Chun-Na Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 64

Top Topics

Discriminant Analysis

Top Venues

Knowl. Based Syst.

Publications

Chun-Na Li, Ling-Wei Huang, Yuan-Hai Shao, Tingting Guo, Yu Mao
Feature selection by Universum embedding. Pattern Recognit. 153 (2024)
Ting-Ting Zhu, Chun-Na Li, Tian Liu, Yuan-Hai Shao
Learning using granularity statistical invariants for classification. Appl. Intell. 54 (8) (2024)
Wenze Shao, Yuan-Hai Shao, Chun-Na Li
A novel regularization method for decorrelation learning of non-parallel hyperplanes. Inf. Sci. 667 (2024)
Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao
-norm. Ann. Oper. Res. 339 (3) (2024)
Chun-Na Li, Yi Li, Yuan-Hai Shao
Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
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)
Ting-Ting Zhu, Yuan-Hai Shao, Chun-Na Li, Tian Liu
Learning using granularity statistical invariants for classification. CoRR (2024)
Chun-Na Li, Jiakou Liu, Yanhui Meng, Yuan-Hai Shao
Recursive universum linear discriminant analysis. Optim. Lett. 18 (6) (2024)
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)
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)
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)
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)
Xiang-Fei Yang, Chun-Na Li, Yuan-Hai Shao
Robust multi-view discriminant analysis with view-consistency. Inf. Sci. 596 (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)
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)
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)
Chun-Na Li, Yi-Fan Qi, Da Zhao, Tingting Guo, Lan Bai
F $F$ -norm two-dimensional linear discriminant analysis and its application on face recognition. Int. J. Intell. Syst. 37 (11) (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)
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)
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)
Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua
-norm. Int. J. Intell. Syst. 36 (2) (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)
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)
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)
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)
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)
Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (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)
Changhui Wang, Mei Liang, Chun-Na Li
Adaptive Fuzzy Sliding Mode Observer for Cylinder Mass Flow Estimation in SI Engines. IEEE Access 6 (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)
Chen Wang, Chun-Na Li, Hua-Xin Pei, Yan-Ru Guo, Yuan-Hai Shao
-norm Best Fitting Hyperplane Classifier. ICCS (2017)
Ya-Fen Ye, Chao Ying, Yue-Xiang Jiang, Chun-Na Li
-Norm Least Squares Support Vector Regression via the Alternating Direction Method of Multipliers. J. Adv. Comput. Intell. Intell. Informatics 21 (6) (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, 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)
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)
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)
Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65 (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, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng
Proximal Classifier via Absolute Value Inequalities. ICDM Workshops (2014)