Xibei Yang

Orcid: 0000-0001-9708-1027

According to our database¹, Xibei Yang authored at least 195 papers between 2005 and 2025.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2025

Collaborative graph neural networks for augmented graphs: A local-to-global perspective.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Incomplete label distribution learning via label correlation decomposition.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

D3WC: Deep three-way clustering with granular evidence fusion.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

2024

Sequential attention layer-wise fusion network for multi-view classification.

[BibT_eX]

[DOI]

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

Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy.

[BibT_eX]

[DOI]

Appl. Intell., September, 2024

Multi-head multi-order graph attention networks.

[BibT_eX]

[DOI]

Appl. Intell., September, 2024

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., August, 2024

SSGCN: a sampling sequential guided graph convolutional network.

[BibT_eX]

[DOI]

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

GraphSAGE with deep reinforcement learning for financial portfolio optimization.

[BibT_eX]

[DOI]

Qiguo Sun

Xueying Wei

Xibei Yang

Expert Syst. Appl., March, 2024

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data.

[BibT_eX]

[DOI]

Expert Syst. Appl., February, 2024

Three-way clustering: Foundations, survey and challenges.

[BibT_eX]

[DOI]

Appl. Soft Comput., January, 2024

E3WD: A three-way decision model based on ensemble learning.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Multi-association evidential feature selection and its application to identifying schizophrenia.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Purity Skeleton Dynamic Hypergraph Neural Network.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

A partition-based problem transformation algorithm for classifying imbalanced multi-label data.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity.

[BibT_eX]

[DOI]

CoRR, 2024

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

2023

A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation.

[BibT_eX]

[DOI]

Appl. Intell., December, 2023

Ensemble selector mixed with pareto optimality to feature reduction.

[BibT_eX]

[DOI]

Appl. Soft Comput., November, 2023

PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity.

[BibT_eX]

[DOI]

Appl. Intell., November, 2023

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., October, 2023

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.

[BibT_eX]

[DOI]

Appl. Soft Comput., October, 2023

Gift: granularity over specific-class for feature selection.

[BibT_eX]

[DOI]

Artif. Intell. Rev., October, 2023

Bi-directional adaptive neighborhood rough sets based attribute subset selection.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., September, 2023

Multi-label learning with Relief-based label-specific feature selection.

[BibT_eX]

[DOI]

Appl. Intell., August, 2023

A Q-learning approach to attribute reduction.

[BibT_eX]

[DOI]

Appl. Intell., February, 2023

Prediction of Multiple Types of RNA Modifications via Biological Language Model.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously.

[BibT_eX]

[DOI]

Neural Process. Lett., 2023

RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning.

[BibT_eX]

[DOI]

J. King Saud Univ. Comput. Inf. Sci., 2023

A constraint score guided meta-heuristic searching to attribute reduction.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2023

Glee: A granularity filter for feature selection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

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

[BibT_eX]

[DOI]

IEEE Access, 2023

An Acceleration Method for Attribute Reduction Based on Attribute Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2023

2022

An Ensemble Framework to Forest Optimization Based Reduct Searching.

[BibT_eX]

[DOI]

Symmetry, 2022

Unsupervised attribute reduction: improving effectiveness and efficiency.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Bee: towards a robust attribute reduction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Triple-G: a new MGRS and attribute reduction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Instance weighted SMOTE by indirectly exploring the data distribution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Granular cabin: An efficient solution to neighborhood learning in big data.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Attribute reduction with personalized information granularity of nearest mutual neighbors.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Fusing attribute reduction accelerators.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Hierarchical sequential three-way decision model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Ensemble learning using three-way density-sensitive spectral clustering.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Random sampling accelerator for attribute reduction.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

Neighborhood rough set based ensemble feature selection with cross-class sample granulation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

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

[BibT_eX]

[DOI]

IEEE Access, 2022

ROSES: A Novel Semi-supervised Feature Selector.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information Processing XI, 2022

2021

An Exploration of Online Missing Value Imputation in Non-stationary Data Stream.

[BibT_eX]

[DOI]

SN Comput. Sci., 2021

Attribution reduction based on sequential three-way search of granularity.

[BibT_eX]

[DOI]

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

Granular ball guided selector for attribute reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

An improved D-S evidence theory based neighborhood rough classification approach.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations.

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

Inf., 2021

Online sequential extreme learning machine with the increased classes.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Accelerator for crosswise computing reduct.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Data-guided multi-granularity selector for attribute reduction.

[BibT_eX]

[DOI]

Appl. Intell., 2021

Three-Way Clustering Method Based on Stability Theory.

[BibT_eX]

[DOI]

Pingxin Wang

Xibei Yang

IEEE Access, 2021

2020

Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Supervised information granulation strategy for attribute reduction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

Quickly calculating reduct: An attribute relationship based approach.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2020

Attribute group for attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

Label distribution learning: A local collaborative mechanism.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

Accelerator for supervised neighborhood based attribute reduction.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER.

