Information granules in general and complete coverings. - Chen Wu; Xibei Yang (GrC, 2005)

Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks. - Chen Wu; Xiaohua Hu 001; Jingyu Yang 001; Xibei Yang (RSCTC, 2006)

Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations. - Chen Wu; Xiaohua Hu 001; Lijuan Wang; Xibei Yang; Yi Pan 001 (SMC, 2006)

Generalization of Soft Set Theory: From Crisp to Fuzzy Case. - Xibei Yang; Dongjun Yu; Jingyu Yang 001; Chen Wu (ICFIE, 2007)

Dominance-Based Variable Precision Rough Fuzzy Approach in Fuzzy Information System. - Yunsong Qi; Xibei Yang; Huaijiang Sun; Yuqing Song 001 (FSKD (5), 2008)

Interception Strategy in Multi-Agent Systems based on Rough Sets. - Yan Li; Xibei Yang; Jingyu Yang 001 (GrC, 2008)

Dominance-based Rough Set Approach to Incomplete Fuzzy Information System. - Lihua Wei; Zhenmin Tang; Xibei Yang; Lili Zhang (GrC, 2008)

Extensions of dominance-based rough set approach in incomplete information system. - Lihua Wei; Zhenmin Tang; Runyun Wang; Xibei Yang (Autom. Control. Comput. Sci., 2008)

Dominance-based rough set approach and knowledge reductions in incomplete ordered information system. - Xibei Yang; Jingyu Yang 001; Chen Wu; Dongjun Yu (Inf. Sci., 2008)

First GrC model - Neighborhood Systems the most general rough set models. - Xibei Yang; Xinzhe Li; Tsau Young Lin (GrC, 2009)

A new rough set model for knowledge acquisition in incomplete information system. - Xibei Yang; Jing-Yu Yang 001; Xiaohua Hu 001 (GrC, 2009)

Combination of interval-valued fuzzy set and soft set. - Xibei Yang; Tsau Young Lin; Jingyu Yang 001; Yan Li; Dongjun Yu (Comput. Math. Appl., 2009)

Dominance-based rough set approach to incomplete interval-valued information system. - Xibei Yang; Dongjun Yu; Jingyu Yang 001; Lihua Wei (Data Knowl. Eng., 2009)

DRSA and reductions in incomplete fuzzy information system. - Lihua Wei; Zhenmin Tang; Xibei Yang; Limin Xu (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2009)

Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System. - Xibei Yang; Dongjun Yu; Jingyu Yang 001; Xiaoning Song (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009)

Credible rules in incomplete decision system based on descriptors. - Xibei Yang; Jun Xie; Xiaoning Song; Jingyu Yang 001 (Knowl. Based Syst., 2009)

Knowledge Operations in Neighborhood System. - Xibei Yang; Tsau Young Lin (GrC, 2010)

A complete fuzzy discriminant analysis approach for face recognition. - Xiaoning Song; Yu-Jie Zheng; Xiaojun Wu 001; Xibei Yang; Jing-Yu Yang 001 (Appl. Soft Comput., 2010)

Discriminant analysis approach using fuzzy fourfold subspaces model. - Xiaoning Song; Xibei Yang; Jingyu Yang 001; Xiaojun Wu 001; Yu-Jie Zheng (Neurocomputing, 2010)

Limited Dominance-based Rough Set Model and Knowledge Reductions in Incomplete Decision System. - Gongzhi Luo; Xibei Yang (J. Inf. Sci. Eng., 2010)

Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System. - Lijuan Wang; Xibei Yang; Jing-Yu Yang; Chen Wu (ICIC (3), 2011)

The Models of Dominance-Based Multigranulation Rough Sets. - Xibei Yang (ICIC (3), 2011)

A Variable Muitlgranulation Rough Sets Approach. - Ming Zhang 033; Zhenmin Tang; Weiyan Xu; Xibei Yang (ICIC (3), 2011)

An Intuitionistic Fuzzy Dominance-Based Rough Set. - Yanqin Zhang; Xibei Yang (ICIC (3), 2011)

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

Dominance-based fuzzy rough approach to an interval-valued decision system. - Xibei Yang; Ming Zhang 033 (Frontiers Comput. Sci. China, 2011)

Generalisation of rough set for rule induction in incomplete system. - Xibei Yang; Xiaoning Song; Xiaohua Hu 001 (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011)

Neighborhood systems-based rough sets in incomplete information system. - Xibei Yang; Ming Zhang 033; Huili Dou; Jingyu Yang 001 (Knowl. Based Syst., 2011)

Statistical thresholding method for infrared images. - Zuoyong Li; Chuancai Liu; Guanghai Liu 001; Xibei Yang; Yong Cheng (Pattern Anal. Appl., 2011)

An optimal symmetrical null space criterion of Fisher discriminant for feature extraction and recognition. - Xiaoning Song; Jingyu Yang 001; Xiaojun Wu 001; Xibei Yang (Soft Comput., 2011)

