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Chun-Na Li 0001
Chunna Li 0001
Person information
- affiliation: Hainan University, School of Mathematics and Statistics, Haikou, China
- affiliation: Zhejiang University of Technology, Zhijiang College, Hangzhou, China
- affiliation (PhD 2012): Harbin Institute of Technology, China
Other persons with the same name
- Chun-Na Li (aka: Chunna Li) — disambiguation page
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Journal Articles
- 2024
- [j58]Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao
:
Regularized linear discriminant analysis based on generalized capped l2,q-norm. Ann. Oper. Res. 339(3): 1433-1459 (2024) - [j57]Ting-Ting Zhu, Chun-Na Li, Tian Liu, Yuan-Hai Shao:
Learning using granularity statistical invariants for classification. Appl. Intell. 54(8): 6667-6681 (2024) - [j56]Faxing Yu, Chunna Li
DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data. Eng. Appl. Artif. Intell. 127(Part B): 107319 (2024) - [j55]Ling-Wei Huang, Yuan-Hai Shao
Large-scale robust regression with truncated loss via majorization-minimization algorithm. Eur. J. Oper. Res. 319(2): 494-504 (2024) - [j54]Wenze Shao, Yuan-Hai Shao, Chun-Na Li:
A novel regularization method for decorrelation learning of non-parallel hyperplanes. Inf. Sci. 667: 120461 (2024) - [j53]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: 115471 (2024) - [j52]Chun-Na Li, Jiakou Liu, Yanhui Meng, Yuan-Hai Shao
Recursive universum linear discriminant analysis. Optim. Lett. 18(6): 1405-1419 (2024) - [j51]Chun-Na Li, Ling-Wei Huang, Yuan-Hai Shao
Feature selection by Universum embedding. Pattern Recognit. 153: 110514 (2024) - [j50]Chun-Na Li
Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2112-2124 (2024) - 2023
- [j49]Jinsheng Yang
CNTS: Cooperative Network for Time Series. IEEE Access 11: 31941-31950 (2023) - [j48]Chun-Na Li
L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Access 11: 34250-34259 (2023) - [j47]Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Chun-Na Li
Capped norm linear discriminant analysis and its applications. Appl. Intell. 53(15): 18488-18507 (2023) - [j46]Chun-Na Li
Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. 136: 110129 (2023) - [j45]Jinsheng Yang, Yuan-Hai Shao
A multistage deep imputation framework for missing values large segment imputation with statistical metrics. Appl. Soft Comput. 146: 110654 (2023) - [j44]Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo:
Locally finite distance clustering with discriminative information. Inf. Sci. 623: 607-632 (2023) - [j43]Xiang-Fei Yang, Dong-Lin Wang, Jia-Hang Pan, Chun-Na Li
Creating Universum for class imbalance via locality and its application in multiview subspace learning. Inf. Sci. 647: 119478 (2023) - 2022
- [j42]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. Appl. Intell. 52(8): 8793-8809 (2022) - [j41]Chun-Na Li, Yi-Fan Qi, Da Zhao
F $F$ -norm two-dimensional linear discriminant analysis and its application on face recognition. Int. J. Intell. Syst. 37(11): 8327-8347 (2022) - [j40]Xiang-Fei Yang, Chun-Na Li, Yuan-Hai Shao:
Robust multi-view discriminant analysis with view-consistency. Inf. Sci. 596: 153-168 (2022) - 2021
- [j39]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: 106840 (2021) - [j38]Ya-Fen Ye, Yuan-Hai Shao, Chunna Li
Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. 110: 107560 (2021) - [j37]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: 104033 (2021) - [j36]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: 104367 (2021) - [j35]Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua:
Feature selection for high-dimensional regression via sparse LSSVR based on Lp-norm. Int. J. Intell. Syst. 36(2): 1108-1130 (2021) - [j34]Chun-Na Li, Yuan-Hai Shao
Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142: 73-91 (2021) - [j33]Zhen Wang
General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3880-3893 (2021) - 2020
- [j32]Wei-Jie Chen
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. 90: 106142 (2020) - [j31]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) - [j30]Wei-Jie Chen
ν-projection twin support vector machine for pattern classification. Neurocomputing 376: 10-24 (2020) - [j29]Zhen Wang, Xu Chen
Ramp-based twin support vector clustering. Neural Comput. Appl. 32(14): 9885-9896 (2020) - [j28]Chun-Na Li
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. 31(3): 915-926 (2020) - 2019
- [j27]Chun-Na Li
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (2019) - [j26]Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing 337: 80-96 (2019) - [j25]Chun-Na Li
Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. 500: 274-297 (2019) - [j24]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: 227-240 (2019) - [j23]Wei-Jie Chen
