng:
Least squares twin parametric-margin support vector machine for classification. Appl. Intell. 39(3): 451-464 (2013) - [j29]Yong-Cui Wang, Shi-Long Chen, Nai-Yang Deng, Yong Wang:
Network predicting drug's anatomical therapeutic chemical code. Bioinform. 29(10): 1317-1324 (2013) - [j28]Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng:
A regularization for the projection twin support vector machine. Knowl. Based Syst. 37: 203-210 (2013) - [j27]Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen:
A proximal classifier with consistency. Knowl. Based Syst. 49: 171-178 (2013) - [j26]Yuan-Hai Shao, Nai-Yang Deng:
A novel margin-based twin support vector machine with unity norm hyperplanes. Neural Comput. Appl. 22(7-8): 1627-1635 (2013) - [j25]Qian Li, Bing Yang, Yi Li, Nai-Yang Deng, Ling Jing:
Constructing support vector machine ensemble with segmentation for imbalanced datasets. Neural Comput. Appl. 22(Supplement-1): 249-256 (2013) - [j24]Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng:
An ε-twin support vector machine for regression. Neural Comput. Appl. 23(1): 175-185 (2013) - [j23]Junyan Tan, Zhiqiang Zhang, Ling Zhen, Chunhua Zhang, Naiyang Deng:
Adaptive feature selection via a new version of support vector machine. Neural Comput. Appl. 23(3-4): 937-945 (2013) - [j22]Chunhua Zhang, Yuan-Hai Shao, Junyan Tan, Naiyang Deng:
Mixed-norm linear support vector machine. Neural Comput. Appl. 23(7-8): 2159-2166 (2013) - [j21]Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang:
Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. 20(3): 213-216 (2013) - [c13]Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng:
Proximal Plane Clustering via Eigenvalues. ITQM 2013: 41-47 - [c12]Yuan-Hai Shao, Wei-Jie Chen, Wen-Biao Huang, Zhi-Min Yang, Nai-Yang Deng:
The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. ITQM 2013: 1032-1038 - 2012
- [j20]Jia Lv, Naiyang Deng:
Multi-Class Transductive Classification Based on Local Learning and Adjustable Class Label Representation. Int. J. Pattern Recognit. Artif. Intell. 26(6) (2012) - [j19]Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang:
Probabilistic outputs for twin support vector machines. Knowl. Based Syst. 33: 145-151 (2012) - [j18]Yuan-Hai Shao, Nai-Yang Deng:
A coordinate descent margin based-twin support vector machine for classification. Neural Networks 25: 114-121 (2012) - [j17]Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang:
Least squares recursive projection twin support vector machine for classification. Pattern Recognit. 45(6): 2299-2307 (2012) - [c11]Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing:
Network Kernel SVM for microarray classification and gene sets selection. ISB 2012: 101-105 - 2011
- [j16]Xiaojian Shao, Chris Soon Heng Tan, Courtney Voss, Shawn S. C. Li, Naiyang Deng, Gary D. Bader:
A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence. Bioinform. 27(3): 383-390 (2011) - [j15]Xian-Wen Ren, Yong-Cui Wang, Yong Wang, Xiang-Sun Zhang, Nai-Yang Deng:
Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation. BMC Bioinform. 12: 409 (2011) - [j14]Yong-Cui Wang, Yong Wang, Zhi-Xia Yang, Nai-Yang Deng:
Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. BMC Syst. Biol. 5(S-1): S6 (2011) - [j13]Yong-Cui Wang, Chunhua Zhang, Nai-Yang Deng, Yong Wang:
Kernel-based data fusion improves the drug-protein interaction prediction. Comput. Biol. Chem. 35(6): 353-362 (2011) - [j12]Kun Zhao, Mingyu Zhang, Naiyang Deng:
