Lin Sun

According to our database, Lin Sun authored at least 72 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data.

Lin Sun, Mengmeng Li, Weiping Ding, Jiucheng Xu

Appl. Soft Comput., December, 2024

Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization.

Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu

IEEE Trans. Fuzzy Syst., November, 2024

CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection.

Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang

Appl. Intell., August, 2024

LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning.

Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu

Int. J. Mach. Learn. Cybern., February, 2024

Sparse feature selection via local feature and high-order label correlation.

Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu

Appl. Intell., January, 2024

Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection.

Lin Sun, Qifeng Zhang, Weiping Ding, Jiucheng Xu

Knowl. Based Syst., 2024

LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy.

Lin Sun, Yuxuan Ma, Weiping Ding, Zhihao Lu, Jiucheng Xu

Inf. Sci., 2024

Noise-resistant fuzzy multineighbourhood rough set-based feature selection with label enhancement and its application for multilabel classification.

Lin Sun, Wenjuan Du, Jiucheng Xu, Baofang Chang

Appl. Soft Comput., 2024

Joint Semantic Feature and Optical Flow Learning for Automatic Echocardiography Segmentation.

Juan Lyu, Jinpeng Meng, Yu Zhang, Sai Ho Ling, Lin Sun

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data.

Lin Sun, Shujing Sun, Weiping Ding, Xinyue Huang, Peiyi Fan, Kunyu Li, Leqi Chen

Int. J. Mach. Learn. Cybern., December, 2023

Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data.

Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu

Appl. Soft Comput., November, 2023

TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data.

Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu

Inf. Fusion, July, 2023

AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization.

Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, Yuanyuan Ma

Appl. Soft Comput., May, 2023

TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm.

Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, Huili Meng

Int. J. Mach. Learn. Cybern., February, 2023

Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2023

BSSFS: binary sparrow search algorithm for feature selection.

Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, Yan Zhang

Int. J. Mach. Learn. Cybern., 2023

Feature selection using binary monarch butterfly optimization.

Lin Sun, Shanshan Si, Jing Zhao, Jiucheng Xu, Yaojin Lin, Zhiying Lv

Appl. Intell., 2023

2022

Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2022

TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification.

Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu

Knowl. Based Syst., 2022

Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors.

Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu

Inf. Sci., 2022

AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.

Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu, Jiucheng Xu

Inf. Sci., 2022

Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu

Neurocomputing, 2022

Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Anhui Tan

Int. J. Intell. Syst., 2022

Mixed measure-based feature selection using the Fisher score and neighborhood rough sets.

Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu

Appl. Intell., 2022

2021

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2021

Density peaks clustering based on k-nearest neighbors and self-recommendation.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang

Int. J. Mach. Learn. Cybern., 2021

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin

Inf. Sci., 2021

Fuzzy rough discrimination and label weighting for multi-label feature selection.

Anhui Tan, Jiye Liang, Wei-Zhi Wu, Jia Zhang, Lin Sun, Chao Chen

Neurocomputing, 2021

2020

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

Knowl. Based Syst., 2020

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

Inf. Sci., 2020

Three-way decision models based on multigranulation support intuitionistic fuzzy rough sets.

Zhanao Xue, Liping Zhao, Lin Sun, Min Zhang, Tianyu Xue

Int. J. Approx. Reason., 2020

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications.

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Baofang Chang

Entropy, 2020

Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model.

Shiguang Zhang, Chao Liu, Ting Zhou, Lin Sun

IEEE Access, 2020

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification.

Enhui Shi, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2020

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets.

Miaomiao Huang, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2020

2019

Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting.

Shiguang Zhang, Ting Zhou, Lin Sun, Chao Liu

Symmetry, 2019

Commutative fragile zero-watermarking and encryption for image integrity protection.

Ming Li, Di Xiao, Ye Zhu, Yushu Zhang, Lin Sun

Multim. Tools Appl., 2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.

Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang

Knowl. Based Syst., 2019

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data.

Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang

J. Intell. Fuzzy Syst., 2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang

Inf. Sci., 2019

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction.

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Chuan Wang, Wentao Mao

Entropy, 2019

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.

Lin Sun, Xiaoyu Zhang, Jiucheng Xu, Shiguang Zhang

Entropy, 2019

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.

Lin Sun, Lanying Wang, Jiucheng Xu, Shiguang Zhang

Entropy, 2019

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation.

Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian

Complex., 2019

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang, Yun Tian

Appl. Intell., 2019

Intracranial Vascular Structure Extraction: A Machine Learning Approach.

