Yuan-Hai Shao - RankMe

143 papers Misc 1Journal 128Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis With Feature Selection. IEEE J. Biomed. Health Informatics Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Zhiquan Qi
2025	J	`jnl`	A CVaR-Based Programming for Support Vector Machine with Uncertain Information. Asia Pac. J. Oper. Res. Jiakang Du, Yiju Wang, Yuan-Hai Shao
2025	J	`jnl`	Distribution Metric Based $V$-Matrix Support Vector Machine. IEEE Signal Process. Lett. Yiwei Song, Yuan-Hai Shao, Chun-Na Li
2025	J	`jnl`	Domain Adaptation via Learning Using Statistical Invariant. IEEE Trans. Knowl. Data Eng. Chun-Na Li, Yiwei Song, Yuan-Hai Shao
2025	J	`jnl`	Geometric relative margin machine for heterogeneous distribution and imbalanced classification. Inf. Sci. Xiao-Jing Lv, Ling-Wei Huang, Yuan-Hai Shao
2025	J	`jnl`	Learning using statistical invariants with privileged information. Inf. Sci. Xueqin Yan, Chun-Na Li, Yuan-Hai Shao, Yanhui Meng
2025	J	`jnl`	MIEL: Enhancing Long- and Ultra-Long-Term Time-Series Forecasting With Multiscale Input and Ensemble Linear Networks. IEEE Internet Things J. Jinsheng Yang, Zeng-Rong Zheng, Chun-Na Li, Yichen Li, Jie Song, Yuan-Hai Shao
2025	J	`jnl`	SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant. CoRR Chunna Li, Yiwei Song, Yuan-Hai Shao
2024	J	`jnl`	A new fast ADMM for kernelless SVM classifier with truncated fraction loss. Knowl. Based Syst. Huajun Wang, Weijun Zhou, Yuan-Hai Shao
2024	J	`jnl`	A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. J. Comput. Appl. Math. Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li
2024	J	`jnl`	A novel regularization method for decorrelation learning of non-parallel hyperplanes. Inf. Sci. Wenze Shao, Yuan-Hai Shao, Chun-Na Li
2024	J	`jnl`	Comprehensive review on twin support vector machines. Ann. Oper. Res. M. Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao, M. A. Ganaie
2024	J	`jnl`	Feature selection by Universum embedding. Pattern Recognit. Chun-Na Li, Ling-Wei Huang, Yuan-Hai Shao, Tingting Guo, Yu Mao
2024	J	`jnl`	Generalization Memorization Machine with Zero Empirical Risk for Classification. Pattern Recognit. Zhen Wang, Lan Bai, Yuan-Hai Shao
2024	J	`jnl`	Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting. IEEE Trans. Emerg. Top. Comput. Intell. Chun-Na Li, Yi Li, Yuan-Hai Shao
2024	J	`jnl`	Large-scale robust regression with truncated loss via majorization-minimization algorithm. Eur. J. Oper. Res. Ling-Wei Huang, Yuan-Hai Shao, Xiao-Jing Lv, Chun-Na Li
2024	J	`jnl`	Learning using granularity statistical invariants for classification. Appl. Intell. Ting-Ting Zhu, Chun-Na Li, Tian Liu, Yuan-Hai Shao
2024	J	`jnl`	Learning using granularity statistical invariants for classification. CoRR Ting-Ting Zhu, Yuan-Hai Shao, Chun-Na Li, Tian Liu
2024	J	`jnl`	Recursive universum linear discriminant analysis. Optim. Lett. Chun-Na Li, Jiakou Liu, Yanhui Meng, Yuan-Hai Shao
2024	J	`jnl`	Regularized linear discriminant analysis based on generalized capped l Ann. Oper. Res. Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao
2023	J	`jnl`	A multistage deep imputation framework for missing values large segment imputation with statistical metrics. Appl. Soft Comput. Jinsheng Yang, Yuan-Hai Shao, Chunna Li, Wensi Wang
2023	J	`jnl`	CNTS: Cooperative Network for Time Series. IEEE Access Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li
2023	J	`jnl`	CNTS: Cooperative Network for Time Series. CoRR Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li
2023	J	`jnl`	Capped norm linear discriminant analysis and its applications. Appl. Intell. Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Chun-Na Li, Yuan-Hai Shao
2023	J	`jnl`	Classification by Estimating the Cumulative Distribution Function for Small Data. IEEE Access Meng-Xian Zhu, Yuan-Hai Shao