New robust unsupervised support vector machines. J. Syst. Sci. Complex. 24(3): 466-476 (2011) - [j11]Dong Dong, Xiaojian Shao, Naiyang Deng, Zhaolei Zhang:
Gene expression variations are predictive for stochastic noise. Nucleic Acids Res. 39(2): 403-413 (2011) - [j10]Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng:
Improvements on Twin Support Vector Machines. IEEE Trans. Neural Networks 22(6): 962-968 (2011) - 2010
- [j9]Yong-Cui Wang, Jiguang Wang, Zhixia Yang, Nai-Yang Deng:
Sequence-based protein-protein interaction prediction via support vector machine. J. Syst. Sci. Complex. 23(5): 1012-1023 (2010)
2000 – 2009
- 2009
- [j8]Zhixia Yang, Yingjie Tian, Naiyang Deng:
Leave-one-out bounds for support vector ordinal regression machine. Neural Comput. Appl. 18(7): 731-748 (2009) - [c10]Kun Zhao, Yingjie Tian, Naiyang Deng:
Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. ISNN (2) 2009: 312-321 - [r1]Emilio Spedicato, Naiyang Deng, Jianzhong Zhang, Shaolin Xi:
Numerical Methods for Unary Optimization. Encyclopedia of Optimization 2009: 2682-2689 - 2007
- [j7]Haibin Zhang, Naiyang Deng:
An improved inexact Newton method. J. Glob. Optim. 39(2): 221-234 (2007) - [c9]Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian:
A Leave-One-Out Bound for nu-Support Vector Regression. International Conference on Computational Science (3) 2007: 669-676 - [c8]Kun Zhao, Yingjie Tian, Naiyang Deng:
Unsupervised and Semi-supervised Lagrangian Support Vector Machines. International Conference on Computational Science (3) 2007: 882-889 - [c7]Kun Zhao, Ying-Jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio:
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. ICDM Workshops 2007: 331-336 - [c6]Haibin Zhang, Qiang Cheng, Yi Xue, Naiyang Deng:
An Efficient Version on a New Improved Method of Tangent Hyperbolas. LSMS (1) 2007: 205-214 - 2006
- [j6]L. H. Chen, Naiyang Deng, Jianzhong Zhang:
A Modified Quasi-Newton Method for Structured Optimization with Partial Information on the Hessian. Comput. Optim. Appl. 35(1): 5-18 (2006) - [c5]Kun Zhao, Ying-Jie Tian, Naiyang Deng:
Unsupervised and Semi-Supervised Two-class Support Vector Machines. ICDM Workshops 2006: 813-817 - 2005
- [j5]Naiyang Deng, Yi Xue, Jianzhong Zhang, Ping Zhong:
An Inexact Newton Method Derived from Efficiency Analysis. J. Glob. Optim. 31(2): 287-315 (2005) - [c4]Zhixia Yang, Naiyang Deng, Yingjie Tian:
A Multi-class Classification Algorithm based on Ordinal Regression Machine. CIMCA/IAWTIC 2005: 810-815 - [c3]Yingjie Tian, Naiyang Deng:
Leave-one-out Bounds for Support Vector Regression. CIMCA/IAWTIC 2005: 1061-1066 - [c2]Zhiquan Qi, Yingjie Tian, Naiyang Deng:
A New Support Vector Machine for Multi-class Classification. CIS (1) 2005: 580-585 - [c1]Yingjie Tian, Naiyang Deng:
Support Vector Classification with Nominal Attributes. CIS (1) 2005: 586-591 - 2004
- [j4]Naiyang Deng, Haibin Zhang:
Theoretical efficiency of a new inexact method of tangent hyperbolas. Optim. Methods Softw. 19(3-4): 247-265 (2004) - 2002
- [j3]Jianzhong Zhang, Yi Xue, Ping Zhong, Naiyang Deng:
PCG-inexact Newton methods for unary optimization. Eur. J. Oper. Res. 143(2): 419-431 (2002) - 2000
- [j2]Jianzhong Zhang, L. H. Chen, Naiyang Deng:
A Family of Scaled Factorized Broyden-Like Methods for Nonlinear Least Squares Problems. SIAM J. Optim. 10(4): 1163-1179 (2000)
1990 – 1999
- 1994
- [j1]Emilio Spedicato, Zhi Chen, Naiyang Deng:
A class of difference ABS-type algorithms for a nonlinear system of equations. Numer. Linear Algebra Appl. 1(3): 313-329 (1994)
Coauthor Index
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