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

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)

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)

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

3WC-GBNRS++: A Novel Three-Way Classifier With Granular-Ball Neighborhood Rough Sets Based on Uncertainty - Jie Yang; Zhuangzhuang Liu; Shuyin Xia; Guoyin Wang; Qinghua Zhang; Shuai Li; Taihua Xu (IEEE Trans. Fuzzy Syst., 2024)

Three-Way Decision of Granular-Ball Rough Sets Based on Fuzziness - Zhuangzhuang Liu; Taihua Xu; Jie Yang; Shuyin Xia (Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II, 2024)

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)

Forward Greedy Searching to \(κ\)-Reduct Based on Granular Ball - Minhui Song; Jianjun Chen; Jingjing Song; Taihua Xu; Yan Fan (Symmetry, 2023)

An Acceleration Method for Attribute Reduction Based on Attribute Synthesis - Chengzhi Shi; Taihua Xu; Fuhao Cheng; Xibei Yang; Jianjun Chen (Rough Sets - International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings, 2023)

Attribute Reduction Based on the Multi-annulus Model - Yan Liu; Jingjing Song; Taihua Xu; Jianjun Chen (Rough Sets - International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings, 2023)

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)

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

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

Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces - Xiaojing Luo; Jingjing Song; Huili Dou; Xibei Yang; Taihua Xu (Fuzzy Systems and Data Mining VI - Proceedings of FSDM 2020, Virtual Event, November 13-16, 2020, 2020)

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

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