Information Structures and Uncertainty Measures in an Incomplete Probabilistic Set-Valued Information System. - Xiaoliang Xie; Zhaowen Li; Pengfei Zhang 016; Gangqiang Zhang (IEEE Access, 2019)

A three-way decision method based on Gaussian kernel in a hybrid information system with images: An application in medical diagnosis. - Pei Wang 006; Pengfei Zhang 016; Zhaowen Li (Appl. Soft Comput., 2019)

Uncertainty measurement for a covering information system. - Zhaowen Li; Pengfei Zhang 016; Xun Ge; Ningxin Xie; Gangqiang Zhang (Soft Comput., 2019)

Uncertainty Measurement for a Fuzzy Relation Information System. - Zhaowen Li; Pengfei Zhang 016; Xun Ge; Ningxin Xie; Gangqiang Zhang; Ching-Feng Wen (IEEE Trans. Fuzzy Syst., 2019)

A novel three-way decision method in a hybrid information system with images and its application in medical diagnosis. - Zhaowen Li; Pengfei Zhang 016; Ningxin Xie; Gangqiang Zhang; Ching-Feng Wen (Eng. Appl. Artif. Intell., 2020)

Information Structures and Uncertainty measures in a Hybrid Information System: Gaussian Kernel Method. - Jiasheng Zeng; Zhaowen Li; Pengfei Zhang 016; Pei Wang 006 (Int. J. Fuzzy Syst., 2020)

Using 2-tuple Linguistic Model for Multi-source Set-valued Information Fusion. - Feifei Yang; Pengfei Zhang 016 (ISKE, 2021)

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions. - Zhong Yuan; Hongmei Chen 001; Peng Xie 002; Pengfei Zhang 016; Jia Liu 033; Tianrui Li 001 (Appl. Soft Comput., 2021)

Multi-source information fusion based on rough set theory: A review. - Pengfei Zhang 016; Tianrui Li 001; Guoqiang Wang; Chuan Luo 001; Hongmei Chen 001; Junbo Zhang; Dexian Wang 001; Zeng Yu 001 (Inf. Fusion, 2021)

Double-local rough sets for efficient data mining. - Guoqiang Wang; Tianrui Li 001; Pengfei Zhang 016; Qianqian Huang; Hongmei Chen 001 (Inf. Sci., 2021)

Information structures and uncertainty in an image information system. - Gangqiang Zhang; Zhaowen Li; Pengfei Zhang 016; Ningxin Xie (J. Intell. Fuzzy Syst., 2021)

Exploiting fuzzy rough mutual information for feature selection. - Zhihong Wang; Hongmei Chen 001; Zhong Yuan; Xiaoling Yang; Pengfei Zhang 016; Tianrui Li 001 (Appl. Soft Comput., 2022)

AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets. - Pengfei Zhang 016; Tianrui Li 001; Chuan Luo 001; Guoqiang Wang (Int. J. Approx. Reason., 2022)

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Chuan Luo 001; Guoqiang Wang; Jia Liu 033; Shengdong Du (Inf. Fusion, 2022)

Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy. - Zhixuan Deng; Tianrui Li 001; Dayong Deng; Keyu Liu; Pengfei Zhang 016; Shiming Zhang; Zhipeng Luo (Inf. Sci., 2022)

Granular cabin: An efficient solution to neighborhood learning in big data. - Keyu Liu; Tianrui Li 001; Xibei Yang; Xin Yang 012; Dun Liu; Pengfei Zhang 016; Jie Wang 152 (Inf. Sci., 2022)

Dual graph-regularized sparse concept factorization for clustering. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Hongjun Wang 002; Pengfei Zhang 016 (Inf. Sci., 2022)

Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection. - Xiaoling Yang; Hongmei Chen 001; Tianrui Li 001; Pengfei Zhang 016; Chuan Luo 001 (Inf. Sci., 2022)

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information. - Zhong Yuan; Hongmei Chen 001; Pengfei Zhang 016; Jihong Wan; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2022)

MSIF: Multi-source information fusion based on information sets. - Feifei Yang; Pengfei Zhang 016 (J. Intell. Fuzzy Syst., 2023)

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Fan Zhang 108; Wei Huang 037; Pengfei Zhang 016; Jia Liu 033 (ACM Trans. Knowl. Discov. Data, 2023)

A multi-source information fusion model for outlier detection. - Pengfei Zhang 016; Tianrui Li 001; Guoqiang Wang; Dexian Wang 001; Pei Lai; Fan Zhang 108 (Inf. Fusion, 2023)

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Zhixuan Deng; Guoqiang Wang; Dexian Wang 001; Fan Zhang 108 (IEEE Trans. Fuzzy Syst., 2023)

A multi-view clustering algorithm based on deep semi-NMF. - Dexian Wang 001; Tianrui Li 001; Wei Huang 037; Zhipeng Luo; Ping Deng 002; Pengfei Zhang 016; Minbo Ma (Inf. Fusion, 2023)

Fast attribute reduction via inconsistent equivalence classes for large-scale data. - Guoqiang Wang; Pengfei Zhang 016; Dexian Wang 001; Hongmei Chen 001; Tianrui Li 001 (Int. J. Approx. Reason., 2023)