2DRLPP: Robust two-dimensional locality preserving projection with regularization. Knowl. Based Syst. 169: 53-66 (2019) - [j22]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) - [j21]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) - 2018
- [j20]Xiao-Quan Sun, Yi-Jian Chen, Yuan-Hai Shao, Chun-Na Li
Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization. IEEE Access 6: 20334-20347 (2018) - [j19]Changhui Wang
Adaptive Fuzzy Sliding Mode Observer for Cylinder Mass Flow Estimation in SI Engines. IEEE Access 6: 29558-29566 (2018) - [j18]Lan Bai, Zhen Wang
Reversible Discriminant Analysis. IEEE Access 6: 72551-72562 (2018) - [j17]Wei-Jie Chen
Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing 315: 345-361 (2018) - [j16]Zhen Wang
Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. 462: 114-131 (2018) - [j15]Ming-Zeng Liu, Yuan-Hai Shao
Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. 146: 167-180 (2018) - [j14]Yuan-Hai Shao
Sparse Lq-norm least squares support vector machine with feature selection. Pattern Recognit. 78: 167-181 (2018) - 2017
- [j13]Ya-Fen Ye, Yuan-Hai Shao
Robust Lp-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305: 32-52 (2017) - [j12]Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen:
Robust and Sparse LP-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 21(6): 989-997 (2017) - [j11]Ya-Fen Ye, Chao Ying, Yue-Xiang Jiang, Chun-Na Li:
L1-Norm Least Squares Support Vector Regression via the Alternating Direction Method of Multipliers. J. Adv. Comput. Intell. Intell. Informatics 21(6): 1017-1025 (2017) - [j10]Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao
Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks 93: 205-218 (2017) - 2016
- [j9]Zhen Wang
MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. 369: 199-220 (2016) - [j8]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): 411-426 (2016) - [j7]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): 729-740 (2016) - [j6]Wei-Jie Chen
MLTSVM: A novel twin support vector machine to multi-label learning. Pattern Recognit. 52: 61-74 (2016) - 2015
- [j5]Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao, Chun-Na Li:
Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 19(3): 397-406 (2015) - [j4]Ya-Fen Ye, Yuan-Hai Shao, Chun-Na Li:
Wavelet Lp-Norm Support Vector Regression with Feature Selection. J. Adv. Comput. Intell. Intell. Informatics 19(3): 407-416 (2015) - [j3]Yuan-Hai Shao, Wei-Jie Chen
Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. 73: 276-288 (2015) - [j2]Zhi-Min Yang, Yan-Ru Guo, Chun-Na Li, Yuan-Hai Shao:
Local k-proximal plane clustering. Neural Comput. Appl. 26(1): 199-211 (2015) - [j1]Chun-Na Li, Yuan-Hai Shao
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65: 92-104 (2015)
Conference and Workshop Papers
- 2023
- [c6]Junshan Yin
Feature selection SVM through Universum and its applications on text classification Feature selection SVM through Universum. SPCNC 2023: 408-414 - 2021
- [c5]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: 331-338 - 2017
- [c4]Chen Wang, Chun-Na Li, Hua-Xin Pei, Yan-Ru Guo, Yuan-Hai Shao:
Alternating Direction Method of Multipliers for L1- and L2-norm Best Fitting Hyperplane Classifier. ICCS 2017: 1292-1301 - [c3]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: 407-414 - 2015
- [c2]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
- [c1]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
Informal and Other Publications
- 2024
- [i12]Ting-Ting Zhu, Yuan-Hai Shao, Chun-Na Li, Tian Liu:
Learning using granularity statistical invariants for classification. CoRR abs/2403.20122 (2024) - 2023
- [i11]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li:
CNTS: Cooperative Network for Time Series. CoRR abs/2302.09800 (2023) - 2022
- [i10]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 abs/2203.00399 (2022) - [i9]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li, Wensi Wang:
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics. CoRR abs/2209.11766 (2022) - 2020
- [i8]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) - [i7]Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao:
Capped norm linear discriminant analysis and its applications. CoRR abs/2011.02147 (2020) - [i6]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 abs/2011.05507 (2020) - 2019
- [i5]Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu:
A general model for plane-based clustering with loss function. CoRR abs/1901.09178 (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
- [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) - [i1]Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao:
Ramp-based Twin Support Vector Clustering. CoRR abs/1812.03710 (2018)
Coauthor Index
Naiyang Deng
aka: Nai-Yang Deng
aka: Nai-Yang Deng
[j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c5] [c4] [c3] [c2] [c1] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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