Ensemble Re-clustering: Refinement of Hard Clustering by Three-Way Strategy. - Pingxin Wang; Qiang Liu; Xibei Yang; Fasheng Xu (IScIDE, 2017)

C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy. - Pingxin Wang; Xibei Yang; Yiyu Yao (ISMIS, 2017)

Attribute Reduction: An Ensemble Strategy. - Suping Xu; Pingxin Wang; Jinhai Li; Xibei Yang; Xiangjian Chen (IJCRS (1), 2017)

Three-Way Spectral Clustering. - Hong Shi; Qiang Liu; Pingxin Wang (ISMIS, 2018)

Multi-granularity Attribute Reduction. - Shaochen Liang; Keyu Liu; Xiangjian Chen; Pingxin Wang; Xibei Yang (IJCSR, 2018)

NDER Attribute Reduction via an Ensemble Approach. - Huixiang Wen; Appiahmantey Eric; Xiangjian Chen; Keyu Liu; Pingxin Wang (IJCSR, 2018)

Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection. - Yuan Gao; Xiangjian Chen; Xibei Yang; Pingxin Wang (Inf., 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)

CE3: A three-way clustering method based on mathematical morphology. - Pingxin Wang; Yiyu Yao (Knowl. Based Syst., 2018)

Neighborhood Classifier for Label Noise. - Xiansheng Rao; Jingjing Song; Xibei Yang; Keyu Liu; Pingxin Wang (ICMLC, 2019)

Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View. - Yuan Gao; Xiangjian Chen; Xibei Yang; Pingxin Wang; Jusheng Mi (Complex., 2019)

A Three-Way Clustering Method Based on Ensemble Strategy and Three-Way Decision. - Pingxin Wang; Qiang Liu; Gang Xu; Kangkang Wang (Inf., 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)

Accelerator for multi-granularity attribute reduction. - Zehua Jiang; Xibei Yang; Hualong Yu; Dun Liu; Pingxin Wang; Yuhua Qian (Knowl. Based Syst., 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)

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)

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)

A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER. - Xiangjian Chen; Di Li; Pingxin Wang; Xibei Yang (IEEE Access, 2020)

Three-Way Ensemble Clustering for Incomplete Data. - Pingxin Wang; Xiangjian Chen (IEEE Access, 2020)

Three-Way Clustering Method Based on Stability Theory. - Pingxin Wang; Xibei Yang (IEEE Access, 2021)

Data-guided multi-granularity selector for attribute reduction. - Zehua Jiang; Huili Dou; Jingjing Song; Pingxin Wang; Xibei Yang; Yuhua Qian (Appl. Intell., 2021)

Granular ball guided selector for attribute reduction. - Yan Chen; Pingxin Wang; Xibei Yang; Jusheng Mi; Dun Liu (Knowl. Based Syst., 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)

Research on Power Consumption Behavior Based on PCA and Classification Algorithm. - Qing Wang; Congcong Li; Song Liu; Aofan Zhu; Pingxin Wang (AIAM, 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 (ICCSIE, 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)

Fusing attribute reduction accelerators. - Yan Chen; Xibei Yang; Jinhai Li; Pingxin Wang; Yuhua Qian (Inf. Sci., 2022)

Label-specific guidance for efficiently searching reduct. - Yu Lu; Jingjing Song; Pingxin Wang; Taihua Xu (J. Intell. Fuzzy Syst., 2022)

Bee: towards a robust attribute reduction. - Yining Chen; Pingxin Wang; Xibei Yang; Hualong Yu (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)

An Improved Mean Imputation Clustering Algorithm for Incomplete Data. - Hong Shi; Pingxin Wang; Xin Yang; Hualong Yu (Neural Process. Lett., 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 Three-Way K-Means Algorithm by Optimizing Cluster Centers. - Qihang Guo; Zhenyu Yin; Pingxin Wang (Symmetry, 2022)

Data Analytics Methods in Human Resource Demand Forecasting. - Wei Wang; Jin Zhu; Pingxin Wang (DMBD (1), 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 022 (ICIAI, 2023)

Glee: A granularity filter for feature selection. - Jing Ba; Pingxin Wang; Xibei Yang; Hualong Yu; Dongjun Yu (Eng. Appl. Artif. Intell., 2023)

Measuring effectiveness of movement-based three-way decision using fuzzy Markov model. - Chunmao Jiang; Ruiyang Xu; Pingxin Wang (Int. J. Approx. Reason., 2023)

A constraint score guided meta-heuristic searching to attribute reduction. - Jiaqi Sun; Pingxin Wang; Hualong Yu; Xibei Yang (J. Intell. Fuzzy Syst., 2023)

A three-way adaptive density peak clustering (3W-ADPC) method. - Pingxin Wang; Tingfeng Wu; Yiyu Yao (Appl. Intell., 2023)

Ensemble selector mixed with pareto optimality to feature reduction. - Zhenyu Yin; Xibei Yang; Pingxin Wang; Hualong Yu; Yuhua Qian (Appl. Soft Comput., 2023)

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)

Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction. - Qihang Guo; Keyu Liu; Taihua Xu; Pingxin Wang; Xibei Yang (Expert Syst. Appl., 2024)

Three-way clustering: Foundations, survey and challenges. - Pingxin Wang; Xibei Yang; Weiping Ding 001; Jianming Zhan 001; Yiyu Yao (Appl. Soft 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)

Three-Way Clustering Based on Digital Image Processing. - Xiangjian Chen; Pingxin Wang (IEEE Access, 2025)

UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data. - Lijun Fan; Shichao Yi; Wenrui Guan; Pingxin Wang (IEEE Access, 2025)

Fast parametric modeling of visualized simulation and design for tracked vehicle system. - Pingxin Wang; Xiaoting Rui 001; Junjie Gu; Kai Huang; Lei Zhou; Min Jiang (Adv. Eng. Softw., 2025)

HC3: A Three-Way Clustering Method Based on Hierarchical Clustering. - Wenrui Guan; Pingxin Wang; Wengang Jiang; Ying Zhang (Cogn. Comput., 2025)