Valued Dominance-Based Rough Set Approach to Incomplete Information System. - Xibei Yang; Huili Dou (Trans. Comput. Sci., 2011)

A novel fuzzy supervised learning method with dynamical parameter estimation for discriminant analysis. - Xiaoning Song; Xibei Yang; Zi Liu; Xiangnan Ding (FSKD, 2012)

Incomplete multigranulation decision rules acquisition. - Lijuan Wang; Xibei Yang; Jingyu Yang 001 (GrC, 2012)

Study on characteristic consistent blocks based rough set approach to incomplete system. - Junyi Zhou; Xibei Yang (GrC, 2012)

The Models of Variable Precision Multigranulation Rough Sets. - Huili Dou; Xibei Yang; Jiyue Fan; Suping Xu (RSKT, 2012)

Hybrid: A New Multigranulation Rough Set Approach. - Xibei Yang; Cheng Yan; Cai Chen; Jingyu Yang 001 (RSKT, 2012)

Rough Set Model Based on Hybrid Tolerance Relation. - Junyi Zhou; Xibei Yang (RSKT, 2012)

Local and Global Measurements of MGRS Rules. - Xibei Yang; Yanqin Zhang; Jing-Yu Yang 001 (Int. J. Comput. Intell. Syst., 2012)

Neighborhood System Based Rough Set: Models and Attribute Reductions. - Xibei Yang; Zehua Chen; Huili Dou; Ming Zhang 033; Jingyu Yang 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012)

Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system. - Lijuan Wang; Xibei Yang; Jingyu Yang 001; Chen Wu (Inf. Sci., 2012)

Hierarchical Structures on Multigranulation Spaces. - Xibei Yang; Yuhua Qian; Jing-Yu Yang 001 (J. Comput. Sci. Technol., 2012)

Intuitionistic Fuzzy Dominance-based Rough Set Approach: Model and Attribute Reductions. - Yanqin Zhang; Xibei Yang (J. Softw., 2012)

On multigranulation rough sets in incomplete information system. - Xibei Yang; Xiaoning Song; Zehua Chen; Jingyu Yang 001 (Int. J. Mach. Learn. Cybern., 2012)

Multi-covering Based Rough Set Model. - Lijuan Wang; Xibei Yang; Chen Wu (RSFDGrC, 2013)

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis. - Xiaoning Song; Zi Liu; Xibei Yang; Jingyu Yang (Comput. Math. Appl., 2013)

On Characterizing Hierarchies of Granulation Structures via Distances. - Xibei Yang; Yuhua Qian; Jingyu Yang 001 (Fundam. Informaticae, 2013)

Hierarchy on multigranulation structures: a knowledge distance approach. - Xibei Yang; Xiaoning Song; Yanhong She; Jingyu Yang 001 (Int. J. Gen. Syst., 2013)

Test cost sensitive multigranulation rough set: Model and minimal cost selection. - Xibei Yang; Yunsong Qi; Xiaoning Song; Jingyu Yang 001 (Inf. Sci., 2013)

A Dynamic Generation Approach for Ensemble of Extreme Learning Machines. - Hualong Yu; Yulong Yuan; Xibei Yang; Yuanyuan Dan (ISNN, 2014)

Want More? Pay More! - Xibei Yang; Yong Qi; Hualong Yu; Jingyu Yang 001 (RSCTC, 2014)

Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks. - Xingbin Ma; Xibei Yang; Yong Qi; Xiaoning Song; Jing-Yu Yang 001 (RSKT, 2014)

Characterizing Hierarchies on Covering-Based Multigranulation Spaces. - Jingjing Song; Xibei Yang; Yong Qi; Hualong Yu; Xiaoning Song; Jing-Yu Yang 001 (RSKT, 2014)

Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. - Dong-Jun Yu; Jun Hu 011; Hui Yan; Xibei Yang; Jing-Yu Yang 001; Hong-Bin Shen (BMC Bioinform., 2014)

Tolerance-based multigranulation rough sets in incomplete systems. - Zaiyue Zhang; Xibei Yang (Frontiers Comput. Sci., 2014)

A parameterized fuzzy adaptive K-SVD approach for the multi-classes study of pursuit algorithms. - Xiaoning Song; Zi Liu; Xibei Yang; Jingyu Yang 001 (Neurocomputing, 2014)

Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach. - Jingjing Song; Xibei Yang; Xiaoning Song; Hualong Yu; Jing-Yu Yang 001 (J. Intell. Fuzzy Syst., 2014)

Updating multigranulation rough approximations with increasing of granular structures. - Xibei Yang; Yong Qi; Hualong Yu; Xiaoning Song; Jingyu Yang 001 (Knowl. Based Syst., 2014)

Dynamic updating multigranulation fuzzy rough set: approximations and reducts. - Hengrong Ju; Xibei Yang; Xiaoning Song; Yunsong Qi (Int. J. Mach. Learn. Cybern., 2014)

