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2020 – today
- 2024
[j34]Mengnan Pang, Xun Wang, Jingjing Song, Pingxin Wang:
Pseudo Labeling Collaborative Embedding Representation: A Multi-Channel GCNs Framework for Semi-Supervised Node Classification. IEEE Access 12: 64103-64113 (2024)- [j33]Pingxin Wang
, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao:
Three-way clustering: Foundations, survey and challenges. Appl. Soft Comput. 151: 111131 (2024) - [j32]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) - [j31]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) - [j30]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) - 2023
- [j29]Pingxin Wang, Tingfeng Wu, Yiyu Yao:
A three-way adaptive density peak clustering (3W-ADPC) method. Appl. Intell. 53(20): 23966-23982 (2023) - [j28]Zhenyu Yin, Xibei Yang, Pingxin Wang, Hualong Yu, Yuhua Qian:
Ensemble selector mixed with pareto optimality to feature reduction. Appl. Soft Comput. 148: 110877 (2023) - [j27]Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu:
Glee: A granularity filter for feature selection. Eng. Appl. Artif. Intell. 122: 106080 (2023) - [j26]Chunmao Jiang, Ruiyang Xu, Pingxin Wang:
Measuring effectiveness of movement-based three-way decision using fuzzy Markov model. Int. J. Approx. Reason. 152: 456-469 (2023) - [j25]Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang:
A constraint score guided meta-heuristic searching to attribute reduction. J. Intell. Fuzzy Syst. 44(3): 4779-4800 (2023) - [c11]Wei Wang, Jin Zhu, Pingxin Wang:
Data Analytics Methods in Human Resource Demand Forecasting. DMBD (1) 2023: 3-15 - [c10]Pingxin Wang, Zhen Jing, Zhi Zhang, Qing Wang, Hongxia Zhu, Jun Ma:
CasieNet: Category-aware and Side Information Enhanced Pre-training Network for Carbon Emission Prediction. ICIAI 2023: 79-85 - 2022
- [j24]Jiachen Fan, Pingxin Wang, Chunmao Jiang, Xibei Yang, Jingjing Song:
Ensemble learning using three-way density-sensitive spectral clustering. Int. J. Approx. Reason. 149: 70-84 (2022) - [j23]Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian:
Fusing attribute reduction accelerators. Inf. Sci. 587: 354-370 (2022) - [j22]Yu Lu, Jingjing Song, Pingxin Wang, Taihua Xu:
Label-specific guidance for efficiently searching reduct. J. Intell. Fuzzy Syst. 43(1): 1315-1329 (2022) - [j21]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) - [j20]Yining Chen, Pingxin Wang, Xibei Yang, Hualong Yu:
Bee: towards a robust attribute reduction. Int. J. Mach. Learn. Cybern. 13(12): 3927-3962 (2022) - [j19]Hong Shi, Pingxin Wang, Xin Yang, Hualong Yu:
An Improved Mean Imputation Clustering Algorithm for Incomplete Data. Neural Process. Lett. 54(5): 3537-3550 (2022) - [j18]Xianguang Dong, Zhen Jing, Yanjie Dai, Pingxin Wang, Zhen Chen:
Failure Prediction and Replacement Strategies for Smart Electricity Meters Based on Field Failure Observation. Sensors 22(24): 9804 (2022) - [j17]Qihang Guo, Zhenyu Yin, Pingxin Wang:
An Improved Three-Way K-Means Algorithm by Optimizing Cluster Centers. Symmetry 14(9): 1821 (2022) - [c9]Qing Wang, Congcong Li, Song Liu, Aofan Zhu, Pingxin Wang:
Research on Power Consumption Behavior Based on PCA and Classification Algorithm. AIAM 2022: 315-321 - [c8]Hongxia Zhu, Congcong Li, Zhen Jing, Pingxin Wang, Qing Wang, Chao Yu, Xue Zheng:
Signal generator and signal generation method for continuous long record wave playback power source. ICCSIE 2022: 864-868 - 2021
- [j16]Pingxin Wang, Xibei Yang:
