Nai-Yang Deng

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 30

Top Topics

Feature Selection

Imbalanced Data

Linear Discriminant

Top Venues

Knowl. Based Syst.

Publications

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 (2023)
Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng
Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. 52 (8) (2022)
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 (2021)
Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
-norm Maximization. CoRR (2020)
Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
-projection twin support vector machine for pattern classification. Neurocomputing 376 (2020)
Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
Multiple Flat Projections for Cross-manifold Clustering. CoRR (2020)
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)
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 (2019)
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. 500 (2019)
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 (2019)
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)
Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
-norm least squares support vector machine with feature selection. Pattern Recognit. 78 (2018)
Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng
Generalized two-dimensional linear discriminant analysis with regularization. CoRR (2018)
Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng
-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing 315 (2018)
Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR (2018)
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 (2018)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR (2017)
Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua
-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305 (2017)
Yong-Cui Wang, Shi-Long Chen, Nai-Yang Deng, Yong Wang
Computational probing protein-protein interactions targeting small molecules. Bioinform. 32 (2) (2016)
Yuan-Hai Shao, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng
Extensive semi-quantitative regression. Neurocomputing 218 (2016)
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 (2016)
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 (2016)
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 (2016)
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)
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 (2015)
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) (2015)
Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65 (2015)
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) (2015)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng
Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Yuan-Hai Shao, Wei-Jie Chen, Li-Ming Liu, Nai-Yang Deng
Laplacian unit-hyperplane learning from positive and unlabeled examples. Inf. Sci. 314 (2015)
Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng
A novel feature selection method for twin support vector machine. Knowl. Based Syst. 59 (2014)
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 (2014)
Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng
Proximal Classifier via Absolute Value Inequalities. ICDM Workshops (2014)
Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng
A proximal classifier with positive and negative local regions. Neurocomputing 145 (2014)
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) (2014)
Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng
Nonparallel hyperplane support vector machine for binary classification problems. Inf. Sci. 263 (2014)
Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng
Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM (2014)
Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang
Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. 20 (3) (2013)
Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
A regularization for the projection twin support vector machine. Knowl. Based Syst. 37 (2013)
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) (2013)
Yong-Cui Wang, Shi-Long Chen, Nai-Yang Deng, Yong Wang
Network predicting drug's anatomical therapeutic chemical code. Bioinform. 29 (10) (2013)
Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen
A proximal classifier with consistency. Knowl. Based Syst. 49 (2013)
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) (2013)
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)
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) (2013)
Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng
Proximal Plane Clustering via Eigenvalues. ITQM (2013)
Yuan-Hai Shao, Nai-Yang Deng
A novel margin-based twin support vector machine with unity norm hyperplanes. Neural Comput. Appl. 22 (7-8) (2013)
Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang
Least squares recursive projection twin support vector machine for classification. Pattern Recognit. 45 (6) (2012)
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 (2012)
Yuan-Hai Shao, Nai-Yang Deng
A coordinate descent margin based-twin support vector machine for classification. Neural Networks 25 (2012)
Yong-Cui Wang, Yong Wang, Zhixia Yang, Nai-Yang Deng
Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. BMC Syst. Biol. 5 (S-1) (2011)
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) (2011)
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 (2011)
Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng
Improvements on Twin Support Vector Machines. IEEE Trans. Neural Networks 22 (6) (2011)
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) (2010)