A new sparse representation-based classification algorithm using iterative class elimination. - Xiaoning Song; Zi Liu; Xibei Yang; Shang Gao 001 (Neural Comput. Appl., 2014)

Constructive and axiomatic approaches to hesitant fuzzy rough set. - Xibei Yang; Xiaoning Song; Yunsong Qi; Jingyu Yang 001 (Soft Comput., 2014)

Variable Precision Multigranulation Rough Set and Attributes Reduction. - Hengrong Ju; Xibei Yang; Huili Dou; Jingjing Song (Trans. Rough Sets, 2014)

Parity symmetrical SRC algorithm for face recognition. - Xiaoning Song; Xibei Yang (ICMLC, 2015)

Prediction of protein structural classes by decreasing nearest neighbor error rate. - Suping Xu; Xibei Yang; Xiaoning Song; Hualong Yu (ICMLC, 2015)

Imbalanced Extreme Learning Machine Based on Probability Density Estimation. - Jü Yang; Hualong Yu; Xibei Yang; Xin Zuo (MIWAI, 2015)

A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set. - Hengrong Ju; Xibei Yang; Pei Yang; Huaxiong Li; Xianzhong Zhou (RSFDGrC, 2015)

Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery. - Xiaoning Song; Zi Liu; Xibei Yang; Jing-Yu Yang 001; Yunsong Qi (Appl. Soft Comput., 2015)

AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine. - Hualong Yu; Changyin Sun; Wankou Yang; Xibei Yang; Xin Zuo (Neurocomputing, 2015)

α-Dominance relation and rough sets in interval-valued information systems. - Xibei Yang; Yong Qi; Dong-Jun Yu; Hualong Yu; Jingyu Yang 001 (Inf. Sci., 2015)

Progressive sparse representation-based classification using local discrete cosine transform evaluation for image recognition. - Xiaoning Song; Zhenhua Feng 001; Guosheng Hu; Xibei Yang; Jing-Yu Yang 001; Yunsong Qi (J. Electronic Imaging, 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). - Hengrong Ju; Xibei Yang; Yong Qi; Jingyu Yang 001 (计算机科学, 2015)

Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data. - Hualong Yu; Chaoxu Mu; Changyin Sun; Wankou Yang; Xibei Yang; Xin Zuo (Knowl. Based Syst., 2015)

Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. - Dong-Jun Yu; Yang Li 107; Jun Hu 011; Xibei Yang; Jing-Yu Yang 001; Hong-Bin Shen (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Minimum decision cost reduct for fuzzy decision-theoretic rough set model. - Jingjing Song; Eric C. C. Tsang; Degang Chen 002; Xibei Yang (ICMLC, 2016)

Neighborhood collaborative classifiers. - Suping Xu; Xibei Yang; Eric C. C. Tsang; Eric Appiah Mantey (ICMLC, 2016)

Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images. - Xiaoning Song; Zhenhua Feng 001; Xibei Yang; Xiaojun Wu 001; Jingyu Yang 001 (Neurocomputing, 2016)

Cost-sensitive rough set approach. - Hengrong Ju; Xibei Yang; Hualong Yu; Tongjun Li; Dong-Jun Yu; Jingyu Yang 001 (Inf. Sci., 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). - Xibei Yang; Xu Yan; Suping Xu; Hualong Yu (计算机科学, 2016)

Decision-theoretic rough set: A multicost strategy. - Huili Dou; Xibei Yang; Xiaoning Song; Hualong Yu; Wei-Zhi Wu 001; Jingyu Yang 001 (Knowl. Based Syst., 2016)

A comparative study of multigranulation rough sets and concept lattices via rule acquisition. - Jinhai Li; Yue Ren; Changlin Mei; Yuhua Qian; Xibei Yang (Knowl. Based Syst., 2016)

Multi-label learning with label-specific feature reduction. - Suping Xu; Xibei Yang; Hualong Yu; Dong-Jun Yu; Jingyu Yang 001; Eric C. C. Tsang (Knowl. Based Syst., 2016)

ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data. - Hualong Yu; Changyin Sun; Xibei Yang; Wankou Yang; Jifeng Shen; Yunsong Qi (Knowl. Based Syst., 2016)

Extended minimum-squared error algorithm for robust face recognition via auxiliary mirror samples. - Chang-Bin Shao; Xiaoning Song; Xibei Yang; Xiaojun Wu 001 (Soft Comput., 2016)

Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy. - Pingxin Wang; Qiang Liu; Xibei Yang; Fasheng Xu (IScIDE, 2017)

C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. - Pingxin Wang; Xibei Yang; Yiyu Yao (ISMIS, 2017)

Attribute Reduction: An Ensemble Strategy. - Suping Xu; Pingxin Wang; Jinhai Li; Xibei Yang; Xiangjian Chen (IJCRS (1), 2017)

