Dan Wang

Orcid: 0000-0003-0855-8984

Affiliations:
  • Xi'an University of Science and Technology, College of Computer Science and Technology, Xi'an, China
  • Xidian University, School of Electro-Mechanical Engineering, Xi'an, China (PHD 2019)


According to our database1, Dan Wang authored at least 20 papers between 2016 and 2024.

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Bibliography

2024
Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Optimal solutions to granular fuzzy relation equations with fuzzy logic operations.
Appl. Soft Comput., 2024

Feature-Based Interpretation of Image Classification With the Use of Convolutional Neural Networks.
IEEE Access, 2024

2023
Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models.
Appl. Soft Comput., September, 2023

Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation.
IEEE Trans. Fuzzy Syst., June, 2023

A Design of Granular Classifier Based on Granular Data Descriptors.
IEEE Trans. Cybern., March, 2023

Design and Development of Granular Fuzzy Rule-Based Models for Knowledge Transfer.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Transfer Learning Realized With Nonlinearly Transformed Input Space.
IEEE Trans. Emerg. Top. Comput., 2023

2022
Horizontal Federated Learning of Takagi-Sugeno Fuzzy Rule-Based Models.
IEEE Trans. Fuzzy Syst., 2022

CGFuzzer: A Fuzzing Approach Based on Coverage-Guided Generative Adversarial Networks for Industrial IoT Protocols.
IEEE Internet Things J., 2022

A Novel Hybrid Particle Swarm Optimization Algorithm for Path Planning of UAVs.
IEEE Internet Things J., 2022

2021
A randomization mechanism for realizing granular models in distributed system modeling.
Knowl. Based Syst., 2021

Modeling and analysis of rumor propagation in social networks.
Inf. Sci., 2021

Development of Granular Fuzzy Relation Equations Based on a Subset of Data.
IEEE CAA J. Autom. Sinica, 2021

Designing of higher order information granules through clustering heterogeneous granular data.
Appl. Soft Comput., 2021

2019
Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach.
IEEE Trans. Cybern., 2019

A Two-Phase Development of Fuzzy Rule-Based Model and Their Analysis.
IEEE Access, 2019

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.
Soft Comput., 2016

Fuzzy associative memories: A design through fuzzy clustering.
Neurocomputing, 2016

Granular data imputation: A framework of Granular Computing.
Appl. Soft Comput., 2016


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