Xibei Yang

According to our database1, Xibei Yang authored at least 178 papers between 2005 and 2024.

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Bibliography

2024
GraphSAGE with deep reinforcement learning for financial portfolio optimization.
Expert Syst. Appl., March, 2024

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data.
Expert Syst. Appl., February, 2024

Three-way clustering: Foundations, survey and challenges.
Appl. Soft Comput., January, 2024

2023
A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation.
Appl. Intell., December, 2023

Ensemble selector mixed with pareto optimality to feature reduction.
Appl. Soft Comput., November, 2023

PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity.
Appl. Intell., November, 2023

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy.
IEEE Trans. Fuzzy Syst., October, 2023

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.
Appl. Soft Comput., October, 2023

Gift: granularity over specific-class for feature selection.
Artif. Intell. Rev., October, 2023

Bi-directional adaptive neighborhood rough sets based attribute subset selection.
Int. J. Approx. Reason., September, 2023

Multi-label learning with Relief-based label-specific feature selection.
Appl. Intell., August, 2023

A Q-learning approach to attribute reduction.
Appl. Intell., February, 2023

Prediction of Multiple Types of RNA Modifications via Biological Language Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously.
Neural Process. Lett., 2023

RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning.
J. King Saud Univ. Comput. Inf. Sci., 2023

A constraint score guided meta-heuristic searching to attribute reduction.
J. Intell. Fuzzy Syst., 2023

Glee: A granularity filter for feature selection.
Eng. Appl. Artif. Intell., 2023

YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces.
IEEE Access, 2023

An Acceleration Method for Attribute Reduction Based on Attribute Synthesis.
Proceedings of the Rough Sets - International Joint Conference, 2023

2022
An Ensemble Framework to Forest Optimization Based Reduct Searching.
Symmetry, 2022

Unsupervised attribute reduction: improving effectiveness and efficiency.
Int. J. Mach. Learn. Cybern., 2022

Bee: towards a robust attribute reduction.
Int. J. Mach. Learn. Cybern., 2022

Triple-G: a new MGRS and attribute reduction.
Int. J. Mach. Learn. Cybern., 2022

Instance weighted SMOTE by indirectly exploring the data distribution.
Knowl. Based Syst., 2022

Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning.
J. Chem. Inf. Model., 2022

SMOTE-R<i>k</i>NN: A hybrid re-sampling method based on SMOTE and reverse <i>k-</i>nearest neighbors.
Inf. Sci., 2022

Granular cabin: An efficient solution to neighborhood learning in big data.
Inf. Sci., 2022

Attribute reduction with personalized information granularity of nearest mutual neighbors.
Inf. Sci., 2022

Fusing attribute reduction accelerators.
Inf. Sci., 2022

Hierarchical sequential three-way decision model.
Int. J. Approx. Reason., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.
Int. J. Approx. Reason., 2022

Ensemble learning using three-way density-sensitive spectral clustering.
Int. J. Approx. Reason., 2022

Random sampling accelerator for attribute reduction.
Int. J. Approx. Reason., 2022

ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation.
Biomed. Signal Process. Control., 2022

Neighborhood rough set based ensemble feature selection with cross-class sample granulation.
Appl. Soft Comput., 2022

DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam.
IEEE Access, 2022

ROSES: A Novel Semi-supervised Feature Selector.
Proceedings of the Intelligent Information Processing XI, 2022

2021
An Exploration of Online Missing Value Imputation in Non-stationary Data Stream.
SN Comput. Sci., 2021

Attribution reduction based on sequential three-way search of granularity.
Int. J. Mach. Learn. Cybern., 2021

Granular ball guided selector for attribute reduction.
Knowl. Based Syst., 2021

An improved D-S evidence theory based neighborhood rough classification approach.
J. Intell. Fuzzy Syst., 2021

Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations.
Inf. Sci., 2021

Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism.
Inf., 2021

Online sequential extreme learning machine with the increased classes.
Comput. Electr. Eng., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.
Appl. Soft Comput., 2021

Accelerator for crosswise computing reduct.
Appl. Soft Comput., 2021

Data-guided multi-granularity selector for attribute reduction.
Appl. Intell., 2021

Three-Way Clustering Method Based on Stability Theory.
IEEE Access, 2021

2020
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data.
Neural Process. Lett., 2020

Supervised information granulation strategy for attribute reduction.
Int. J. Mach. Learn. Cybern., 2020

Quickly calculating reduct: An attribute relationship based approach.
Knowl. Based Syst., 2020

Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach.
J. Intell. Fuzzy Syst., 2020

Attribute group for attribute reduction.
Inf. Sci., 2020

Boosting label weighted extreme learning machine for classifying multi-label imbalanced data.
Neurocomputing, 2020