Multigranulation rough set: A multiset based strategy. - Xibei Yang; Suping Xu; Huili Dou; Xiaoning Song; Hualong Yu; Jingyu Yang (Int. J. Comput. Intell. Syst., 2017)

基于Local约简的序贯三支分类器 (Sequential Three-way Classifier with Local Reduction). - Hengrong Ju; Huaxiong Li; Xianzhong Zhou; Bing Huang; 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). - Suping Xu; Xibei Yang; Hualong Yu; Dongjun Yu (计算机科学, 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). - Zhirong Yang; Yu Wang; Xibei Yang (计算机科学, 2017)

Cost-sensitive rough set: A multi-granulation approach. - Hengrong Ju; Huaxiong Li; Xibei Yang; Xianzhong Zhou; Bing Huang (Knowl. Based Syst., 2017)

Minimal decision cost reduct in fuzzy decision-theoretic rough set model. - Jingjing Song; Eric C. C. Tsang; Degang Chen 002; Xibei Yang (Knowl. Based Syst., 2017)

Parity symmetrical collaborative representation-based classification for face recognition. - Xiaoning Song; Xibei Yang; Chang-Bin Shao; Jingyu Yang 001 (Int. J. Mach. Learn. Cybern., 2017)

Sparse representation-based classification using generalized weighted extended dictionary. - Xiaoning Song; Chang-Bin Shao; Xibei Yang; Xiaojun Wu 001 (Soft Comput., 2017)

Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. - Jun Hu 011; Yang Li 107; Ming Zhang 033; Xibei Yang; Hong-Bin Shen; Dong-Jun Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Distance Based On Neighborhood Classifier and Attribute Reduction. - Yuan Gao; Keyu Liu; Jingjing Song; Xiang-Jian Chen; Xibei Yang (ICMLC, 2018)

Multi-granularity Attribute Reduction. - Shaochen Liang; Keyu Liu; Xiangjian Chen; Pingxin Wang; Xibei Yang (IJCSR, 2018)

LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data. - Hualong Yu; Changyin Sun; Xibei Yang; Shang Zheng; Qi Wang; Xiaoyan Xi (IEEE Access, 2018)

Ensemble selector for attribute reduction. - Xibei Yang; Yiyu Yao (Appl. Soft Comput., 2018)

Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection. - Yuan Gao; Xiangjian Chen; Xibei Yang; Pingxin Wang (Inf., 2018)

基于动态邻域的三支聚类分析 (Three-way Clustering Analysis Based on Dynamic Neighborhood). - Pingxin Wang; Qiang Liu; Xibei Yang; Jusheng Mi (计算机科学, 2018)

监督邻域粗糙集 (Supervised Neighborhood Rough Set). - Linna Wang; Xin Yang 012; Xibei Yang (计算机科学, 2018)

Neighborhood Classifier for Label Noise. - Xiansheng Rao; Jingjing Song; Xibei Yang; Keyu Liu; Pingxin Wang (ICMLC, 2019)

Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data. - Ke Cheng; Chen Zhang; Hualong Yu; Xibei Yang; Haitao Zou; Shang Gao 001 (IEEE Access, 2019)

Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View. - Yuan Gao; Xiangjian Chen; Xibei Yang; Pingxin Wang; Jusheng Mi (Complex., 2019)

Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation. - Xiangjian Chen; Di Li; Xun Wang; Xibei Yang; Hongmei Li (IET Image Process., 2019)

Pseudo-label neighborhood rough set: Measures and attribute reductions. - Xibei Yang; Shaochen Liang; Hualong Yu; Shang Gao 001; Yuhua Qian (Int. J. Approx. Reason., 2019)

An efficient selector for multi-granularity attribute reduction. - Keyu Liu; Xibei Yang; Hamido Fujita; Dun Liu; Xin Yang 012; Yuhua Qian (Inf. Sci., 2019)

面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction). - Zehua Jiang; Yibo Wang; Gang Xu; Xibei Yang; Pingxin Wang (计算机科学, 2019)

Accelerator for multi-granularity attribute reduction. - Zehua Jiang; Xibei Yang; Hualong Yu; Dun Liu; Pingxin Wang; Yuhua Qian (Knowl. Based Syst., 2019)

Sequential three-way classifier with justifiable granularity. - Hengrong Ju; Witold Pedrycz; Huaxiong Li; Weiping Ding 001; Xibei Yang; Xianzhong Zhou (Knowl. Based Syst., 2019)

Rough set based semi-supervised feature selection via ensemble selector. - Keyu Liu; Xibei Yang; Hualong Yu; Jusheng Mi; Pingxin Wang; Xiangjian Chen (Knowl. Based Syst., 2019)

Colour face recognition using fuzzy quaternion-based discriminant analysis. - Shuzhe Bao; Xiaoning Song; Guosheng Hu; Xibei Yang; Chunli Wang (Int. J. Mach. Learn. Cybern., 2019)

Neighborhood attribute reduction: a multi-criterion approach. - Jingzheng Li; Xibei Yang; Xiaoning Song; Jinhai Li; Pingxin Wang; Dong-Jun Yu (Int. J. Mach. Learn. Cybern., 2019)

State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble. - Chao Ma; Xu Zhai; Zhaopei Wang; Mingguang Tian; Qiusheng Yu; Lei Liu; Hao Liu; Hao Wang; Xibei Yang (Int. J. Mach. Learn. Cybern., 2019)

Order based hierarchies on hesitant fuzzy approximation space. - Eric C. C. Tsang; Jingjing Song; Degang Chen 002; Xibei Yang (Int. J. Mach. Learn. Cybern., 2019)

Three-way k-means: integrating k-means and three-way decision. - Pingxin Wang; Hong Shi; Xibei Yang; Jusheng Mi (Int. J. Mach. Learn. Cybern., 2019)

Fuzzy One-Class Extreme Auto-encoder. - Hualong Yu; Dan Sun; Xiaoyan Xi; Xibei Yang; Shang Zheng; Qi Wang (Neural Process. Lett., 2019)

Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data. - Hualong Yu; Changyin Sun; Xibei Yang; Shang Zheng; Haitao Zou (IEEE Trans. Fuzzy Syst., 2019)

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine. - Hualong Yu; Xibei Yang; Shang Zheng; Changyin Sun (IEEE Trans. Neural Networks Learn. Syst., 2019)

Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces. - Xiaojing Luo; Jingjing Song; Huili Dou; Xibei Yang; Taihua Xu (FSDM, 2020)

A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER. - Xiangjian Chen; Di Li; Pingxin Wang; Xibei Yang (IEEE Access, 2020)

Accelerator for supervised neighborhood based attribute reduction. - Zehua Jiang; Keyu Liu; Xibei Yang; Hualong Yu; Hamido Fujita; Yuhua Qian (Int. J. Approx. Reason., 2020)

Label distribution learning: A local collaborative mechanism. - Suping Xu; Hengrong Ju; Lin Shang 001; Witold Pedrycz; Xibei Yang; Chun Li (Int. J. Approx. Reason., 2020)

Boosting label weighted extreme learning machine for classifying multi-label imbalanced data. - Ke Cheng; Shang Gao 001; Wenlu Dong; Xibei Yang; Qi Wang; Hualong Yu (Neurocomputing, 2020)

Attribute group for attribute reduction. - Yan Chen; Keyu Liu; Jingjing Song; Hamido Fujita; Xibei Yang; Yuhua Qian (Inf. Sci., 2020)

Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach. - Xiansheng Rao; Keyu Liu; Jingjing Song; Xibei Yang; Yuhua Qian (J. Intell. Fuzzy Syst., 2020)

Quickly calculating reduct: An attribute relationship based approach. - Xiansheng Rao; Xibei Yang; Xin Yang 012; Xiangjian Chen; Dun Liu; Yuhua Qian (Knowl. Based Syst., 2020)

Supervised information granulation strategy for attribute reduction. - Keyu Liu; Xibei Yang; Hualong Yu; Hamido Fujita; Xiangjian Chen; Dun Liu (Int. J. Mach. Learn. Cybern., 2020)

Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data. - Shang Gao 001; Wenlu Dong; Ke Cheng; Xibei Yang; Shang Zheng; Hualong Yu (Neural Process. Lett., 2020)

Three-Way Clustering Method Based on Stability Theory. - Pingxin Wang; Xibei Yang (IEEE Access, 2021)

Data-guided multi-granularity selector for attribute reduction. - Zehua Jiang; Huili Dou; Jingjing Song; Pingxin Wang; Xibei Yang; Yuhua Qian (Appl. Intell., 2021)

Accelerator for crosswise computing reduct. - Zehua Jiang; Keyu Liu; Jingjing Song; Xibei Yang; Jinhai Li; Yuhua Qian (Appl. Soft Comput., 2021)

Robust supervised rough granular description model with the principle of justifiable granularity. - Hengrong Ju; Weiping Ding 001; Xibei Yang; Hamido Fujita; Suping Xu (Appl. Soft Comput., 2021)

Online sequential extreme learning machine with the increased classes. - Hualong Yu; Houjuan Xie; Xibei Yang; Haitao Zou; Shang Gao 001 (Comput. Electr. Eng., 2021)

Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism. - Wangwang Yan; Yan Chen; Jinlong Shi; Hualong Yu; Xibei Yang (Inf., 2021)

Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations. - Xin Yang 012; Dun Liu; Xibei Yang; Keyu Liu; Tianrui Li 001 (Inf. Sci., 2021)

An improved D-S evidence theory based neighborhood rough classification approach. - Tao Yin; Xiaojuan Mao; Xingtan Wu; Hengrong Ju; Weiping Ding 001; Xibei Yang (J. Intell. Fuzzy Syst., 2021)

Granular ball guided selector for attribute reduction. - Yan Chen; Pingxin Wang; Xibei Yang; Jusheng Mi; Dun Liu (Knowl. Based Syst., 2021)

Attribution reduction based on sequential three-way search of granularity. - Xun Wang; Pingxin Wang; Xibei Yang; Yiyu Yao (Int. J. Mach. Learn. Cybern., 2021)

An Exploration of Online Missing Value Imputation in Non-stationary Data Stream. - Wenlu Dong; Shang Gao 001; Xibei Yang; Hualong Yu (SN Comput. Sci., 2021)

ROSES: A Novel Semi-supervised Feature Selector. - Xiaoyu Zhang; Keyu Liu; Jing Ba; Xin Yang 012; Xibei Yang (IIP, 2022)

DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam. - Baoquan Feng; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (IEEE Access, 2022)

Neighborhood rough set based ensemble feature selection with cross-class sample granulation. - Keyu Liu; Tianrui Li 001; Xibei Yang; Xin Yang 012; Dun Liu (Appl. Soft Comput., 2022)

ECAU-Net: Efficient channel attention U-Net for fetal ultrasound cerebellum segmentation. - Xin Shu; Feng Chang; Xin Zhang; Changbin Shao; Xibei Yang (Biomed. Signal Process. Control., 2022)

Random sampling accelerator for attribute reduction. - Zhen Chen; Keyu Liu; Xibei Yang; Hamido Fujita (Int. J. Approx. Reason., 2022)

Ensemble learning using three-way density-sensitive spectral clustering. - Jiachen Fan; Pingxin Wang; Chunmao Jiang; Xibei Yang; Jingjing Song (Int. J. Approx. Reason., 2022)

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hengrong Ju; Xin Yang 012; Dun Liu (Int. J. Approx. Reason., 2022)

Hierarchical sequential three-way decision model. - Jin Qian; DaWei Tang; Ying Yu; Xibei Yang; Shang Gao 001 (Int. J. Approx. Reason., 2022)

Fusing attribute reduction accelerators. - Yan Chen; Xibei Yang; Jinhai Li; Pingxin Wang; Yuhua Qian (Inf. Sci., 2022)

Attribute reduction with personalized information granularity of nearest mutual neighbors. - Hengrong Ju; Weiping Ding 001; Zhenquan Shi 001; Jiashuang Huang; Jie Yang 052; Xibei Yang (Inf. Sci., 2022)

Granular cabin: An efficient solution to neighborhood learning in big data. - Keyu Liu; Tianrui Li 001; Xibei Yang; Xin Yang 012; Dun Liu; Pengfei Zhang 016; Jie Wang 152 (Inf. Sci., 2022)

SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors. - Aimin Zhang; Hualong Yu; Zhangjun Huan; Xibei Yang; Shang Zheng; Shang Gao 001 (Inf. Sci., 2022)

Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. - Guan-Yu Zhu; Yan Liu 038; Peng-Hao Wang; Xibei Yang; Dong-Jun Yu (J. Chem. Inf. Model., 2022)

Instance weighted SMOTE by indirectly exploring the data distribution. - Aimin Zhang; Hualong Yu; Shanlin Zhou; Zhangjun Huan; Xibei Yang (Knowl. Based Syst., 2022)

Triple-G: a new MGRS and attribute reduction. - Jing Ba; Keyu Liu; Hengrong Ju; Suping Xu; Taihua Xu; Xibei Yang (Int. J. Mach. Learn. Cybern., 2022)

Bee: towards a robust attribute reduction. - Yining Chen; Pingxin Wang; Xibei Yang; Hualong Yu (Int. J. Mach. Learn. Cybern., 2022)

Unsupervised attribute reduction: improving effectiveness and efficiency. - Zhice Gong; Yuxin Liu; Taihua Xu; Pingxin Wang; Xibei Yang (Int. J. Mach. Learn. Cybern., 2022)

An Ensemble Framework to Forest Optimization Based Reduct Searching. - Jin Wang; Yuxin Liu; Jianjun Chen; Xibei Yang (Symmetry, 2022)

An Acceleration Method for Attribute Reduction Based on Attribute Synthesis. - Chengzhi Shi; Taihua Xu; Fuhao Cheng; Xibei Yang; Jianjun Chen (IJCRS, 2023)

YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces. - Jianjun Chen; Junning Zhu; Zhuang Li; Xibei Yang (IEEE Access, 2023)

Glee: A granularity filter for feature selection. - Jing Ba; Pingxin Wang; Xibei Yang; Hualong Yu; Dongjun Yu (Eng. Appl. Artif. Intell., 2023)

A constraint score guided meta-heuristic searching to attribute reduction. - Jiaqi Sun; Pingxin Wang; Hualong Yu; Xibei Yang (J. Intell. Fuzzy Syst., 2023)

RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning. - Shanlin Zhou; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously. - Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (Neural Process. Lett., 2023)

Prediction of Multiple Types of RNA Modifications via Biological Language Model. - Ying Zhang 053; Fang Ge; Fuyi Li; Xibei Yang; Jiangning Song; Dong-Jun Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Q-learning approach to attribute reduction. - Yuxin Liu; Zhice Gong; Keyu Liu; Suping Xu; Hengrong Ju; Xibei Yang (Appl. Intell., 2023)

Multi-label learning with Relief-based label-specific feature selection. - Jiadong Zhang; Keyu Liu; Xibei Yang; Hengrong Ju; Suping Xu (Appl. Intell., 2023)

Bi-directional adaptive neighborhood rough sets based attribute subset selection. - Hengrong Ju; Weiping Ding 001; Xibei Yang; Pingping Gu (Int. J. Approx. Reason., 2023)

Gift: granularity over specific-class for feature selection. - Jing Ba; Keyu Liu; Xibei Yang; Yuhua Qian (Artif. Intell. Rev., 2023)

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hengrong Ju; Xin Yang 012; Dun Liu (Appl. Soft Comput., 2023)

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy. - Keyu Liu; Tianrui Li 001; Xibei Yang; Hongmei Chen 001; Jie Wang 152; Zhixuan Deng (IEEE Trans. Fuzzy Syst., 2023)

PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. - Yan Gu; Jicong Duan; Hualong Yu; Xibei Yang; Shang Gao 001 (Appl. Intell., 2023)

Ensemble selector mixed with pareto optimality to feature reduction. - Zhenyu Yin; Xibei Yang; Pingxin Wang; Hualong Yu; Yuhua Qian (Appl. Soft Comput., 2023)

A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation. - Shuaishuai Zhang; Keyu Liu; Taihua Xu; Xibei Yang; Ao Zhang (Appl. Intell., 2023)

Graph Neural Networks with Direct Reach to Labeled Nodes. - Qing Teng; Qihang Guo; Xibei Yang; Keyu Liu; Tianrui Li 001 (IJCRS (3), 2024)

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. - Hengrong Ju; Yang Lu; Weiping Ding 001; Jinxin Cao; Xibei Yang (Appl. Soft Comput., 2024)

Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcity. - Qiguo Sun; Hanyue Huang; Xibei Yang; Yuwei Zhang (CoRR, 2024)

A partition-based problem transformation algorithm for classifying imbalanced multi-label data. - Jicong Duan; Xibei Yang; Shang Gao 001; Hualong Yu (Eng. Appl. Artif. Intell., 2024)

Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. - Qihang Guo; Xibei Yang; Fengjun Zhang; Taihua Xu (Eng. Appl. Artif. Intell., 2024)

Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. - Qihang Guo; Keyu Liu; Taihua Xu; Pingxin Wang; Xibei Yang (Expert Syst. Appl., 2024)

Purity Skeleton Dynamic Hypergraph Neural Network. - Yuge Wang; Xibei Yang; Qiguo Sun; Yuhua Qian; Qihang Guo (Neurocomputing, 2024)

Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training. - Hui Cong; Qiguo Sun; Xibei Yang; Keyu Liu; Yuhua Qian (Inf. Sci., 2024)

Multi-association evidential feature selection and its application to identifying schizophrenia. - Hengrong Ju; Xiaoxue Fan; Weiping Ding 001; Jiashuang Huang; Witold Pedrycz; Xibei Yang (Inf. Sci., 2024)

E3WD: A three-way decision model based on ensemble learning. - Jin Qian; Di Wang; Ying Yu; Xibei Yang; Shang Gao 001 (Inf. Sci., 2024)

GPTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in G Protein-Coupled Receptors. - Xiaohua Wang; Ming Zhang 033; Xibei Yang; Dong-Jun Yu; Fang Ge (J. Chem. Inf. Model., 2024)

Three-way clustering: Foundations, survey and challenges. - Pingxin Wang; Xibei Yang; Weiping Ding 001; Jianming Zhan 001; Yiyu Yao (Appl. Soft Comput., 2024)

ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. - Jicong Duan; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (Expert Syst. Appl., 2024)

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. - Hengrong Ju; Tao Yin; Jiashuang Huang; Weiping Ding 001; Xibei Yang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

GraphSAGE with deep reinforcement learning for financial portfolio optimization. - Qiguo Sun; Xueying Wei; Xibei Yang (Expert Syst. Appl., 2024)

SSGCN: a sampling sequential guided graph convolutional network. - Xiaoxiao Wang; Xibei Yang; Pingxin Wang; Hualong Yu; Taihua Xu (Int. J. Mach. Learn. Cybern., 2024)

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. - Hengrong Ju; Tingting Shan; Weiping Ding 001; Keyu Liu; Muhammad Jabir Khan; Jiashuang Huang; Xibei Yang (IEEE Trans. Fuzzy Syst., 2024)

Multi-head multi-order graph attention networks. - Jie Ben; Qiguo Sun; Keyu Liu; Xibei Yang; Fengjun Zhang (Appl. Intell., 2024)

Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy. - Damo Qian; Keyu Liu; Shiming Zhang; Xibei Yang (Appl. Intell., 2024)

Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. - Hengrong Ju; Xiaoxue Fan; Weiping Ding 001; Jiashuang Huang; Suping Xu; Xibei Yang; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2024)

Finding single-source shortest paths from unweighted directed graphs combining rough sets theory and marking strategy. - Taihua Xu; Mingfeng Hua; Xibei Yang; Yun Cui; Fei Wang; Shuai Li (J. Appl. Math. Comput., 2024)

Sequential attention layer-wise fusion network for multi-view classification. - Qing Teng; Xibei Yang; Qiguo Sun; Pingxin Wang; Xun Wang; Taihua Xu (Int. J. Mach. Learn. Cybern., 2024)

A new ranking aggregation model Based on S3WD and PSO for hybrid multi-criteria decision making. - Jin Qian; Di Wang; Ying Yu; Xibei Yang; Shang Gao 001 (Appl. Soft Comput., 2025)

Stochastic jump diffusion process informed neural networks for accurate American option pricing under data scarcity. - Qiguo Sun; Hanyue Huang; Xibei Yang; Yuwei Zhang (Appl. Soft Comput., 2025)

UMGCN: Updating multi-graph for graph convolutional networks. - Guoquan Zhu; Keyu Liu; Xibei Yang; Qihang Guo (Comput. Electr. Eng., 2025)

Feature-topology cascade perturbation for graph neural network. - Hui Cong; Xibei Yang; Keyu Liu; Qihang Guo (Eng. Appl. Artif. Intell., 2025)

Multi-label learning based on neighborhood rough set label-specific features. - Jiadong Zhang; Jingjing Song; Huige Li; Xun Wang; Xibei Yang (Int. J. Approx. Reason., 2025)

D3WC: Deep three-way clustering with granular evidence fusion. - Hengrong Ju; Jing Guo; Weiping Ding 001; Xibei Yang (Inf. Fusion, 2025)

Incomplete label distribution learning via label correlation decomposition. - Suping Xu; Lin Shang 001; Furao Shen; Xibei Yang; Witold Pedrycz (Inf. Fusion, 2025)

Robust graph mutual-assistance convolutional networks for semi-supervised node classification tasks. - Qihang Guo; Xibei Yang; Wenrui Guan; Kai Ma; Yuhua Qian (Inf. Sci., 2025)

Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. - Hengrong Ju; Jiarong Li; Weiping Ding 001; Xiaoxue Fan; Jiashuang Huang; Suping Xu; Xibei Yang (Inf. Sci., 2025)

Collaborative graph neural networks for augmented graphs: A local-to-global perspective. - Qihang Guo; Xibei Yang; Ming Li 065; Yuhua Qian (Pattern Recognit., 2025)

CCMCS-Net: Integrating Color Correction and Multicolor-Space Stretching for Improving Underwater Image Quality. - Jianjun Chen; Yujie Yang; Jingjing Song; Xibei Yang; Jinlong Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Efficient parallel algorithm for finding strongly connected components based on granulation strategy. - Taihua Xu; Huixing He; Xibei Yang; Jie Yang 052; Jingjing Song; Yun Cui (Knowl. Inf. Syst., 2025)

Rethinking Label-specific Features for Label Distribution Learning. - Suping Xu; Chuyi Dai; Lin Shang 001; Changbin Shao; Xibei Yang; Witold Pedrycz (CoRR, 2025)

Attribute reduction based on directional semi-neighborhood rough set. - Damo Qian; Keyu Liu; Jie Wang; Shiming Zhang; Xibei Yang (Int. J. Mach. Learn. Cybern., 2025)

Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. - Suping Xu; Lin Shang 001; Keyu Liu; Hengrong Ju; Xibei Yang; Witold Pedrycz (CoRR, 2025)

Cross-Graph Interaction Networks. - Qihang Guo; Xibei Yang; Weiping Ding 001; Yuhua Qian (IEEE Trans. Knowl. Data Eng., 2025)

Multi-view collaborative learning for graph attribute imputation. - Yingxing Yu; Huige Li; Xibei Yang; Yong Zhang; Jingjing Song (Int. J. Mach. Learn. Cybern., 2025)

ISSMLCF: an inductive semi-supervised multi-label learning algorithm with co-forest paradigm. - Wenhao Liu; Jicong Duan; Changbin Shao; Xibei Yang; Sen Xu; Hualong Yu (Appl. Intell., 2025)

Star: semi-supervised tripartite attribute reduction. - Keyu Liu; Damo Qian; Tianrui Li 001; Xibei Yang; Tengyu Yin; Xin Yang 012; Dun Liu (Int. J. Mach. Learn. Cybern., 2025)

Sliced Wasserstein graph kernel for measuring global topological similarity of brain functional networks. - Kai Ma; Qi Zhu 001; Xuyun Wen; Xibei Yang; Daoqiang Zhang (Pattern Recognit., 2026)