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Taihua Xu

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2020 – today

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2024
[j15]
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  - journals/eaai/GuoYZX24
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Qihang Guo, Xibei Yang, Fengjun Zhang, Taihua Xu:
Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks. Eng. Appl. Artif. Intell. 129: 107616 (2024)
[j14]
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Qihang Guo, Keyu Liu, Taihua Xu, Pingxin Wang, Xibei Yang:
Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. Expert Syst. Appl. 255: 124600 (2024)
[j13]
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  - journals/mlc/WangYWYX24
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Xiaoxiao Wang, Xibei Yang, Pingxin Wang, Hualong Yu, Taihua Xu:
SSGCN: a sampling sequential guided graph convolutional network. Int. J. Mach. Learn. Cybern. 15(5): 2023-2038 (2024)
[j12]
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Qing Teng, Xibei Yang, Qiguo Sun, Pingxin Wang, Xun Wang, Taihua Xu:
Sequential attention layer-wise fusion network for multi-view classification. Int. J. Mach. Learn. Cybern. 15(12): 5549-5561 (2024)
[j11]
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Jie Yang, Zhuangzhuang Liu, Shuyin Xia, Guoyin Wang, Qinghua Zhang, Shuai Li, Taihua Xu:
3WC-GBNRS++: A Novel Three-Way Classifier With Granular-Ball Neighborhood Rough Sets Based on Uncertainty. IEEE Trans. Fuzzy Syst. 32(8): 4376-4387 (2024)
[c4]
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  - conf/rskt/LiuXYX24
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Zhuangzhuang Liu, Taihua Xu, Jie Yang, Shuyin Xia:
Three-Way Decision of Granular-Ball Rough Sets Based on Fuzziness. IJCRS (2) 2024: 29-43
2023
[j10]
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  - journals/apin/ZhangLXYZ23
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Shuaishuai Zhang, Keyu Liu, Taihua Xu, Xibei Yang, Ao Zhang:
A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation. Appl. Intell. 53(24): 29781-29798 (2023)
[j9]
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  - journals/symmetry/SongCSXF23
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Minhui Song, Jianjun Chen, Jingjing Song, Taihua Xu, Yan Fan:
Forward Greedy Searching to κ-Reduct Based on Granular Ball. Symmetry 15(5): 996 (2023)
[c3]
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  - conf/rskt/ShiXCYC23
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Chengzhi Shi, Taihua Xu, Fuhao Cheng, Xibei Yang, Jianjun Chen:
An Acceleration Method for Attribute Reduction Based on Attribute Synthesis. IJCRS 2023: 62-74
[c2]
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Yan Liu, Jingjing Song, Taihua Xu, Jianjun Chen:
Attribute Reduction Based on the Multi-annulus Model. IJCRS 2023: 75-86
2022
[j8]
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  - journals/jifs/LuSWX22
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Yu Lu, Jingjing Song, Pingxin Wang, Taihua Xu:
Label-specific guidance for efficiently searching reduct. J. Intell. Fuzzy Syst. 43(1): 1315-1329 (2022)
[j7]
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  - journals/mlc/BaLJXXY22
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Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang:
Triple-G: a new MGRS and attribute reduction. Int. J. Mach. Learn. Cybern. 13(2): 337-356 (2022)
[j6]
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Zhice Gong, Yuxin Liu, Taihua Xu, Pingxin Wang, Xibei Yang:
Unsupervised attribute reduction: improving effectiveness and efficiency. Int. J. Mach. Learn. Cybern. 13(11): 3645-3662 (2022)
[j5]
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  - journals/symmetry/ChenXC22
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Qing Chen, Taihua Xu, Jianjun Chen:
Attribute Reduction Based on Lift and Random Sampling. Symmetry 14(9): 1828 (2022)
2021
[j4]
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  - journals/isci/LiYWX21
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Shuai Li, Jie Yang, Guoyin Wang, Taihua Xu:
Multi-granularity distance measure for interval-valued intuitionistic fuzzy concepts. Inf. Sci. 570: 599-622 (2021)
2020
[j3]
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  - journals/ijar/XuWY20
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Taihua Xu, Guoyin Wang, Jie Yang:
Finding strongly connected components of simple digraphs based on granulation strategy. Int. J. Approx. Reason. 118: 64-78 (2020)
[c1]
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  - conf/fsdm/LuoSDYX20
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Xiaojing Luo, Jingjing Song, Huili Dou, Xibei Yang, Taihua Xu:
Hierarchies and Uncertainty Measures on Pythagorean Fuzzy Approximation Spaces. FSDM 2020: 643-655

2010 – 2019

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2019
[j2]
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  - journals/kbs/YangWZCX19
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Jie Yang, Guoyin Wang, Qinghua Zhang, Yuhong Chen, Taihua Xu:
Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets. Knowl. Based Syst. 163: 131-144 (2019)
2018
[j1]
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  - journals/kbs/XuW18
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Taihua Xu, Guoyin Wang:
Finding strongly connected components of simple digraphs based on generalized rough sets theory. Knowl. Based Syst. 149: 88-98 (2018)

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