Pingxin Wang

According to our database, Pingxin Wang authored at least 46 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HC3: A Three-Way Clustering Method Based on Hierarchical Clustering.

Wenrui Guan, Pingxin Wang, Wengang Jiang, Ying Zhang

Cogn. Comput., February, 2025

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., December, 2024

SSGCN: a sampling sequential guided graph convolutional network.

Xiaoxiao Wang, Xibei Yang, Pingxin Wang, Hualong Yu, Taihua Xu

Int. J. Mach. Learn. Cybern., May, 2024

Three-way clustering: Foundations, survey and challenges.

Pingxin Wang, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao

Appl. Soft Comput., January, 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

Pseudo Labeling Collaborative Embedding Representation: A Multi-Channel GCNs Framework for Semi-Supervised Node Classification.

Mengnan Pang, Xun Wang, Jingjing Song, Pingxin Wang

IEEE Access, 2024

2023

Ensemble selector mixed with pareto optimality to feature reduction.

Zhenyu Yin, Xibei Yang, Pingxin Wang, Hualong Yu, Yuhua Qian

Appl. Soft Comput., November, 2023

A three-way adaptive density peak clustering (3W-ADPC) method.

Pingxin Wang, Tingfeng Wu, Yiyu Yao

Appl. Intell., October, 2023

A constraint score guided meta-heuristic searching to attribute reduction.

Jiaqi Sun, Pingxin Wang, Hualong Yu, Xibei Yang

J. Intell. Fuzzy Syst., 2023

Measuring effectiveness of movement-based three-way decision using fuzzy Markov model.

Chunmao Jiang, Ruiyang Xu, Pingxin Wang

Int. J. Approx. Reason., 2023

Glee: A granularity filter for feature selection.

Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu

Eng. Appl. Artif. Intell., 2023

CasieNet: Category-aware and Side Information Enhanced Pre-training Network for Carbon Emission Prediction.

Pingxin Wang, Zhen Jing, Zhi Zhang, Qing Wang, Hongxia Zhu, Jun Ma

Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023

Data Analytics Methods in Human Resource Demand Forecasting.

Wei Wang, Jin Zhu, Pingxin Wang

Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

2022

An Improved Three-Way K-Means Algorithm by Optimizing Cluster Centers.

Qihang Guo, Zhenyu Yin, Pingxin Wang

Symmetry, 2022

Failure Prediction and Replacement Strategies for Smart Electricity Meters Based on Field Failure Observation.

Xianguang Dong, Zhen Jing, Yanjie Dai, Pingxin Wang, Zhen Chen

Sensors, 2022

An Improved Mean Imputation Clustering Algorithm for Incomplete Data.

Hong Shi, Pingxin Wang, Xin Yang, Hualong Yu

Neural Process. Lett., 2022

Unsupervised attribute reduction: improving effectiveness and efficiency.

Zhice Gong, Yuxin Liu, Taihua Xu, Pingxin Wang, 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

Label-specific guidance for efficiently searching reduct.

Yu Lu, Jingjing Song, Pingxin Wang, Taihua Xu

J. Intell. Fuzzy Syst., 2022

Fusing attribute reduction accelerators.

Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian

Inf. Sci., 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

Signal generator and signal generation method for continuous long record wave playback power source.

Hongxia Zhu, Congcong Li, Zhen Jing, Pingxin Wang, Qing Wang, Chao Yu, Xue Zheng

Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022

Research on Power Consumption Behavior Based on PCA and Classification Algorithm.

Qing Wang, Congcong Li, Song Liu, Aofan Zhu, Pingxin Wang

Proceedings of the 4th International Conference on Artificial Intelligence and Advanced Manufacturing, 2022

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

Granular ball guided selector for attribute reduction.

Yan Chen, Pingxin Wang, Xibei Yang, Jusheng Mi, Dun Liu

Knowl. Based Syst., 2021

Data-guided multi-granularity selector for attribute reduction.

Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian

Appl. Intell., 2021

Three-Way Clustering Method Based on Stability Theory.

Pingxin Wang, Xibei Yang

IEEE Access, 2021

2020

Three-Way Ensemble Clustering for Incomplete Data.

Pingxin Wang, Xiangjian Chen

IEEE Access, 2020

A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER.

Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang

IEEE Access, 2020

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

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

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

Accelerator for multi-granularity attribute reduction.

Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian

Knowl. Based Syst., 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

A Three-Way Clustering Method Based on Ensemble Strategy and Three-Way Decision.

Pingxin Wang, Qiang Liu, Gang Xu, Kangkang Wang

Inf., 2019

Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View.

Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi

Complex., 2019

Neighborhood Classifier for Label Noise.

Xiansheng Rao, Jingjing Song, Xibei Yang, Keyu Liu, Pingxin Wang

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

CE3: A three-way clustering method based on mathematical morphology.

Pingxin Wang, Yiyu Yao

Knowl. Based Syst., 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

Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection.

Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang

Inf., 2018

NDER Attribute Reduction via an Ensemble Approach.

Huixiang Wen, Appiahmantey Eric, Xiangjian Chen, Keyu Liu, Pingxin Wang

Proceedings of the Rough Sets - International Joint Conference, 2018

Multi-granularity Attribute Reduction.

Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang

Proceedings of the Rough Sets - International Joint Conference, 2018

Three-Way Spectral Clustering.

Hong Shi, Qiang Liu, Pingxin Wang

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

2017

Attribute Reduction: An Ensemble Strategy.

Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen

Proceedings of the Rough Sets - International Joint Conference, 2017

C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy.

Pingxin Wang, Xibei Yang, Yiyu Yao

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy.

Pingxin Wang, Qiang Liu, Xibei Yang, Fasheng Xu

Proceedings of the Intelligence Science and Big Data Engineering, 2017