Pengfei Zhang

According to our database, Pengfei Zhang authored at least 48 papers between 2019 and 2025.

Collaborative distances:

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

2025

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning.

Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu, Tianrui Li

Int. J. Comput. Intell. Syst., December, 2025

ODMGIS: An Outlier Detection Method Based on Multigranularity Information Sets.

Pengfei Zhang, Zhaoxuan He, Dexian Wang, Tao Jiang, Baolin Li, Jia Liu, Wei Huang, Tianrui Li

IEEE Trans. Fuzzy Syst., July, 2025

Big data fusion with knowledge graph: a comprehensive overview.

Jia Liu, Ruotian Lan, Yajun Du, Xipeng Yuan, Huan Xu, Tianrui Li, Wei Huang, Pengfei Zhang

Appl. Intell., May, 2025

NDRIDC: NMF-based deep representation algorithm for incomplete data clustering.

Dexian Wang, Zonglin Li, Sha Yang, Tianrui Ren, Pengfei Zhang, Ping Deng, Tianrui Li

Knowl. Based Syst., 2025

Information fusion and feature selection for multi-source data utilizing Dempster-Shafer evidence theory and K-nearest neighbors.

Pengfei Zhang, Qinli Zhang, Jingxin Liu, Dexian Wang, Hua Ye, Xiabing Zhang, Tianrui Li

Inf. Sci., 2025

Outlier detection based on multiple information extraction.

Dayong Deng, Tong Chen, Zhixuan Deng, Tianrui Li, Pengfei Zhang

Inf. Sci., 2025

I2QD: Unsupervised feature selection via information quality, quantity, and difference degree.

Pengfei Zhang, Yuxin Zhao, Lvhui Hu, Dexian Wang, Lilan Peng, Zhong Li, Herwig Unger, Tianrui Li

Inf. Process. Manag., 2025

Information fusion for large-scale multi-source data based on the Dempster-Shafer evidence theory.

Qinli Zhang, Pengfei Zhang, Tianrui Li

Inf. Fusion, 2025

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration.

Jihong Wan, Xiaoping Li, Pengfei Zhang, Hongmei Chen, Xiaocao Ouyang, Tianrui Li, Kay Chen Tan

Inf. Fusion, 2025

Central-peripheral nervous system activation in exoskeleton modes: A Granger causality analysis via EEG-EMG fusion.

Xiabing Zhang, Yuqin Li, Pengfei Zhang, Dexian Wang, Guang Yao, Peng Xu

Expert Syst. Appl., 2025

Feature selection for label distribution learning based on neighborhood fuzzy rough sets.

Zhixuan Deng, Tianrui Li, Pengfei Zhang, Keyu Liu, Zhong Yuan, Dayong Deng

Appl. Soft Comput., 2025

2024

Leveraging Local Density Decision Labeling and Fuzzy Dependency for Semi-supervised Feature Selection.

Gangqiang Zhang, Jingjing Hu, Pengfei Zhang

Int. J. Fuzzy Syst., November, 2024

Dynamic Feature Selection Based on F-fuzzy Rough Set for Label Distribution Learning.

Dayong Deng, Tong Chen, Zhixuan Deng, Keyu Liu, Pengfei Zhang

Int. J. Fuzzy Syst., November, 2024

DNSRF: Deep Network-based Semi-NMF Representation Framework.

Dexian Wang, Tianrui Li, Ping Deng, Zhipeng Luo, Pengfei Zhang, Keyu Liu, Wei Huang

ACM Trans. Intell. Syst. Technol., October, 2024

Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy.

Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Zhipeng Luo, Pengfei Zhang

IEEE Trans. Fuzzy Syst., August, 2024

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space.

Tengyu Yin, Hongmei Chen, Jihong Wan, Pengfei Zhang, Shi-Jinn Horng, Tianrui Li

Inf. Fusion, April, 2024

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Feature selection based on probability and mathematical expectation.

Zhixuan Deng, Tianrui Li, Keyu Liu, Pengfei Zhang, Dayong Deng

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

An autoencoder-like deep NMF representation learning algorithm for clustering.

Dexian Wang, Pengfei Zhang, Ping Deng, Qiao-Feng Wu, Wei Chen, Tao Jiang, Wei Huang, Tianrui Li

Knowl. Based Syst., 2024

A multi-scale information fusion-based multiple correlations for unsupervised attribute selection.

Pengfei Zhang, Dexian Wang, Zheng Yu, Yujie Zhang, Tao Jiang, Tianrui Li

Inf. Fusion, 2024

FedDAF: Federated deep attention fusion for dangerous driving behavior detection.

Jia Liu, Nijing Yang, Yan-Li Lee, Wei Huang, Yajun Du, Tianrui Li, Pengfei Zhang

Inf. Fusion, 2024

A dissolved oxygen levels prediction method based on single-hidden layer feedforward neural network using neighborhood information metric.