2023	J	`jnl`	Creating Universum for class imbalance via locality and its application in multiview subspace learning. Inf. Sci. Xiang-Fei Yang, Dong-Lin Wang, Jia-Hang Pan, Chun-Na Li, Yuan-Hai Shao
2023	J	`jnl`	Least Squares Maximum and Weighted Generalization-Memorization Machines. CoRR Shuai Wang, Zhen Wang, Yuan-Hai Shao
2023	J	`jnl`	Locally finite distance clustering with discriminative information. Inf. Sci. Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo
2023	J	`jnl`	L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Access Chun-Na Li, Yi Li, Yanhui Meng, Pei-Wei Ren, Yuan-Hai Shao
2023	J	`jnl`	Twin SVM for conditional probability estimation in binary and multiclass classification. Pattern Recognit. Yuan-Hai Shao, Xiao-Jing Lv, Ling-Wei Huang, Lan Bai
2023	J	`jnl`	Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Ling-Wei Huang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng
2022	J	`jnl`	Classification by estimating the cumulative distribution function for small data. CoRR Meng-Xian Zhu, Yuan-Hai Shao
2022	—	`conf`	Fast support vector classifier with generalization-memorization kernel. ITQM Wenwen Guo, Lv Yan, Jia-Yu Yin, Wang Zhen, Yuan-Hai Shao
2022	J	`jnl`	Generalization-Memorization Machines. CoRR Zhen Wang, Yuan-Hai Shao
2022	—	`conf`	Learning using rebalanced statistical invariants for imbalanced classification. ITQM Zhen-Qi Liu, Yuan-Hai Shao
2022	J	`jnl`	Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng
2022	J	`jnl`	Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics. CoRR Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li, Wensi Wang
2022	J	`jnl`	Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. CoRR Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li
2022	J	`jnl`	Proximal operator and optimality conditions for ramp loss SVM. Optim. Lett. Huajun Wang, Yuan-Hai Shao, Naihua Xiu
2022	J	`jnl`	Robust multi-view discriminant analysis with view-consistency. Inf. Sci. Xiang-Fei Yang, Chun-Na Li, Yuan-Hai Shao
2022	J	`jnl`	Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. Appl. Soft Comput. Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2022	J	`jnl`	Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. IEEE Trans. Fuzzy Syst. Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
2022	J	`jnl`	Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
2022	J	`jnl`	Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. Appl. Intell. Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
2021	J	`jnl`	A Multiclass Nonparallel Parametric-Margin Support Vector Machine. Inf. Shu-Wang Du, Ming-Chuan Zhang, Pei Chen, Hui-Feng Sun, Weijie Chen, Yuan-Hai Shao
2021	J	`jnl`	Comprehensive Review On Twin Support Vector Machines. CoRR Mohammad Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao
2021	—	`conf`	Divergent Projection Analysis for Unsupervised Dimensionality Reduction. ITQM Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2021	J	`jnl`	Feature selection for high-dimensional regression via sparse LSSVR based on L Int. J. Intell. Syst. Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua
2021	J	`jnl`	Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. CoRR Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao
2021	J	`jnl`	General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2021	J	`jnl`	Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2021	—	`conf`	Local density peaks clustering with small size distance matrix. ITQM Meng-Xian Zhu, Xiao-Jing Lv, Weijie Chen, Chun-Na Li, Yuan-Hai Shao
2021	J	`jnl`	MPMSVC: Multiple Parametric-Margin Support Vector Clustering. IEEE Access Yibo Jiang, Wei-Jie Chen, Yu-Qing Wang, Ming-Chuan Zhang, Yuan-Hai Shao
2021	J	`jnl`	Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. Ya-Fen Ye, Yuan-Hai Shao, Chunna Li, Xiang-Yu Hua, Yan-Ru Guo
2021	J	`jnl`	Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification. Eng. Appl. Artif. Intell. Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Yuan-Hai Shao, Ya-Fen Ye, Cheng-zi Jiang
