Yuan-Hai Shao

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 85

Top Venues

Publications

Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li
A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. J. Comput. Appl. Math. 437 (2024)
Jinsheng Yang, Yuan-Hai Shao, Chunna Li, Wensi Wang
A multistage deep imputation framework for missing values large segment imputation with statistical metrics. Appl. Soft Comput. 146 (2023)
Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Chun-Na Li, Yuan-Hai Shao
Capped norm linear discriminant analysis and its applications. Appl. Intell. 53 (15) (2023)
Shuai Wang, Zhen Wang, Yuan-Hai Shao
Least Squares Maximum and Weighted Generalization-Memorization Machines. CoRR (2023)
Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li
CNTS: Cooperative Network for Time Series. IEEE Access 11 (2023)
Xiang-Fei Yang, Dong-Lin Wang, Jia-Hang Pan, Chun-Na Li, Yuan-Hai Shao
Creating Universum for class imbalance via locality and its application in multiview subspace learning. Inf. Sci. 647 (2023)
Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li
CNTS: Cooperative Network for Time Series. CoRR (2023)
Meng-Xian Zhu, Yuan-Hai Shao
Classification by Estimating the Cumulative Distribution Function for Small Data. IEEE Access 11 (2023)
Chun-Na Li, Yi Li, Yan-Hui Meng, Pei-Wei Ren, Yuan-Hai Shao
L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Access 11 (2023)
Yuan-Hai Shao, Xiao-Jing Lv, Ling-Wei Huang, Lan Bai
Twin SVM for conditional probability estimation in binary and multiclass classification. Pattern Recognit. 136 (2023)
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)
Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo
Locally finite distance clustering with discriminative information. Inf. Sci. 623 (2023)
Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Xiang-Fei Yang, Chun-Na Li, Yuan-Hai Shao
Robust multi-view discriminant analysis with view-consistency. Inf. Sci. 596 (2022)
Zhen Wang, Yuan-Hai Shao
Generalization-Memorization Machines. CoRR (2022)
Wenwen Guo, Lv Yan, Jia-Yu Yin, Wang Zhen, Yuan-Hai Shao
Fast support vector classifier with generalization-memorization kernel. ITQM (2022)
Huajun Wang, Yuan-Hai Shao, Naihua Xiu
Proximal operator and optimality conditions for ramp loss SVM. Optim. Lett. 16 (3) (2022)
Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li, Wensi Wang
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics. CoRR (2022)
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)
Zhen-Qi Liu, Yuan-Hai Shao
Learning using rebalanced statistical invariants for imbalanced classification. ITQM (2022)
Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. Appl. Soft Comput. 123 (2022)
Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. CoRR (2022)
Meng-Xian Zhu, Yuan-Hai Shao
Classification by estimating the cumulative distribution function for small data. CoRR (2022)
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. Appl. Intell. 52 (8) (2022)
Mohammad Tanveer, T. Rajani, Reshma Rastogi, Yuan-Hai Shao
Comprehensive Review On Twin Support Vector Machines. CoRR (2021)
Shu-Wang Du, Ming-Chuan Zhang, Pei Chen, Hui-Feng Sun, Weijie Chen, Yuan-Hai Shao
A Multiclass Nonparallel Parametric-Margin Support Vector Machine. Inf. 12 (12) (2021)
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)
Ya-Fen Ye, Yuan-Hai Shao, Chunna Li, Xiang-Yu Hua, Yan-Ru Guo
Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. 110 (2021)
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Yuan-Hai Shao, Ya-Fen Ye, Cheng-zi Jiang
Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification. Eng. Appl. Artif. Intell. 97 (2021)
Ming-Zeng Liu, Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen
Smooth pinball loss nonparallel support vector machine for robust classification. Appl. Soft Comput. 98 (2021)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
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 (2021)
Chun-Na Li, Yi-Fan Qi, Yuan-Hai Shao, Yan-Ru Guo, Ya-Fen Ye
Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition. Eng. Appl. Artif. Intell. 104 (2021)
Yibo Jiang, Wei-Jie Chen, Yu-Qing Wang, Ming-Chuan Zhang, Yuan-Hai Shao
MPMSVC: Multiple Parametric-Margin Support Vector Clustering. IEEE Access 9 (2021)
Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua
-norm. Int. J. Intell. Syst. 36 (2) (2021)
Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
Divergent Projection Analysis for Unsupervised Dimensionality Reduction. ITQM (2021)
Meng-Xian Zhu, Xiao-Jing Lv, Weijie Chen, Chun-Na Li, Yuan-Hai Shao
Local density peaks clustering with small size distance matrix. ITQM (2021)
Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. CoRR (2021)
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. CoRR (2020)
Jun Zhang, Yuan-Hai Shao, Ling-Wei Huang, Jia-Ying Teng, Yu-Ting Zhao, Zhu-Kai Yang, Xin-Yang Li
Can the Exchange Rate Be Used to Predict the Shanghai Composite Index? IEEE Access 8 (2020)
Chun-Na Li, Yuan-Hai Shao, Wotao Yin, Ming-Zeng Liu
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Chun-Na Li, Pei-Wei Ren, Yuan-Hai Shao, Ya-Fen Ye, Yan-Ru Guo
Generalized elastic net Lp-norm nonparallel support vector machine. Eng. Appl. Artif. Intell. 88 (2020)
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)
Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. 90 (2020)
Zhen Wang, Xu Chen, Yuan-Hai Shao, Chun-Na Li
Ramp-based twin support vector clustering. Neural Comput. Appl. 32 (14) (2020)
Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao
Capped norm linear discriminant analysis and its applications. CoRR (2020)
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
A general model for plane-based clustering with loss function. CoRR (2019)
Ling-Wei Huang, Yuan-Hai Shao, Jun Zhang, Yu-Ting Zhao, Jia-Ying Teng
Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification. IEEE Access 7 (2019)
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)
Wei-Jie Chen, Kai-Li Yang, Yuan-Hai Shao, Yu-Juan Chen, Ju Zhang, Jing-Jing Yao
A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. IEEE Access 7 (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)
Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (2019)
Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
Soft-Margin Loss. CoRR (2019)
Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. Knowl. Based Syst. 163 (2019)
Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao, Yan Xu, Li-Ming Liu, Zhen Wang
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing 337 (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)
Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen
Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. 146 (2018)
Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li
Reversible Discriminant Analysis. IEEE Access 6 (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)
Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
Ramp-based Twin Support Vector Clustering. CoRR (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)
Xiao-Quan Sun, Yi-Jian Chen, Yuan-Hai Shao, Chun-Na Li, Changhui Wang
Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization. IEEE Access 6 (2018)
Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen
Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks 93 (2017)
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)
Chen Wang, Chun-Na Li, Hua-Xin Pei, Yan-Ru Guo, Yuan-Hai Shao
-norm Best Fitting Hyperplane Classifier. ICCS (2017)
Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao
k-Proximal plane clustering. Int. J. Mach. Learn. Cybern. 8 (5) (2017)
Hua-Xin Pei, Zeng-Rong Zheng, Chen Wang, Chun-Na Li, Yuan-Hai Shao
D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation. ITQM (2017)
Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen
-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 21 (6) (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)
Chun-Na Li, Yun-Feng Huang, He-Ji Wu, Yuan-Hai Shao, Zhi-Min Yang
Multiple recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. 7 (5) (2016)
Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao, Ya-Fen Ye
A novel parametric-insensitive nonparallel support vector machine for regression. Neurocomputing 171 (2016)
Zhi-Min Yang, He-Ji Wu, Chun-Na Li, Yuan-Hai Shao
Least squares recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. 7 (3) (2016)
Muhammad Tanveer, Mohit Mangal, Izhar Ahmad, Yuan-Hai Shao
One norm linear programming support vector regression. Neurocomputing 173 (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)
Ya-Fen Ye, Yuan-Hai Shao, Chun-Na Li
-Norm Support Vector Regression with Feature Selection. J. Adv. Comput. Intell. Intell. Informatics 19 (3) (2015)
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)
Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao, Chun-Na Li
-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 19 (3) (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)
Xiang-Yu Hua, Zhi-Min Yang, Ya-Fen Ye, Yuan-Hai Shao
A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression. ITQM (2015)
Zhi-Min Yang, Yan-Ru Guo, Chun-Na Li, Yuan-Hai Shao
Local k-proximal plane clustering. Neural Comput. Appl. 26 (1) (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)
Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
Proximal parametric-margin support vector classifier and its applications. Neural Comput. Appl. 24 (3-4) (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.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yuan-Hai Shao