Three-Way Clustering Method Based on Stability Theory. IEEE Access 9: 33944-33953 (2021) - [j15]Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian:
Data-guided multi-granularity selector for attribute reduction. Appl. Intell. 51(2): 876-888 (2021) - [j14]Yan Chen, Pingxin Wang, Xibei Yang, Jusheng Mi, Dun Liu:
Granular ball guided selector for attribute reduction. Knowl. Based Syst. 229: 107326 (2021) - [j13]Xun Wang, Pingxin Wang, Xibei Yang, Yiyu Yao:
Attribution reduction based on sequential three-way search of granularity. Int. J. Mach. Learn. Cybern. 12(5): 1439-1458 (2021) - 2020
- [j12]Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang:
A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER. IEEE Access 8: 2772-2779 (2020) - [j11]Pingxin Wang, Xiangjian Chen:
Three-Way Ensemble Clustering for Incomplete Data. IEEE Access 8: 91855-91864 (2020)
2010 – 2019
- 2019
- [j10]Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi:
Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View. Complex. 2019: 2048934:1-2048934:17 (2019) - [j9]Pingxin Wang, Qiang Liu, Gang Xu, Kangkang Wang:
A Three-Way Clustering Method Based on Ensemble Strategy and Three-Way Decision. Inf. 10(2): 59 (2019) - [j8]Zehua Jiang, Yibo Wang, Gang Xu, Xibei Yang, Pingxin Wang:
面向多尺度的属性约简加速器 (Multi-scale Based Accelerator for Attribute Reduction). 计算机科学 46(12): 250-256 (2019) - [j7]Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen:
Rough set based semi-supervised feature selection via ensemble selector. Knowl. Based Syst. 165: 282-296 (2019) - [j6]Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian:
Accelerator for multi-granularity attribute reduction. Knowl. Based Syst. 177: 145-158 (2019) - [j5]Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu:
Neighborhood attribute reduction: a multi-criterion approach. Int. J. Mach. Learn. Cybern. 10(4): 731-742 (2019) - [j4]Pingxin Wang, Hong Shi, Xibei Yang, Jusheng Mi:
Three-way k-means: integrating k-means and three-way decision. Int. J. Mach. Learn. Cybern. 10(10): 2767-2777 (2019) - [c7]Xiansheng Rao, Jingjing Song, Xibei Yang, Keyu Liu, Pingxin Wang:
Neighborhood Classifier for Label Noise. ICMLC 2019: 1-6 - 2018
- [j3]Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang:
Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection. Inf. 9(11): 282 (2018) - [j2]Pingxin Wang, Qiang Liu, Xibei Yang, Jusheng Mi:
基于动态邻域的三支聚类分析 (Three-way Clustering Analysis Based on Dynamic Neighborhood). 计算机科学 45(1): 62-66 (2018) - [j1]Pingxin Wang, Yiyu Yao:
CE3: A three-way clustering method based on mathematical morphology. Knowl. Based Syst. 155: 54-65 (2018) - [c6]Hong Shi, Qiang Liu, Pingxin Wang:
Three-Way Spectral Clustering. ISMIS 2018: 389-398 - [c5]Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang:
Multi-granularity Attribute Reduction. IJCSR 2018: 61-72 - [c4]Huixiang Wen, Appiahmantey Eric, Xiangjian Chen, Keyu Liu, Pingxin Wang:
NDER Attribute Reduction via an Ensemble Approach. IJCSR 2018: 187-201 - 2017
- [c3]Pingxin Wang, Qiang Liu, Xibei Yang, Fasheng Xu:
Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy. IScIDE 2017: 423-430 - [c2]Pingxin Wang, Xibei Yang, Yiyu Yao:
C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. ISMIS 2017: 540-549 - [c1]Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen:
Attribute Reduction: An Ensemble Strategy. IJCRS (1) 2017: 362-375
Coauthor Index
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