2021	J	`jnl`	Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. IEEE Access Xiang-Fei Yang, Wensi Wang, Liming Liu, Yuan-Hai Shao, Liting Zhang, Naiyang Deng
2021	J	`jnl`	Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition. Eng. Appl. Artif. Intell. Chun-Na Li, Yi-Fan Qi, Yuan-Hai Shao, Yan-Ru Guo, Ya-Fen Ye
2021	J	`jnl`	Smooth pinball loss nonparallel support vector machine for robust classification. Appl. Soft Comput. Ming-Zeng Liu, Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen
2020	J	`jnl`	Can the Exchange Rate Be Used to Predict the Shanghai Composite Index? IEEE Access Jun Zhang, Yuan-Hai Shao, Ling-Wei Huang, Jia-Ying Teng, Yu-Ting Zhao, Zhu-Kai Yang, Xin-Yang Li
2020	J	`jnl`	Capped norm linear discriminant analysis and its applications. CoRR Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao
2020	J	`jnl`	Generalized elastic net Lp-norm nonparallel support vector machine. Eng. Appl. Artif. Intell. Chun-Na Li, Pei-Wei Ren, Yuan-Hai Shao, Ya-Fen Ye, Yan-Ru Guo
2020	J	`jnl`	Multiple Flat Projections for Cross-manifold Clustering. CoRR Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2020	J	`jnl`	NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang
2020	J	`jnl`	Principal Component Analysis Based on T𝓁 CoRR Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2020	J	`jnl`	Ramp-based twin support vector clustering. Neural Comput. Appl. Zhen Wang, Xu Chen, Yuan-Hai Shao, Chun-Na Li
2020	J	`jnl`	Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. Chun-Na Li, Yuan-Hai Shao, Wotao Yin, Ming-Zeng Liu
2020	J	`jnl`	Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. CoRR Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
2019	J	`jnl`	2DRLPP: Robust two-dimensional locality preserving projection with regularization. Knowl. Based Syst. Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng
2019	J	`jnl`	A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. IEEE Access Wei-Jie Chen, Kai-Li Yang, Yuan-Hai Shao, Yu-Juan Chen, Ju Zhang, Jing-Jing Yao
2019	J	`jnl`	A general model for plane-based clustering with loss function. CoRR Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2019	J	`jnl`	Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. Knowl. Based Syst. Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li
2019	J	`jnl`	Joint sample and feature selection via sparse primal and dual LSSVM. Knowl. Based Syst. Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu
2019	J	`jnl`	Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. Knowl. Based Syst. Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang
2019	J	`jnl`	Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification. IEEE Access Ling-Wei Huang, Yuan-Hai Shao, Jun Zhang, Yu-Ting Zhao, Jia-Ying Teng
2019	J	`jnl`	Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2019	J	`jnl`	Robust k-subspace discriminant clustering. Appl. Soft Comput. Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang
2019	J	`jnl`	Single Versus Union: Non-parallel Support Vector Machine Frameworks. CoRR Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng
2019	J	`jnl`	Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao, Yan Xu, Li-Ming Liu, Zhen Wang
2019	J	`jnl`	Support Vector Machine Classifier via L CoRR Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
2018	J	`jnl`	Generalized two-dimensional linear discriminant analysis with regularization. CoRR Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng
2018	J	`jnl`	Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2018	J	`jnl`	Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. Ming-Zeng Liu, Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Wei-Jie Chen
2018	J	`jnl`	Ramp-based Twin Support Vector Clustering. CoRR Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
2018	J	`jnl`	Reversible Discriminant Analysis. IEEE Access Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li