A Dynamic Unsupervised Feature Selection Method Based on Information Sets and Fuzzy Rough Sets. - Yuxin Zhao; Pengfei Zhang 016; Dexian Wang 001; Tianrui Li 001 (IJCRS (2), 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 016; Ying Xie; Zhaomin Kuang; Xingji Zeng; Shushi Li (Appl. Soft Comput., 2024)

FedDAF: Federated deep attention fusion for dangerous driving behavior detection. - Jia Liu 033; Nijing Yang; Yan-Li Lee 001; Wei Huang 037; Yajun Du; Tianrui Li 001; Pengfei Zhang 016 (Inf. Fusion, 2024)

A multi-scale information fusion-based multiple correlations for unsupervised attribute selection. - Pengfei Zhang 016; Dexian Wang 001; Zheng Yu 006; Yujie Zhang; Tao Jiang 014; Tianrui Li 001 (Inf. Fusion, 2024)

An autoencoder-like deep NMF representation learning algorithm for clustering. - Dexian Wang 001; Pengfei Zhang 016; Ping Deng 002; Qiao-Feng Wu; Wei Chen 141; Tao Jiang 014; Wei Huang 037; Tianrui Li 001 (Knowl. Based Syst., 2024)

Feature selection based on probability and mathematical expectation. - Zhixuan Deng; Tianrui Li 001; Keyu Liu; Pengfei Zhang 016; Dayong Deng (Int. J. Mach. Learn. Cybern., 2024)

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Chuan Luo 001; Keyu Liu; Xiaoling Yang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. - Tengyu Yin; Hongmei Chen 001; Jihong Wan; Pengfei Zhang 016; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2024)

Feature Selection for Handling Label Ambiguity Using Weighted Label-Fuzzy Relevancy and Redundancy. - Zhixuan Deng; Tianrui Li 001; Dayong Deng; Keyu Liu; Zhipeng Luo; Pengfei Zhang 016 (IEEE Trans. Fuzzy Syst., 2024)

DNSRF: Deep Network-based Semi-NMF Representation Framework. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Zhipeng Luo; Pengfei Zhang 016; Keyu Liu; Wei Huang 037 (ACM Trans. Intell. Syst. Technol., 2024)

Dynamic Feature Selection Based on F-fuzzy Rough Set for Label Distribution Learning. - Dayong Deng; Tong Chen; Zhixuan Deng; Keyu Liu; Pengfei Zhang 016 (Int. J. Fuzzy Syst., 2024)

Leveraging Local Density Decision Labeling and Fuzzy Dependency for Semi-supervised Feature Selection. - Gangqiang Zhang; Jingjing Hu; Pengfei Zhang 016 (Int. J. Fuzzy Syst., 2024)

Feature selection for label distribution learning based on neighborhood fuzzy rough sets. - Zhixuan Deng; Tianrui Li 001; Pengfei Zhang 016; Keyu Liu; Zhong Yuan; Dayong Deng (Appl. Soft Comput., 2025)

Central-peripheral nervous system activation in exoskeleton modes: A Granger causality analysis via EEG-EMG fusion. - Xiabing Zhang; Yuqin Li; Pengfei Zhang 016; Dexian Wang 001; Guang Yao; Peng Xu (Expert Syst. Appl., 2025)

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. - Jihong Wan; Xiaoping Li 001; Pengfei Zhang 016; Hongmei Chen 001; Xiaocao Ouyang; Tianrui Li 001; Kay Chen Tan (Inf. Fusion, 2025)

Information fusion for large-scale multi-source data based on the Dempster-Shafer evidence theory. - Qinli Zhang; Pengfei Zhang 016; Tianrui Li 001 (Inf. Fusion, 2025)

I2QD: Unsupervised feature selection via information quality, quantity, and difference degree. - Pengfei Zhang 016; Yuxin Zhao; Lvhui Hu; Dexian Wang 001; Lilan Peng; Zhong Li 001; Herwig Unger; Tianrui Li 001 (Inf. Process. Manag., 2025)

Outlier detection based on multiple information extraction. - Dayong Deng; Tong Chen; Zhixuan Deng; Tianrui Li 001; Pengfei Zhang 016 (Inf. Sci., 2025)

Information fusion and feature selection for multi-source data utilizing Dempster-Shafer evidence theory and K-nearest neighbors. - Pengfei Zhang 016; Qinli Zhang; Jingxin Liu; Dexian Wang 001; Hua Ye; Xiabing Zhang; Tianrui Li 001 (Inf. Sci., 2025)

NDRIDC: NMF-based deep representation algorithm for incomplete data clustering. - Dexian Wang 001; Zonglin Li; Sha Yang; Tianrui Ren; Pengfei Zhang 016; Ping Deng 002; Tianrui Li 001 (Knowl. Based Syst., 2025)

Big data fusion with knowledge graph: a comprehensive overview. - Jia Liu 033; Ruotian Lan; Yajun Du; Xipeng Yuan; Huan Xu; Tianrui Li 001; Wei Huang 037; Pengfei Zhang 016 (Appl. Intell., 2025)

ODMGIS: An Outlier Detection Method Based on Multigranularity Information Sets. - Pengfei Zhang 016; Zhaoxuan He; Dexian Wang 001; Tao Jiang 014; Baolin Li; Jia Liu 033; Wei Huang 037; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2025)

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning. - Wei Huang 037; Junling Chen; Dexian Wang 001; Pengfei Zhang 016; Jia Liu 033; Tianrui Li 001 (Int. J. Comput. Intell. Syst., 2025)