Yongming Luo, Jingjing Hu, Gangqiang Zhang, Pengfei Zhang, Ying Xie, Zhaomin Kuang, Xingji Zeng, Shushi Li

Appl. Soft Comput., 2024

A Dynamic Unsupervised Feature Selection Method Based on Information Sets and Fuzzy Rough Sets.

Yuxin Zhao, Pengfei Zhang, Dexian Wang, Tianrui Li

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

Fast attribute reduction via inconsistent equivalence classes for large-scale data.

Guoqiang Wang, Pengfei Zhang, Dexian Wang, Hongmei Chen, Tianrui Li

Int. J. Approx. Reason., December, 2023

A multi-view clustering algorithm based on deep semi-NMF.

Dexian Wang, Tianrui Li, Wei Huang, Zhipeng Luo, Ping Deng, Pengfei Zhang, Minbo Ma

Inf. Fusion, November, 2023

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Zhixuan Deng, Guoqiang Wang, Dexian Wang, Fan Zhang

IEEE Trans. Fuzzy Syst., September, 2023

A multi-source information fusion model for outlier detection.

Pengfei Zhang, Tianrui Li, Guoqiang Wang, Dexian Wang, Pei Lai, Fan Zhang

Inf. Fusion, May, 2023

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.

Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu

ACM Trans. Knowl. Discov. Data, 2023

MSIF: Multi-source information fusion based on information sets.

Feifei Yang, Pengfei Zhang

J. Intell. Fuzzy Syst., 2023

2022

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.

Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li

IEEE Trans. Fuzzy Syst., 2022

Student-<i>t</i> kernelized fuzzy rough set model with fuzzy divergence for feature selection.

Xiaoling Yang, Hongmei Chen, Tianrui Li, Pengfei Zhang, Chuan Luo

Inf. Sci., 2022

Dual graph-regularized sparse concept factorization for clustering.

Dexian Wang, Tianrui Li, Ping Deng, Hongjun Wang, Pengfei Zhang

Inf. Sci., 2022

Granular cabin: An efficient solution to neighborhood learning in big data.

Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang

Inf. Sci., 2022

Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy.

Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Pengfei Zhang, Shiming Zhang, Zhipeng Luo

Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.

Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du

Inf. Fusion, 2022

AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets.

Pengfei Zhang, Tianrui Li, Chuan Luo, Guoqiang Wang

Int. J. Approx. Reason., 2022

Exploiting fuzzy rough mutual information for feature selection.

Zhihong Wang, Hongmei Chen, Zhong Yuan, Xiaoling Yang, Pengfei Zhang, Tianrui Li

Appl. Soft Comput., 2022

2021

Information structures and uncertainty in an image information system.

Gangqiang Zhang, Zhaowen Li, Pengfei Zhang, Ningxin Xie

J. Intell. Fuzzy Syst., 2021

Double-local rough sets for efficient data mining.

Guoqiang Wang, Tianrui Li, Pengfei Zhang, Qianqian Huang, Hongmei Chen

Inf. Sci., 2021

Multi-source information fusion based on rough set theory: A review.

Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu

Inf. Fusion, 2021

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.

Zhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li

Appl. Soft Comput., 2021

Using 2-tuple Linguistic Model for Multi-source Set-valued Information Fusion.

Feifei Yang, Pengfei Zhang

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020

Information Structures and Uncertainty measures in a Hybrid Information System: Gaussian Kernel Method.

Jiasheng Zeng, Zhaowen Li, Pengfei Zhang, Pei Wang

Int. J. Fuzzy Syst., 2020

A novel three-way decision method in a hybrid information system with images and its application in medical diagnosis.

Zhaowen Li, Pengfei Zhang, Ningxin Xie, Gangqiang Zhang, Ching-Feng Wen

Eng. Appl. Artif. Intell., 2020

2019

Uncertainty Measurement for a Fuzzy Relation Information System.

Zhaowen Li, Pengfei Zhang, Xun Ge, Ningxin Xie, Gangqiang Zhang, Ching-Feng Wen

IEEE Trans. Fuzzy Syst., 2019

Uncertainty measurement for a covering information system.

Zhaowen Li, Pengfei Zhang, Xun Ge, Ningxin Xie, Gangqiang Zhang

Soft Comput., 2019

A three-way decision method based on Gaussian kernel in a hybrid information system with images: An application in medical diagnosis.

Pei Wang, Pengfei Zhang, Zhaowen Li

Appl. Soft Comput., 2019

Information Structures and Uncertainty Measures in an Incomplete Probabilistic Set-Valued Information System.

Xiaoliang Xie, Zhaowen Li, Pengfei Zhang, Gangqiang Zhang

IEEE Access, 2019