2018	J	`jnl`	Robust Neurocomputing Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng
2018	J	`jnl`	Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2018	J	`jnl`	Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization. IEEE Access Xiao-Quan Sun, Yi-Jian Chen, Yuan-Hai Shao, Chun-Na Li, Changhui Wang
2018	J	`jnl`	Sparse Pattern Recognit. Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng
2017	Misc	`conf`	Alternating Direction Method of Multipliers for L ICCS Chen Wang, Chun-Na Li, Hua-Xin Pei, Yan-Ru Guo, Yuan-Hai Shao
2017	—	`conf`	D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation. ITQM Hua-Xin Pei, Zeng-Rong Zheng, Chen Wang, Chun-Na Li, Yuan-Hai Shao
2017	J	`jnl`	Robust L Appl. Math. Comput. Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua
2017	J	`jnl`	Robust and Sparse J. Adv. Comput. Intell. Intell. Informatics Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen
2017	J	`jnl`	Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen
2017	J	`jnl`	Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
2017	J	`jnl`	k-Proximal plane clustering. Int. J. Mach. Learn. Cybern. Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao
2016	J	`jnl`	A novel parametric-insensitive nonparallel support vector machine for regression. Neurocomputing Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao, Ya-Fen Ye
2016	J	`jnl`	Extensive semi-quantitative regression. Neurocomputing Yuan-Hai Shao, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng
2016	J	`jnl`	Least squares recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. Zhi-Min Yang, He-Ji Wu, Chun-Na Li, Yuan-Hai Shao
2016	J	`jnl`	MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2016	J	`jnl`	MLTSVM: A novel twin support vector machine to multi-label learning. Pattern Recognit. Wei-Jie Chen, Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng
2016	J	`jnl`	Multiple recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. Chun-Na Li, Yun-Feng Huang, He-Ji Wu, Yuan-Hai Shao, Zhi-Min Yang
2016	J	`jnl`	One norm linear programming support vector regression. Neurocomputing Muhammad Tanveer, Mohit Mangal, Izhar Ahmad, Yuan-Hai Shao
2016	J	`jnl`	Weighted Lagrange ε-twin support vector regression. Neurocomputing Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2015	—	`conf`	A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression. ITQM Xiang-Yu Hua, Zhi-Min Yang, Ya-Fen Ye, Yuan-Hai Shao
2015	J	`jnl`	Combined outputs framework for twin support vector machines. Appl. Intell. Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng
2015	J	`jnl`	Financial Conditions Index Construction Through Weighted J. Adv. Comput. Intell. Intell. Informatics Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao, Chun-Na Li
2015	J	`jnl`	Laplacian unit-hyperplane learning from positive and unlabeled examples. Inf. Sci. Yuan-Hai Shao, Wei-Jie Chen, Li-Ming Liu, Nai-Yang Deng
2015	J	`jnl`	Local k-proximal plane clustering. Neural Comput. Appl. Zhi-Min Yang, Yan-Ru Guo, Chun-Na Li, Yuan-Hai Shao
2015	—	`conf`	Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. ICDM Workshops Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng
2015	J	`jnl`	Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng
2015	J	`jnl`	The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense. J. Optim. Theory Appl. Yuan-Hai Shao, Nai-Yang Deng
2015	J	`jnl`	Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng
2015	J	`jnl`	Wavelet J. Adv. Comput. Intell. Intell. Informatics Ya-Fen Ye, Yuan-Hai Shao, Chun-Na Li
2015	J	`jnl`	Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Chun-Na Li, Nai-Yang Deng
2014	J	`jnl`	A novel feature selection method for twin support vector machine. Knowl. Based Syst. Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng
2014	J	`jnl`	A proximal classifier with positive and negative local regions. Neurocomputing Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng
2014	J	`jnl`	An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognit. Yuan-Hai Shao, Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Nai-Yang Deng
2014	J	`jnl`	Laplacian least squares twin support vector machine for semi-supervised classification. Neurocomputing Wei-Jie Chen, Yuan-Hai Shao, Nai-Yang Deng, Zhi-Lin Feng
2014	J	`jnl`	Laplacian smooth twin support vector machine for semi-supervised classification. Int. J. Mach. Learn. Cybern. Wei-Jie Chen, Yuan-Hai Shao, Ning Hong
2014	J	`jnl`	Manifold proximal support vector machine for semi-supervised classification. Appl. Intell. Wei-Jie Chen, Yuan-Hai Shao, Deng-Ke Xu, Yongfeng Fu
2014	J	`jnl`	Nonparallel hyperplane support vector machine for binary classification problems. Inf. Sci. Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng
2014	—	`conf`	Proximal Classifier via Absolute Value Inequalities. ICDM Workshops Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng
2014	J	`jnl`	Proximal parametric-margin support vector classifier and its applications. Neural Comput. Appl. Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
2014	—	`conf`	Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng
2013	J	`jnl`	A GA-based model selection for smooth twin parametric-margin support vector machine. Pattern Recognit. Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu
2013	J	`jnl`	A novel margin-based twin support vector machine with unity norm hyperplanes. Neural Comput. Appl. Yuan-Hai Shao, Nai-Yang Deng
2013	J	`jnl`	A proximal classifier with consistency. Knowl. Based Syst. Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen
2013	J	`jnl`	A regularization for the projection twin support vector machine. Knowl. Based Syst. Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
2013	J	`jnl`	An ε-twin support vector machine for regression. Neural Comput. Appl. Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng
2013	J	`jnl`	Ensemble learning for generalised eigenvalues proximal support vector machines. Int. J. Comput. Appl. Technol. Wei-Jie Chen, Yuan-Hai Shao, Yibo Jiang, Chongpu Xia
2013	—	`conf`	Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression. ITQM Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao
2013	—	`conf`	Feature Selection Based On Linear Twin Support Vector Machines. ITQM Zhi-Min Yang, Jun-Yun He, Yuan-Hai Shao
2013	J	`jnl`	Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen, Zhen Wang
2013	—	`conf`	Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution. ITQM Wei-Jie Chen, Yuan-Hai Shao, Ya-Fen Ye
2013	J	`jnl`	Least squares twin parametric-margin support vector machine for classification. Appl. Intell. Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng
2013	J	`jnl`	Mixed-norm linear support vector machine. Neural Comput. Appl. Chunhua Zhang, Yuan-Hai Shao, Junyan Tan, Naiyang Deng
2013	J	`jnl`	Multiple birth support vector machine for multi-class classification. Neural Comput. Appl. Zhi-Xia Yang, Yuan-Hai Shao, Xiang-Sun Zhang
2013	—	`conf`	Proximal Plane Clustering via Eigenvalues. ITQM Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng
2013	—	`conf`	The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. ITQM Yuan-Hai Shao, Wei-Jie Chen, Wen-Biao Huang, Zhi-Min Yang, Nai-Yang Deng
2012	J	`jnl`	A coordinate descent margin based-twin support vector machine for classification. Neural Networks Yuan-Hai Shao, Nai-Yang Deng
2012	J	`jnl`	Least squares recursive projection twin support vector machine for classification. Pattern Recognit. Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang
2012	J	`jnl`	Probabilistic outputs for twin support vector machines. Knowl. Based Syst. Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen, Zhen Wang
2011	J	`jnl`	Improvements on Twin Support Vector Machines. IEEE Trans. Neural Networks Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng