Finding strongly connected components of simple digraphs based on generalized rough sets theory. - Taihua Xu; Guoyin Wang 001 (Knowl. Based Syst., 2018)

Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets. - Jie Yang 052; Guoyin Wang 001; Qinghua Zhang 001; Yuhong Chen; Taihua Xu (Knowl. Based Syst., 2019)

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

Finding strongly connected components of simple digraphs based on granulation strategy. - Taihua Xu; Guoyin Wang 001; Jie Yang 052 (Int. J. Approx. Reason., 2020)

Multi-granularity distance measure for interval-valued intuitionistic fuzzy concepts. - Shuai Li 019; Jie Yang 052; Guoyin Wang 001; Taihua Xu (Inf. Sci., 2021)

Label-specific guidance for efficiently searching reduct. - Yu Lu; Jingjing Song; Pingxin Wang; Taihua Xu (J. Intell. Fuzzy 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)

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

Attribute Reduction Based on Lift and Random Sampling. - Qing Chen; Taihua Xu; Jianjun Chen (Symmetry, 2022)

Attribute Reduction Based on the Multi-annulus Model. - Yan Liu; Jingjing Song; Taihua Xu; Jianjun Chen (IJCRS, 2023)

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

Two-Layer Information Granulation: Mapping-Equivalence Neighborhood Rough Set and Its Attribute Reduction. - Changshun Liu; Yan Liu; Jingjing Song; Taihua Xu (Intell. Autom. Soft Comput., 2023)

Fusing Supervised and Unsupervised Measures for Attribute Reduction. - Tianshun Xing; Jianjun Chen; Taihua Xu; Yan Fan (Intell. Autom. Soft Comput., 2023)

Forward Greedy Searching to κ-Reduct Based on Granular Ball. - Minhui Song; Jianjun Chen; Jingjing Song; Taihua Xu; Yan Fan (Symmetry, 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)

Three-Way Decision of Granular-Ball Rough Sets Based on Fuzziness. - Zhuangzhuang Liu; Taihua Xu; Jie Yang 052; Shuyin Xia (IJCRS (2), 2024)

Multi-view Graph Convolutional Network via Granular-Ball Computing. - Weijun Wang; Taihua Xu; Chengjie Cui; Yun Cui; Huige Li (IJCRS (1), 2024)

Distance-Guided Pseudo Label Graph Clustering Network. - Yingxing Yu; Jingjing Song; Taihua Xu; Eric C. C. Tsang; Jianjun Chen (IJCRS (2), 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)

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

3WC-GBNRS++: A Novel Three-Way Classifier With Granular-Ball Neighborhood Rough Sets Based on Uncertainty. - Jie Yang 052; Zhuangzhuang Liu; Shuyin Xia; Guoyin Wang 001; Qinghua Zhang 001; Shuai Li 019; Taihua Xu (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)

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)

Capturing local and global information: Multi-view graph convolutional network via granular-ball computing and collaborative matrix. - Weijun Wang; Xibei Yang; Qinghua Zhang 001; Shuyin Xia; Jie Yang 052; Taihua Xu (Expert Syst. Appl., 2026)