李春娜｜海南大学｜学者主页

2026

$$L_1$$-norm nonparallel hyperplane support vector quantile regression

Yafen Ye, Zhe Shi, Tian Jiasen, Jinshuo Weng, Chun‐Na Li

International Journal of Machine Learning and Cybernetics

DOI

2026

Convex combination Universum support vector machine with multiple Universum

Yi-Fan Qi, Chun‐Na Li, Yuan‐Hai Shao, Ting-Ting Guo

Neurocomputing

DOI

2026

Multi-view Learning Via Using Statistical Invariant

Bo Xu, Yiwei Song, Chun‐Na Li, YuanHai Shao

Pattern Recognition

DOI

2026

$\ell_{0}$-Norm Penalty Embedded Feature Selection in Universum Learning

Chun‐Na Li, Junshan Yin, YuanHai Shao, Yuangang Pan, Weijie Chen, Yiwei Song, Ivor Wai-Hung Tsang

IEEE Transactions on Artificial Intelligence

DOI

2025

Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis With Feature Selection

Yi-Fan Qi, Yuan‐Hai Shao, Chun‐Na Li, Zhiquan Qi

IEEE Journal of Biomedical and Health Informatics

DOI

2025

Group feature selection using non-class data

Chun‐Na Li, Yuangang Pan, Wei-Jie Chen, Ivor Wai-Hung Tsang, Yuan‐Hai Shao

Machine Learning

DOI

2025

MIEL: Enhancing Long- and Ultra-Long-Term Time-Series Forecasting With Multiscale Input and Ensemble Linear Networks

Jinsheng Yang, Zengrong Zheng, Chun‐Na Li, Y N Li, Jie Song, Yuan‐Hai Shao

IEEE Internet of Things Journal

DOI

2025

Learning using statistical invariants with privileged information

Xueqin Yan, Chun‐Na Li, Yuan‐Hai Shao, Yan-Hui Meng

Information Sciences

DOI

2025

Domain Adaptation via Learning Using Statistical Invariant

Chun‐Na Li, Yiwei Song, Yuan‐Hai Shao

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Distribution Metric Based $V$-Matrix Support Vector Machine

Yiwei Song, Yuan‐Hai Shao, Chun‐Na Li

IEEE Signal Processing Letters

DOI

2025

SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant

Chun-Na Li, Yiwei Song, Yuanhai Shao

arXiv.org

DOI

2024

Large-scale robust regression with truncated loss via majorization-minimization algorithm

Ling-Wei Huang, Yuan‐Hai Shao, Xiao-Jing Lv, Chun‐Na Li

European Journal of Operational Research

DOI

2024

Feature selection by Universum embedding

Chun‐Na Li, Lingwei Huang, Yuan‐Hai Shao, Tingting Guo, Yu Mao

Pattern Recognition

DOI

2024

A novel regularization method for decorrelation learning of non-parallel hyperplanes

Wen-Zhe Shao, Yuan‐Hai Shao, Chun‐Na Li

Information Sciences

DOI

2024

Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting

Chun‐Na Li, Yi Li, Yuan‐Hai Shao

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Learning using granularity statistical invariants for classification

Ting-Ting Zhu, Chun‐Na Li, Tian Liu, Yuan‐Hai Shao

Applied Intelligence

DOI

2023

Feature selection SVM through Universum and its applications on text classification Feature selection SVM through Universum

Junshan Yin, Chun‐Na Li

International Conference on Signal Processing, Computer Networks and Communications (SPCNC)

DOI

2023

DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data

Faxing Yu, Chun‐Na Li, Yuan‐Hai Shao

Engineering Applications of Artificial Intelligence

DOI

2023

Recursive universum linear discriminant analysis

Chun‐Na Li, Jiakou Liu, Yan-Hui Meng, Yuan‐Hai Shao

Optimization Letters

DOI

2023

Creating Universum for class imbalance via locality and its application in multiview subspace learning

Xiangfei Yang, Donglin Wang, Jia-Hang Pan, Chun‐Na Li, Yuan‐Hai Shao

Information Sciences

DOI

2023

A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance

Ju Liu, Lingwei Huang, Yuan‐Hai Shao, Weijie Chen, Chun‐Na Li

Journal of Computational and Applied Mathematics

DOI

2023

A multistage deep imputation framework for missing values large segment imputation with statistical metrics

Jinsheng Yang, Yuan‐Hai Shao, Chun‐Na Li, Wensi Wang

Applied Soft Computing

DOI

2023

Union nonparallel support vector machines framework with consistency

Chun‐Na Li, Yuan‐Hai Shao, Huajun Wang, Ling-Wei Huang, Yuting Zhao, Naihua Xiu, Nai-Yang Deng