[BibT_eX]

[DOI]

IEEE Access, 2020

Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Systems and Data Mining VI, 2020

2019

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2019

Fuzzy One-Class Extreme Auto-encoder.

[BibT_eX]

[DOI]

Neural Process. Lett., 2019

Three-way k-means: integrating k-means and three-way decision.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Order based hierarchies on hesitant fuzzy approximation space.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Neighborhood attribute reduction: a multi-criterion approach.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Colour face recognition using fuzzy quaternion-based discriminant analysis.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Rough set based semi-supervised feature selection via ensemble selector.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Sequential three-way classifier with justifiable granularity.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Accelerator for multi-granularity attribute reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction).

[BibT_eX]

[DOI]

计算机科学, 2019

An efficient selector for multi-granularity attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Pseudo-label neighborhood rough set: Measures and attribute reductions.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation.

[BibT_eX]

[DOI]

IET Image Process., 2019

Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View.

[BibT_eX]

[DOI]

Complex., 2019

Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data.

[BibT_eX]

[DOI]

IEEE Access, 2019

Neighborhood Classifier for Label Noise.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

监督邻域粗糙集 (Supervised Neighborhood Rough Set).

[BibT_eX]

[DOI]

Linna Wang

Xin Yang

Xibei Yang

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).

[BibT_eX]

[DOI]

计算机科学, 2018

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

[BibT_eX]

[DOI]

Inf., 2018

Ensemble selector for attribute reduction.

[BibT_eX]

[DOI]

Xibei Yang

Yiyu Yao

Appl. Soft Comput., 2018

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

[BibT_eX]

[DOI]

IEEE Access, 2018

Multi-granularity Attribute Reduction.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2018

Distance Based On Neighborhood Classifier and Attribute Reduction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Sparse representation-based classification using generalized weighted extended dictionary.

[BibT_eX]

[DOI]

Soft Comput., 2017

Parity symmetrical collaborative representation-based classification for face recognition.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2017

Minimal decision cost reduct in fuzzy decision-theoretic rough set model.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Cost-sensitive rough set: A multi-granulation approach.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Zhirong Yang

Yu Wang

Xibei Yang

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).

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2017

Multigranulation rough set: A multiset based strategy.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2017

Attribute Reduction: An Ensemble Strategy.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2017

C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy.

[BibT_eX]

[DOI]

Pingxin Wang

Xibei Yang

Yiyu Yao

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2017

2016

Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples.

[BibT_eX]

[DOI]

Soft Comput., 2016

ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Multi-label learning with label-specific feature reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

A comparative study of multigranulation rough sets and concept lattices via rule acquisition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Decision-theoretic rough set: A multicost strategy.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2016

Cost-sensitive rough set approach.

[BibT_eX]

[DOI]

Inf. Sci., 2016

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

[BibT_eX]

[DOI]

Neurocomputing, 2016

Neighborhood collaborative classifiers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Minimum decision cost reduct for fuzzy decision-theoretic rough set model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2015

Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2015

α-Dominance relation and rough sets in interval-valued information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2015

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

[BibT_eX]

[DOI]

Neurocomputing, 2015

Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set.

[BibT_eX]

[DOI]

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

Imbalanced Extreme Learning Machine Based on Probability Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

Prediction of protein structural classes by decreasing nearest neighbor error rate.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Parity symmetrical SRC algorithm for face recognition.

[BibT_eX]

[DOI]

Xiaoning Song

Xibei Yang

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Variable Precision Multigranulation Rough Set and Attributes Reduction.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2014

Constructive and axiomatic approaches to hesitant fuzzy rough set.

[BibT_eX]

[DOI]

Soft Comput., 2014

A new sparse representation-based classification algorithm using iterative class elimination.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

Dynamic updating multigranulation fuzzy rough set: approximations and reducts.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

Updating multigranulation rough approximations with increasing of granular structures.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2014

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

[BibT_eX]

[DOI]

Neurocomputing, 2014

Tolerance-based multigranulation rough sets in incomplete systems.

[BibT_eX]

[DOI]

Zaiyue Zhang

Xibei Yang

Frontiers Comput. Sci., 2014

Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

Characterizing Hierarchies on Covering-Based Multigranulation Spaces.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Want More? Pay More!

[BibT_eX]

[DOI]

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

A Dynamic Generation Approach for Ensemble of Extreme Learning Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

2013

Test cost sensitive multigranulation rough set: Model and minimal cost selection.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Hierarchy on multigranulation structures: a knowledge distance approach.

[BibT_eX]

[DOI]

Int. J. Gen. Syst., 2013

On Characterizing Hierarchies of Granulation Structures via Distances.

[BibT_eX]

[DOI]

Xibei Yang

Yuhua Qian

Jingyu Yang

Fundam. Informaticae, 2013

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2013

Multi-covering Based Rough Set Model.

[BibT_eX]

[DOI]

Lijuan Wang

Xibei Yang

Chen Wu

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

2012

On multigranulation rough sets in incomplete information system.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2012

Intuitionistic Fuzzy Dominance-based Rough Set Approach: Model and Attribute Reductions.

[BibT_eX]

[DOI]

Yanqin Zhang

Xibei Yang

J. Softw., 2012

Hierarchical Structures on Multigranulation Spaces.

[BibT_eX]

[DOI]

Xibei Yang

Yuhua Qian

Jing-Yu Yang

J. Comput. Sci. Technol., 2012

Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system.

[BibT_eX]

[DOI]

Inf. Sci., 2012

Neighborhood System Based Rough Set: Models and Attribute Reductions.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Local and Global Measurements of MGRS Rules.

[BibT_eX]

[DOI]

Xibei Yang

Yanqin Zhang

Jing-Yu Yang

Int. J. Comput. Intell. Syst., 2012

Rough Set Model Based on Hybrid Tolerance Relation.

[BibT_eX]

[DOI]

Junyi Zhou

Xibei Yang

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Hybrid: A New Multigranulation Rough Set Approach.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

The Models of Variable Precision Multigranulation Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Study on characteristic consistent blocks based rough set approach to incomplete system.

[BibT_eX]

[DOI]

Junyi Zhou

Xibei Yang

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Incomplete multigranulation decision rules acquisition.

[BibT_eX]

[DOI]

Lijuan Wang

Xibei Yang

Jingyu Yang

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011

Valued Dominance-Based Rough Set Approach to Incomplete Information System.

[BibT_eX]

[DOI]

Xibei Yang

Huili Dou

Trans. Comput. Sci., 2011

An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition.

[BibT_eX]

[DOI]

Soft Comput., 2011

Statistical thresholding method for infrared images.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2011

Neighborhood systems-based rough sets in incomplete information system.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2011

Generalisation of rough set for rule induction in incomplete system.

[BibT_eX]

[DOI]

Xibei Yang

Xiaoning Song

Xiaohua Hu

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011

Dominance-based fuzzy rough approach to an interval-valued decision system.

[BibT_eX]

[DOI]

Xibei Yang

Ming Zhang

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].

[BibT_eX]

[DOI]

Young Bae Jun

Xibei Yang

Comput. Math. Appl., 2011

An Intuitionistic Fuzzy Dominance-Based Rough Set.

[BibT_eX]

[DOI]

Yanqin Zhang

Xibei Yang

Proceedings of the Bio-Inspired Computing and Applications, 2011

A Variable Muitlgranulation Rough Sets Approach.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Applications, 2011

The Models of Dominance-Based Multigranulation Rough Sets.

[BibT_eX]

[DOI]

Xibei Yang

Proceedings of the Bio-Inspired Computing and Applications, 2011

Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

Limited Dominance-based Rough Set Model and Knowledge Reductions in Incomplete Decision System.

[BibT_eX]

[DOI]

Gongzhi Luo

Xibei Yang

J. Inf. Sci. Eng., 2010

Discriminant analysis approach using fuzzy fourfold subspaces model.

[BibT_eX]

[DOI]

Neurocomputing, 2010

A complete fuzzy discriminant analysis approach for face recognition.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2010

Knowledge Operations in Neighborhood System.

[BibT_eX]

[DOI]

Xibei Yang

Tsau Young Lin

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Credible rules in incomplete decision system based on descriptors.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2009

Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System.

[BibT_eX]

[DOI]

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

DRSA and reductions in incomplete fuzzy information system.

[BibT_eX]

[DOI]

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009

Dominance-based rough set approach to incomplete interval-valued information system.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2009

Combination of interval-valued fuzzy set and soft set.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2009

A new rough set model for knowledge acquisition in incomplete information system.

[BibT_eX]

[DOI]

Xibei Yang

Jing-Yu Yang

Xiaohua Hu

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

First GrC model - Neighborhood Systems the most general rough set models.

[BibT_eX]

[DOI]

Xibei Yang

Xinzhe Li

Tsau Young Lin

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.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Extensions of dominance-based rough set approach in incomplete information system.

[BibT_eX]

[DOI]

Autom. Control. Comput. Sci., 2008

Dominance-based Rough Set Approach to Incomplete Fuzzy Information System.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Interception Strategy in Multi-Agent Systems based on Rough Sets.

[BibT_eX]

[DOI]

Yan Li

Xibei Yang

Jingyu Yang

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Generalization of Soft Set Theory: From Crisp to Fuzzy Case.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Information and Engineering, 2007

2006

Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2006

Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2006

2005

Information granules in general and complete coverings.

[BibT_eX]

[DOI]

Chen Wu

Xibei Yang

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Xibei Yang

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