Shifeng Zhao, Yun Tian, Xuesong Wang, Lizhi Xie, Lin Sun

IEEE Access, 2019

Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems.

Lin Sun, Tengyu Yin, Weiping Ding, Jiucheng Xu

IEEE Access, 2019

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2019

Multiple Parameters Determination for Image and Video Reconstruction Using Genetic Algorithm and Generalized Stein's Unbiased Risk Estimation.

Zhi Dou, Lin Sun, Weiping Ding

IEEE Access, 2019

2018

A VQ-Based Joint Fingerprinting and Decryption Scheme for Secure and Efficient Image Distribution.

Ming Li, Hua Ren, En Zhang, Wei Wang, Lin Sun, Di Xiao

Secur. Commun. Networks, 2018

A robust image watermarking scheme using Arnold transform and BP neural network.

Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang'an Shen

Neural Comput. Appl., 2018

Feature genes selection using Fisher transformation method.

Huiyu Mu, Jiucheng Xu, Yun Wang, Lin Sun

J. Intell. Fuzzy Syst., 2018

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian

IEEE Access, 2018

An Algorithm for Describing the Convex and Concave Shape of Protein Surface.

Wei Wang, Keliang Li, Hehe Lv, Lin Sun, Hongjun Zhang, Jinling Shi, Shiguang Zhang, Yun Zhou, Yuan Zhao, Jingjing Xv

Proceedings of the Data Science, 2018

2017

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.

Wei Wang, Lin Sun, Shiguang Zhang, Hongjun Zhang, Jinling Shi, Tianhe Xu, Keliang Li

BMC Bioinform., 2017

2015

基于三支决策的支持向量机增量学习方法 (Three-way Decisions-based Incremental Learning Method for Support Vector Machine).

Jiucheng Xu, Yangyang Liu, Lina Du, Lin Sun

计算机科学, 2015

Decisions Tree Learning Method Based on Three-Way Decisions.

Yangyang Liu, Jiucheng Xu, Lin Sun, Lina Du

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

Concept Granule-Based Granular Lattice and Application in Knowledge Retrieval.

Lin Sun, Jiucheng Xu, Yangyang Liu

J. Softw., 2014

A Feature Selection Approach of Inconsistent Decision Systems in Rough Set.

Lin Sun, Jiucheng Xu, Yuhui Li

J. Comput., 2014

2013

An Improved Correlation Measure-based SOM Clustering Algorithm for Gene Selection.

Jiucheng Xu, Tianhe Xu, Lin Sun, Jinyu Ren

J. Softw., 2013

Granular Space-Based Feature Selection and Its Applications.

Lin Sun, Jiucheng Xu, Yuwen Hu, Lina Du

J. Softw., 2013

A Greedy Correlation Measure Based Attribute Clustering Algorithm for Gene Selection.

Jiucheng Xu, Yun-peng Gao, Shuangqun Li, Lin Sun, Tianhe Xu, Jinyu Ren

J. Comput., 2013

Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval.

Lin Sun, Ning Zhong, Jiucheng Xu

J. Comput., 2013

A flexible 3D cerebrovascular extraction from TOF-MRA images.

Yun Tian, Fuqing Duan, Ke Lu, Mingquan Zhou, Zhongke Wu, Qingjun Wang, Lin Sun, Lizhi Xie

Neurocomputing, 2013

2012

Feature selection using rough entropy-based uncertainty measures in incomplete decision systems.

Lin Sun, Jiucheng Xu, Yun Tian

Knowl. Based Syst., 2012

Decision Degree-based Decision Tree Technology for Rule Extraction.

Lin Sun, Jiucheng Xu, Zhanao Xue, Jinyu Ren

J. Comput., 2012

2011

Gene selection algorithm combining ReliefF and relative neighborhood rough set.

Jiucheng Xu, Ling-jun Zhang, Lin Sun, Yun-peng Gao

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010

A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set.

Jiucheng Xu, Lin Sun

Trans. Rough Sets, 2010

Knowledge Reduction Based on Granular Computing from Decision Information Systems.

Lin Sun, Jiucheng Xu, Shuangqun Li

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009

Research of Knowledge Reduction Based on New Conditional Entropy.

Jiucheng Xu, Lin Sun

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

2008

New Reduction Algorithm Based on Decision Power of Decision Table.

Jiucheng Xu, Lin Sun

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

2007

Knowledge Reduction and its Rough Entropy Representation of Decision Tables in Rough Set.

Jiucheng Xu, Lin Sun

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007