Label distribution learning: A local collaborative mechanism.
Int. J. Approx. Reason., 2020

Accelerator for supervised neighborhood based attribute reduction.
Int. J. Approx. Reason., 2020

A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER.
IEEE Access, 2020

Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces.
Proceedings of the Fuzzy Systems and Data Mining VI, 2020

2019
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine.
IEEE Trans. Neural Networks Learn. Syst., 2019

Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data.
IEEE Trans. Fuzzy Syst., 2019

Fuzzy One-Class Extreme Auto-encoder.
Neural Process. Lett., 2019

Three-way k-means: integrating k-means and three-way decision.
Int. J. Mach. Learn. Cybern., 2019

Order based hierarchies on hesitant fuzzy approximation space.
Int. J. Mach. Learn. Cybern., 2019

State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble.
Int. J. Mach. Learn. Cybern., 2019

Neighborhood attribute reduction: a multi-criterion approach.
Int. J. Mach. Learn. Cybern., 2019

Colour face recognition using fuzzy quaternion-based discriminant analysis.
Int. J. Mach. Learn. Cybern., 2019

Rough set based semi-supervised feature selection via ensemble selector.
Knowl. Based Syst., 2019

Sequential three-way classifier with justifiable granularity.
Knowl. Based Syst., 2019

Accelerator for multi-granularity attribute reduction.
Knowl. Based Syst., 2019

面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction).
计算机科学, 2019

An efficient selector for multi-granularity attribute reduction.
Inf. Sci., 2019

Pseudo-label neighborhood rough set: Measures and attribute reductions.
Int. J. Approx. Reason., 2019

Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation.
IET Image Process., 2019

Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View.
Complex., 2019

Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data.
IEEE Access, 2019

Neighborhood Classifier for Label Noise.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018
监督邻域粗糙集 (Supervised Neighborhood Rough Set).
计算机科学, 2018

基于动态邻域的三支聚类分析 (Three-way Clustering Analysis Based on Dynamic Neighborhood).
计算机科学, 2018

Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection.
Inf., 2018

Ensemble selector for attribute reduction.
Appl. Soft Comput., 2018

LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data.
IEEE Access, 2018

Multi-granularity Attribute Reduction.
Proceedings of the Rough Sets - International Joint Conference, 2018

Distance Based On Neighborhood Classifier and Attribute Reduction.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Sparse representation-based classification using generalized weighted extended dictionary.
Soft Comput., 2017

Parity symmetrical collaborative representation-based classification for face recognition.
Int. J. Mach. Learn. Cybern., 2017

Minimal decision cost reduct in fuzzy decision-theoretic rough set model.
Knowl. Based Syst., 2017

Cost-sensitive rough set: A multi-granulation approach.
Knowl. Based Syst., 2017

基于多代价的决策粗糙集属性约简 (Attribute Reduction Based on Multicost Decision-theoretic Rough Set).
计算机科学, 2017

一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method).
计算机科学, 2017

基于Local约简的序贯三支分类器 (Sequential Three-way Classifier with Local Reduction).
计算机科学, 2017

Multigranulation rough set: A multiset based strategy.
Int. J. Comput. Intell. Syst., 2017

Attribute Reduction: An Ensemble Strategy.
Proceedings of the Rough Sets - International Joint Conference, 2017

C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

2016
Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples.
Soft Comput., 2016

ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data.
Knowl. Based Syst., 2016

Multi-label learning with label-specific feature reduction.
Knowl. Based Syst., 2016

A comparative study of multigranulation rough sets and concept lattices via rule acquisition.
Knowl. Based Syst., 2016

Decision-theoretic rough set: A multicost strategy.
Knowl. Based Syst., 2016

基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection).
计算机科学, 2016

Cost-sensitive rough set approach.
Inf. Sci., 2016

Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images.
Neurocomputing, 2016

Neighborhood collaborative classifiers.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Minimum decision cost reduct for fuzzy decision-theoretic rough set model.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data.
Knowl. Based Syst., 2015

量化粗糙集的单调性属性约简方法 (Approach to Monotonicity Attribute Reduction in Quantitative Rough Set).
计算机科学, 2015

Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition.
J. Electronic Imaging, 2015

α-Dominance relation and rough sets in interval-valued information systems.
Inf. Sci., 2015

AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine.
Neurocomputing, 2015

Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery.
Appl. Soft Comput., 2015

A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Imbalanced Extreme Learning Machine Based on Probability Density Estimation.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

Prediction of protein structural classes by decreasing nearest neighbor error rate.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Parity symmetrical SRC algorithm for face recognition.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014
Variable Precision Multigranulation Rough Set and Attributes Reduction.
Trans. Rough Sets, 2014