Applied Soft Computing

DOI

2023

Capped norm linear discriminant analysis and its applications

Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Chun‐Na Li, Yuan‐Hai Shao

Applied Intelligence

DOI

2023

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

Chun‐Na Li, Yi Li, Yan-Hui Meng, Pei-Wei Ren, Yuan‐Hai Shao

IEEE Access

DOI

2023

CNTS: Cooperative Network for Time Series

Jinsheng Yang, Yuan‐Hai Shao, Chun‐Na Li

IEEE Access

DOI

2022

Locally finite distance clustering with discriminative information

Yifan Qi, Yuan‐Hai Shao, Chun‐Na Li, Yanru Guo

Information Sciences

DOI

2022

Capped L 1 -Norm Proximal Support Vector Machine

Pei-Wei Ren, Chun‐Na Li, Yuan‐Hai Shao

Mathematical Problems in Engineering

DOI

2022

Regularized linear discriminant analysis based on generalized capped $$l_{2,q}$$-norm

Chun‐Na Li, Pei-Wei Ren, Yanru Guo, Ya-Fen Ye, Yuan‐Hai Shao

Annals of Operations Research

DOI

2022

F $F$‐norm two‐dimensional linear discriminant analysis and its application on face recognition

Chun‐Na Li, Yifan Qi, Da Xu Zhao, Tingting Guo, Lan Bai

International Journal of Intelligent Systems

DOI

2022

Robust multi-view discriminant analysis with view-consistency

Xiangfei Yang, Chun‐Na Li, Yuan‐Hai Shao

Information Sciences

DOI

2022

Local density peaks clustering with small size distance matrix

Meng-Xian Zhu, Xiao-Jing Lv, Wei-Jie Chen, Chun‐Na Li, Yuan‐Hai Shao

Procedia Computer Science

DOI

2022

Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics

Jinsheng Yang, Yuanhai Shao, Chun-Na Li, Wen-Si Wang

Social Science Research Network

DOI

2021

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications

Yanru Guo, Yanqin Bai, Chun‐Na Li, Lan Bai, Yuan‐Hai Shao

Applied Intelligence

DOI

2021

A sparse approach for high-dimensional data with heavy-tailed noise

Yafen Ye, Yuan‐Hai Shao, Chun‐Na Li

Economic Research-Ekonomska Istraživanja

DOI

2021

Indicator Selection of Index Construction by Adaptive Lasso with a Generic $$\varepsilon $$-Insensitive Loss

Yafen Ye, Renyong Chi, Yuan‐Hai Shao, Chun‐Na Li, Xiangyu Hua

Computational Economics

DOI

2021

Robust two-dimensional capped l 2 , 1 -norm linear discriminant analysis with regularization and its applications on image recognition

Chun‐Na Li, Yifan Qi, Yuan‐Hai Shao, Yanru Guo, Ya-Fen Ye

Engineering Applications of Artificial Intelligence

DOI

2021

Online support vector quantile regression for the dynamic time series with heavy-tailed noise

Yafen Ye, Yuan‐Hai Shao, Chun‐Na Li, Xiangyu Hua, Yanru Guo

Applied Soft Computing

DOI

2021

Generalized two-dimensional linear discriminant analysis with regularization

Chun‐Na Li, Yuan‐Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng

Neural Networks

DOI

2020

Feature selection for high‐dimensional regression via sparse LSSVR based on Lp‐norm

Chun‐Na Li, Yuan‐Hai Shao, Da Xu Zhao, Yanru Guo, Xiangyu Hua

International Journal of Intelligent Systems

DOI

2020

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification

Yanru Guo, Yanqin Bai, Chun‐Na Li, Yuan‐Hai Shao, Ya-Fen Ye, Cheng-zi Jiang

Engineering Applications of Artificial Intelligence

DOI

2020

Smooth pinball loss nonparallel support vector machine for robust classification

Ming-Zeng Liu, Yuan‐Hai Shao, Chun‐Na Li, Wei-Jie Chen

Applied Soft Computing

DOI

2020

General Plane-Based Clustering With Distribution Loss

Zhen Wang, Yuan‐Hai Shao, Lan Bai, Chun‐Na Li, Liming Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm

Wei-Jie Chen, Yuan‐Hai Shao, Chun‐Na Li, Yu-Qing Wang, Ming-Zeng Liu, Zhen Wang

Applied Soft Computing

DOI

2020

Robust support vector regression with generic quadratic nonconvex ε-insensitive loss

Yafen Ye, Junbin Gao, Yuan‐Hai Shao, Chun‐Na Li, Jin Yan, Xiangyu Hua

Applied Mathematical Modelling

DOI

2019

Generalized elastic net Lp-norm nonparallel support vector machine

Chun‐Na Li, Pei-Wei Ren, Yuan‐Hai Shao, Ya-Fen Ye, Yanru Guo

Engineering Applications of Artificial Intelligence

DOI

2019

Robust k -subspace discriminant clustering

Chun‐Na Li, Yuan‐Hai Shao, Yanru Guo, Zhen Wang, Zhimin Yang

Applied Soft Computing

DOI

2019

ν-projection twin support vector machine for pattern classification

Wei-Jie Chen, Yuan‐Hai Shao, Chun‐Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng

Neurocomputing

DOI

2019

Joint sample and feature selection via sparse primal and dual LSSVM

Yuan‐Hai Shao, Chun‐Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu

Knowledge-Based Systems

DOI

2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm

Chun‐Na Li, Yuan‐Hai Shao, Zhen Wang, Nai-Yang Deng, Zhimin Yang

Knowledge-Based Systems

DOI

2019

Robust bilateral Lp-norm two-dimensional linear discriminant analysis

Chun‐Na Li, Yuan‐Hai Shao, Zhen Wang, Nai-Yang Deng

Information Sciences

DOI

2019

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

Chun‐Na Li, Yuan‐Hai Shao, Wotao Yin, Ming-Zeng Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

从支持向量机到非平行支持向量机

邵元海，杨凯丽，刘明增，王震，李春娜，陈伟杰

《运筹学学报(中英文)》

2018

Reversible Discriminant Analysis

Lan Bai, Zhen Wang, Yuan-Hai Shao, Chunna Li

IEEE Access

DOI

2018

Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization

Xiao-Quan Sun, Yi-jian Chen, Yuan-Hai Shao, Chunna Li, Changzhi Wang

IEEE Access

DOI

2017

鲁棒的稀疏Lp-模主成分分析

李春娜，陈伟杰，邵元海

《自动化学报》

DOI

2016

基于流形正则化的半监督投影双子支持向量机

陈伟杰，邵元海，李春娜，邓乃扬

《模式识别与人工智能》

精选作品

期刊论文

$$L_1$$-norm nonparallel hyperplane support vector quantile regression

Convex combination Universum support vector machine with multiple Universum

Multi-view Learning Via Using Statistical Invariant

$\ell_{0}$-Norm Penalty Embedded Feature Selection in Universum Learning

Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis With Feature Selection

Group feature selection using non-class data

MIEL: Enhancing Long- and Ultra-Long-Term Time-Series Forecasting With Multiscale Input and Ensemble Linear Networks

Learning using statistical invariants with privileged information

Domain Adaptation via Learning Using Statistical Invariant

Distribution Metric Based $V$-Matrix Support Vector Machine

SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant

Large-scale robust regression with truncated loss via majorization-minimization algorithm

Feature selection by Universum embedding

A novel regularization method for decorrelation learning of non-parallel hyperplanes

Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting

Learning using granularity statistical invariants for classification

Feature selection SVM through Universum and its applications on text classification Feature selection SVM through Universum

DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data

Recursive universum linear discriminant analysis

Creating Universum for class imbalance via locality and its application in multiview subspace learning

A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance

A multistage deep imputation framework for missing values large segment imputation with statistical metrics

Union nonparallel support vector machines framework with consistency

Capped norm linear discriminant analysis and its applications

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

CNTS: Cooperative Network for Time Series

Locally finite distance clustering with discriminative information

Capped L 1 -Norm Proximal Support Vector Machine

Regularized linear discriminant analysis based on generalized capped $$l_{2,q}$$-norm

F $F$‐norm two‐dimensional linear discriminant analysis and its application on face recognition

Robust multi-view discriminant analysis with view-consistency

Local density peaks clustering with small size distance matrix

Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications

A sparse approach for high-dimensional data with heavy-tailed noise

Indicator Selection of Index Construction by Adaptive Lasso with a Generic $$\varepsilon $$-Insensitive Loss

Robust two-dimensional capped l 2 , 1 -norm linear discriminant analysis with regularization and its applications on image recognition

Online support vector quantile regression for the dynamic time series with heavy-tailed noise

Generalized two-dimensional linear discriminant analysis with regularization

Feature selection for high‐dimensional regression via sparse LSSVR based on Lp‐norm

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification

Smooth pinball loss nonparallel support vector machine for robust classification

General Plane-Based Clustering With Distribution Loss

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm

Robust support vector regression with generic quadratic nonconvex ε-insensitive loss

Generalized elastic net Lp-norm nonparallel support vector machine

Robust k -subspace discriminant clustering

ν-projection twin support vector machine for pattern classification

Joint sample and feature selection via sparse primal and dual LSSVM

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm

Robust bilateral Lp-norm two-dimensional linear discriminant analysis

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

从支持向量机到非平行支持向量机

Reversible Discriminant Analysis

Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization

鲁棒的稀疏Lp-模主成分分析

基于流形正则化的半监督投影双子支持向量机

会议论文

降阶-深度学习融合的强非线性流场高精度建模方法

预印本

Transfer Learning Using Imbalanced Statistical Invariants for Imbalanced Classification

One-Class SVM with 0-1 Loss

Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss

Single and Union Non-Parallel Support Vector Machine Frameworks

研究方向