Granular data imputation: A framework of Granular Computing. - Chunfu Zhong; Witold Pedrycz; Dan Wang 016; Lina Li; Zhiwu Li 001 (Appl. Soft Comput., 2016)

Fuzzy associative memories: A design through fuzzy clustering. - Chunfu Zhong; Witold Pedrycz; Zhiwu Li 001; Dan Wang 016; Lina Li (Neurocomputing, 2016)

Design of granular interval-valued information granules with the use of the principle of justifiable granularity and their applications to system modeling of higher type. - Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (Soft Comput., 2016)

A Two-Phase Development of Fuzzy Rule-Based Model and Their Analysis. - Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Access, 2019)

Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach. - Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Cybern., 2019)

Designing of higher order information granules through clustering heterogeneous granular data. - Dan Wang 016; Peng Nie; Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (Appl. Soft Comput., 2021)

Development of Granular Fuzzy Relation Equations Based on a Subset of Data. - Dan Wang 016; Xiubin Zhu; Witold Pedrycz; Zhenhua Yu 001; Zhiwu Li 001 (IEEE CAA J. Autom. Sinica, 2021)

Modeling and analysis of rumor propagation in social networks. - Zhenhua Yu 001; Si Lu; Dan Wang 016; Zhiwu Li 001 (Inf. Sci., 2021)

A randomization mechanism for realizing granular models in distributed system modeling. - Dan Wang 016; Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (Knowl. Based Syst., 2021)

A Novel Hybrid Particle Swarm Optimization Algorithm for Path Planning of UAVs. - Zhenhua Yu 001; Zhijie Si; Xiaobo Li 006; Dan Wang 016; Houbing Song (IEEE Internet Things J., 2022)

CGFuzzer: A Fuzzing Approach Based on Coverage-Guided Generative Adversarial Networks for Industrial IoT Protocols. - Zhenhua Yu 001; Haolu Wang; Dan Wang 016; Zhiwu Li 001; Houbing Song (IEEE Internet Things J., 2022)

Horizontal Federated Learning of Takagi-Sugeno Fuzzy Rule-Based Models. - Xiubin Zhu; Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2022)

Transfer Learning Realized With Nonlinearly Transformed Input Space. - Xiubin Zhu; Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Emerg. Top. Comput., 2023)

Design and Development of Granular Fuzzy Rule-Based Models for Knowledge Transfer. - Xiubin Zhu; Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Design of Granular Classifier Based on Granular Data Descriptors. - Xiubin Zhu; Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Cybern., 2023)

Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation. - Xiubin Zhu; Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models. - Dan Wang 016; Xiubin Zhu; Witold Pedrycz; Adam Gacek; Aleksander Sobotnicki; Zhiwu Li 001 (Appl. Soft Comput., 2023)

Feature-Based Interpretation of Image Classification With the Use of Convolutional Neural Networks. - Dan Wang 016; Yuze Xia; Zhenhua Yu 001 (IEEE Access, 2024)

Optimal solutions to granular fuzzy relation equations with fuzzy logic operations. - Dan Wang 016; Kai Yu; Xiubin Zhu; Zhenhua Yu 001 (Appl. Soft Comput., 2024)

Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning. - Xiubin Zhu; Dan Wang 016; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Stacked fuzzy envelope consistency imbalanced ensemble classification method. - Fan Li; Dan Wang 016; Yongming Li 003; Yinghua Shen; Witold Pedrycz; Pin Wang; Yiwen Wang; Wenli Zhang (Expert Syst. Appl., 2025)

Feature Similarity Group-Class Activation Mapping (FSG-CAM): Clarity in deep learning models and Enhancement of visual explanations. - Dan Wang 016; Yuze Xia; Witold Pedrycz; Zhiwu Li 001; Zhenhua Yu 001 (Expert Syst. Appl., 2025)

Design of granular fuzzy relation models for heterogeneous data. - Kai Yu; Dan Wang 016; Zhenhua Yu 001; Zhiwu Li 001 (Expert Syst. Appl., 2025)

Detecting Characteristic Points for the Analysis of Bioimpedance Signal Through a Synergy of Fuzzy Rule-Based Models and Granular Neural Networks. - Dan Wang 016; Monika Richter; Xiubin Zhu; Witold Pedrycz; Adam Gacek; Aleksander Sobotnicki; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2025)