Constructive and axiomatic approaches to hesitant fuzzy rough set.
Soft Comput., 2014

A new sparse representation-based classification algorithm using iterative class elimination.
Neural Comput. Appl., 2014

Dynamic updating multigranulation fuzzy rough set: approximations and reducts.
Int. J. Mach. Learn. Cybern., 2014

Updating multigranulation rough approximations with increasing of granular structures.
Knowl. Based Syst., 2014

Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach.
J. Intell. Fuzzy Syst., 2014

A parameterized fuzzy adaptive K-SVD approach for the multi-classes study of pursuit algorithms.
Neurocomputing, 2014

Tolerance-based multigranulation rough sets in incomplete systems.
Frontiers Comput. Sci., 2014

Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble.
BMC Bioinform., 2014

Characterizing Hierarchies on Covering-Based Multigranulation Spaces.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

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Proceedings of the Rough Sets and Current Trends in Computing, 2014

A Dynamic Generation Approach for Ensemble of Extreme Learning Machines.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

2013
Test cost sensitive multigranulation rough set: Model and minimal cost selection.
Inf. Sci., 2013

Hierarchy on multigranulation structures: a knowledge distance approach.
Int. J. Gen. Syst., 2013

On Characterizing Hierarchies of Granulation Structures via Distances.
Fundam. Informaticae, 2013

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis.
Comput. Math. Appl., 2013

Multi-covering Based Rough Set Model.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

2012
On multigranulation rough sets in incomplete information system.
Int. J. Mach. Learn. Cybern., 2012

Intuitionistic Fuzzy Dominance-based Rough Set Approach: Model and Attribute Reductions.
J. Softw., 2012

Hierarchical Structures on Multigranulation Spaces.
J. Comput. Sci. Technol., 2012

Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system.
Inf. Sci., 2012

Neighborhood System Based Rough Set: Models and Attribute Reductions.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Local and Global Measurements of MGRS Rules.
Int. J. Comput. Intell. Syst., 2012

Rough Set Model Based on Hybrid Tolerance Relation.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Hybrid: A New Multigranulation Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

The Models of Variable Precision Multigranulation Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Study on characteristic consistent blocks based rough set approach to incomplete system.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Incomplete multigranulation decision rules acquisition.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Valued Dominance-Based Rough Set Approach to Incomplete Information System.
Trans. Comput. Sci., 2011

An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition.
Soft Comput., 2011

Statistical thresholding method for infrared images.
Pattern Anal. Appl., 2011

Neighborhood systems-based rough sets in incomplete information system.
Knowl. Based Syst., 2011

Generalisation of rough set for rule induction in incomplete system.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011

Dominance-based fuzzy rough approach to an interval-valued decision system.
Frontiers Comput. Sci. China, 2011

A note on the paper "Combination of interval-valued fuzzy set and soft set" [Comput. Math. Appl. 58(2009) 521-527].
Comput. Math. Appl., 2011

An Intuitionistic Fuzzy Dominance-Based Rough Set.
Proceedings of the Bio-Inspired Computing and Applications, 2011

A Variable Muitlgranulation Rough Sets Approach.
Proceedings of the Bio-Inspired Computing and Applications, 2011

The Models of Dominance-Based Multigranulation Rough Sets.
Proceedings of the Bio-Inspired Computing and Applications, 2011

Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Limited Dominance-based Rough Set Model and Knowledge Reductions in Incomplete Decision System.
J. Inf. Sci. Eng., 2010

Discriminant analysis approach using fuzzy fourfold subspaces model.
Neurocomputing, 2010

A complete fuzzy discriminant analysis approach for face recognition.
Appl. Soft Comput., 2010

Knowledge Operations in Neighborhood System.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Credible rules in incomplete decision system based on descriptors.
Knowl. Based Syst., 2009

Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

DRSA and reductions in incomplete fuzzy information system.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009

Dominance-based rough set approach to incomplete interval-valued information system.
Data Knowl. Eng., 2009

Combination of interval-valued fuzzy set and soft set.
Comput. Math. Appl., 2009

A new rough set model for knowledge acquisition in incomplete information system.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

First GrC model - Neighborhood Systems the most general rough set models.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system.
Inf. Sci., 2008

Extensions of dominance-based rough set approach in incomplete information system.
Autom. Control. Comput. Sci., 2008

Dominance-based Rough Set Approach to Incomplete Fuzzy Information System.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Interception Strategy in Multi-Agent Systems based on Rough Sets.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Generalization of Soft Set Theory: From Crisp to Fuzzy Case.
Proceedings of the Fuzzy Information and Engineering, 2007

2006
Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations.
Proceedings of the IEEE International Conference on Systems, 2006

Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

2005
Information granules in general and complete coverings.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005


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