Lin Sun

Orcid: 0000-0003-4917-7651

Affiliations:
  • Henan Normal University, College of Computer and Information Engineering, Xinxiang, China


According to our database1, Lin Sun authored at least 65 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning.
Int. J. Mach. Learn. Cybern., February, 2024

Sparse feature selection via local feature and high-order label correlation.
Appl. Intell., January, 2024

2023
Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data.
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.
Appl. Soft Comput., November, 2023

TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data.
Inf. Fusion, July, 2023

AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization.
Appl. Soft Comput., May, 2023

TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm.
Int. J. Mach. Learn. Cybern., February, 2023

Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine.
IEEE Trans. Fuzzy Syst., 2023

BSSFS: binary sparrow search algorithm for feature selection.
Int. J. Mach. Learn. Cybern., 2023

Feature selection using binary monarch butterfly optimization.
Appl. Intell., 2023

2022
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.
IEEE Trans. Fuzzy Syst., 2022

TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification.
Knowl. Based Syst., 2022

Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors.
Inf. Sci., 2022

AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.
Inf. Sci., 2022

Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy.
Neurocomputing, 2022

Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels.
Int. J. Intell. Syst., 2022

Mixed measure-based feature selection using the Fisher score and neighborhood rough sets.
Appl. Intell., 2022

2021
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.
IEEE Trans. Fuzzy Syst., 2021

Density peaks clustering based on k-nearest neighbors and self-recommendation.
Int. J. Mach. Learn. Cybern., 2021

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.
Inf. Sci., 2021

Fuzzy rough discrimination and label weighting for multi-label feature selection.
Neurocomputing, 2021

2020
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.
Knowl. Based Syst., 2020

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.
Inf. Sci., 2020

Three-way decision models based on multigranulation support intuitionistic fuzzy rough sets.
Int. J. Approx. Reason., 2020

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications.
Entropy, 2020

Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model.
IEEE Access, 2020

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification.
IEEE Access, 2020

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets.
IEEE Access, 2020

2019
Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting.
Symmetry, 2019

Commutative fragile zero-watermarking and encryption for image integrity protection.
Multim. Tools Appl., 2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems.
Knowl. Based Syst., 2019

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data.
J. Intell. Fuzzy Syst., 2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification.
Inf. Sci., 2019

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction.
Entropy, 2019

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.
Entropy, 2019

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.
Entropy, 2019

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation.
Complex., 2019

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification.
Appl. Intell., 2019

Intracranial Vascular Structure Extraction: A Machine Learning Approach.
IEEE Access, 2019

Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems.
IEEE Access, 2019

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant.
IEEE Access, 2019

Multiple Parameters Determination for Image and Video Reconstruction Using Genetic Algorithm and Generalized Stein's Unbiased Risk Estimation.
IEEE Access, 2019

2018
A VQ-Based Joint Fingerprinting and Decryption Scheme for Secure and Efficient Image Distribution.
Secur. Commun. Networks, 2018

A robust image watermarking scheme using Arnold transform and BP neural network.
Neural Comput. Appl., 2018

Feature genes selection using Fisher transformation method.
J. Intell. Fuzzy Syst., 2018

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE.
IEEE Access, 2018

An Algorithm for Describing the Convex and Concave Shape of Protein Surface.
Proceedings of the Data Science, 2018

2017
Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.
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).
计算机科学, 2015

Decisions Tree Learning Method Based on Three-Way Decisions.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
Concept Granule-Based Granular Lattice and Application in Knowledge Retrieval.
J. Softw., 2014

A Feature Selection Approach of Inconsistent Decision Systems in Rough Set.
J. Comput., 2014

2013
An Improved Correlation Measure-based SOM Clustering Algorithm for Gene Selection.
J. Softw., 2013

Granular Space-Based Feature Selection and Its Applications.
J. Softw., 2013

A Greedy Correlation Measure Based Attribute Clustering Algorithm for Gene Selection.
J. Comput., 2013

Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval.
J. Comput., 2013

A flexible 3D cerebrovascular extraction from TOF-MRA images.
Neurocomputing, 2013

2012
Feature selection using rough entropy-based uncertainty measures in incomplete decision systems.
Knowl. Based Syst., 2012

Decision Degree-based Decision Tree Technology for Rule Extraction.
J. Comput., 2012

2011
Gene selection algorithm combining ReliefF and relative neighborhood rough set.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010
A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set.
Trans. Rough Sets, 2010

Knowledge Reduction Based on Granular Computing from Decision Information Systems.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009
Research of Knowledge Reduction Based on New Conditional Entropy.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

2008
New Reduction Algorithm Based on Decision Power of Decision Table.
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.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007


  Loading...