default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChun-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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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, Yuanhai Shao:
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, Xiao-Jing Lv, Chun-Na Li:
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, Tingting Guo, Yu Mao:
Feature selection by Universum embedding. Pattern Recognit. 153: 110514 (2024) - [j50]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): 2112-2124 (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
- [j49]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li:
CNTS: Cooperative Network for Time Series. IEEE Access 11: 31941-31950 (2023) - [j48]Chun-Na Li, Yi Li, Yanhui 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: 34250-34259 (2023) - [j47]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): 18488-18507 (2023) - [j46]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: 110129 (2023) - [j45]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: 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, Yuan-Hai Shao:
Creating Universum for class imbalance via locality and its application in multiview subspace learning. Inf. Sci. 647: 119478 (2023) - [c6]Junshan Yin, Chunna Li:
Feature selection SVM through Universum and its applications on text classification Feature selection SVM through Universum. SPCNC 2023: 408-414 - [i11]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li:
CNTS: Cooperative Network for Time Series. CoRR abs/2302.09800 (2023) - 2022
- [j42]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): 8793-8809 (2022) - [j41]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): 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) - [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) - 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, Xiang-Yu Hua, Yan-Ru Guo:
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, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142: 73-91 (2021) - [j33]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): 3880-3893 (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 - 2020
- [j32]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: 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, Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng:
ν-projection twin support vector machine for pattern classification. Neurocomputing 376: 10-24 (2020) - [j29]Zhen Wang, Xu Chen, Yuan-Hai Shao, Chun-Na Li:
Ramp-based twin support vector clustering. Neural Comput. Appl. 32(14): 9885-9896 (2020) - [j28]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): 915-926 (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)
2010 – 2019
- 2019
- [j27]Chun-Na Li, Yuan-Hai Shao, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang:
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (2019) - [j26]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: 80-96 (2019) - [j25]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
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, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng:
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) - [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
- [j20]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: 20334-20347 (2018) - [j19]Changhui Wang, Mei Liang, Chun-Na Li:
Adaptive Fuzzy Sliding Mode Observer for Cylinder Mass Flow Estimation in SI Engines. IEEE Access 6: 29558-29566 (2018) - [j18]Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li:
Reversible Discriminant Analysis. IEEE Access 6: 72551-72562 (2018) - [j17]Wei-Jie Chen, Chun-Na Li, Yuan-Hai Shao, Ju Zhang, Nai-Yang Deng:
Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing 315: 345-361 (2018) - [j16]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: 114-131 (2018) - [j15]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: 167-180 (2018) - [j14]Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng:
Sparse Lq-norm least squares support vector machine with feature selection. Pattern Recognit. 78: 167-181 (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) - 2017
- [j13]Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua:
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, Wei-Jie Chen:
Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks 93: 205-218 (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 - 2016
- [j9]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: 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, Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng:
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, Zhen Wang, Chun-Na Li, Nai-Yang Deng:
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, Nai-Yang Deng:
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65: 92-104 (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
Coauthor Index
Naiyang Deng
aka: Nai-Yang Deng
aka: Nai-Yang Deng
[j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [i12] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [i11] [j42] [j40] [i10] [i9] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c5] [j32] [j31] [j30] [j29] [j28] [i8] [i7] [i6] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [i5] [i4] [j20] [j18] [j17] [j16] [j15] [j14] [i3] [i2] [i1] [j13] [j12] [j10] [c4] [c3] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c2] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-19 00:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
