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Xiubin Zhu

Showing results (1-10 of 10) with videos related to

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IEEE Transactions on Cybernetics|November 5, 2020
A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy ModelsXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Neural Networks and Learning Systems|November 15, 2019
Development and Analysis of Neural Networks Realized in the Presence of Granular DataXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|March 21, 2019
A Development of Granular Input Space in System ModelingXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|January 24, 2017
Granular Data Description: Designing Ellipsoidal Information GranulesXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|July 30, 2020
A Two-Stage Approach for Constructing Type-2 Information GranulesXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|June 21, 2022
From Numeric to Granular Models: A Quest for Error and Performance AnalysisXiubin Zhu, Witold Pedrycz, Ting Qu, et al.
IEEE Transactions on Cybernetics|December 22, 2021
A Design of Granular Classifier Based on Granular Data DescriptorsXiubin Zhu, Dan Wang, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics|October 29, 2020
Optimization of Granulation-Degranulation Mechanism Through NeurocomputingPeng Nie, Xiubin Zhu, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics|June 1, 2026
Local Surrogate Models With Residual Fuzzy Rules for Model-Agnostic ExplanationsKeyu Wu, Xingchen Hu, Linying Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 6, 2025
FedMPS: Federated Learning in a Synergy of Multi-Level Prototype-Based Contrastive Learning and Soft Label GenerationWenxin Yang, Xingchen Hu, Xiubin Zhu, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Cybernetics|November 5, 2020
A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy ModelsXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Neural Networks and Learning Systems|November 15, 2019
Development and Analysis of Neural Networks Realized in the Presence of Granular DataXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|March 21, 2019
A Development of Granular Input Space in System ModelingXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|January 24, 2017
Granular Data Description: Designing Ellipsoidal Information GranulesXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|July 30, 2020
A Two-Stage Approach for Constructing Type-2 Information GranulesXiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics|June 21, 2022
From Numeric to Granular Models: A Quest for Error and Performance AnalysisXiubin Zhu, Witold Pedrycz, Ting Qu, et al.
IEEE Transactions on Cybernetics|December 22, 2021
A Design of Granular Classifier Based on Granular Data DescriptorsXiubin Zhu, Dan Wang, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics|October 29, 2020
Optimization of Granulation-Degranulation Mechanism Through NeurocomputingPeng Nie, Xiubin Zhu, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics|June 1, 2026
Local Surrogate Models With Residual Fuzzy Rules for Model-Agnostic ExplanationsKeyu Wu, Xingchen Hu, Linying Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 6, 2025
FedMPS: Federated Learning in a Synergy of Multi-Level Prototype-Based Contrastive Learning and Soft Label GenerationWenxin Yang, Xingchen Hu, Xiubin Zhu, et al.
Pageof 1