Fitness calculation approach for nested if-else construct in evolutionary testing. - Xiyang Liu; Lei Wang; Xiubin Zhu; Zhiwen Bai; Miao Zhang; Hehui Liu (GECCO, 2007)

Face Representation with Local Gabor Phase Quantization. - Xiubin Zhu (J. Networks, 2014)

Granular description of data: Building information granules with the aid of the principle of justifiable granularity. - Xiubin Zhu; Witold Pedrycz; ZhiWu Li 001 (FUZZ-IEEE, 2016)

Fuzzy clustering with nonlinearly transformed data. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (Appl. Soft Comput., 2017)

Granular Data Description: Designing Ellipsoidal Information Granules. - Xiubin Zhu; Witold Pedrycz; ZhiWu Li 001 (IEEE Trans. Cybern., 2017)

Granular Encoders and Decoders: A Study in Processing Information Granules. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2017)

Granular Representation of Data: A Design of Families of ϵ-Information Granules. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2018)

A Design of Granular Takagi-Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2018)

Granular Models and Granular Outliers. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2018)

A design of information granule-based under-sampling method in imbalanced data classification. - Tianyu Liu; Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (Soft Comput., 2020)

Development and Analysis of Neural Networks Realized in the Presence of Granular Data. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

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)

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 Development of Granular Input Space in System Modeling. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Cybern., 2021)

A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2021)

Model of Gradient Boosting Random Forest Prediction. - Zhidong Zhang; Xiubin Zhu; Ding Liu (ICNSC, 2022)

Granular data representation under privacy protection: Tradeoff between data utility and privacy via information granularity. - Ge Zhang; Xiubin Zhu; Li Yin; Witold Pedrycz; Zhiwu Li 001 (Appl. Soft Comput., 2022)

Optimization of Granulation-Degranulation Mechanism Through Neurocomputing. - Peng Nie; Xiubin Zhu; Witold Pedrycz; Zhengfeng Ming; Zhiwu Li 001 (IEEE Trans. Cybern., 2022)

A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy Models. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Cybern., 2022)

A Two-Stage Approach for Constructing Type-2 Information Granules. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Cybern., 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)

Construction and Evaluation of Information Granules: From the Perspective of Clustering. - Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A three-way classification with fuzzy decision trees. - Xiaoyu Han; Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001 (Appl. Soft Comput., 2023)

Development and evaluation of M + 1-way classification mechanism realized through identifying foreign patterns. - Huimin Zhang; Xiubin Zhu (Soft Comput., 2023)

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)

A design of fuzzy rule-based classifier optimized through softmax function and information entropy. - Xiaoyu Han; Xiubin Zhu; Witold Pedrycz; Almetwally M. Mostafa; Zhi-Wu Li 001 (Appl. Soft Comput., 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)

From Numeric to Granular Models: A Quest for Error and Performance Analysis. - Xiubin Zhu; Witold Pedrycz; Ting Qu; Zhiwu Li 001 (IEEE Trans. Cybern., 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)

Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means. - Tailong Jing; Witold Pedrycz; Xiubin Zhu; Giancarlo Succi; ZhiWu Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees. - Xiubin Zhu; Xingchen Hu; Lan Yang 007; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Prediction Model in Privacy Protection: Takagi-Sugeno Rules Model via Differential Privacy. - Ge Zhang; Xiubin Zhu; Li Yin; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2024)

A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning. - Xingchen Hu; Xiubin Zhu; Lan Yang 007; Witold Pedrycz; Zhiwu Li 001 (IEEE Trans. Fuzzy Syst., 2024)

Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. - Huimin Zhang; Xingchen Hu; Xiubin Zhu; Xinwang Liu 002; Witold Pedrycz (IEEE Trans. Knowl. Data Eng., 2024)

A Granular Aggregation of Multifaceted Gaussian Process Models. - Lan Yang 007; Xiubin Zhu; Witold Pedrycz; Zhiwu Li 001; Xingchen Hu (IEEE Trans. Fuzzy Syst., 2024)

Measuring the Impact of Rotation Equivariance on Aerial Object Detection. - Xiuyu Wu; Xinhao Wang; Xiubin Zhu; Lan Yang 007; Jiyuan Liu 003; Xingchen Hu (CoRR, 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)