朱修彬
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副教授
研究生导师
- 性别：男
- 毕业院校：西安电子科技大学
- 学历：博士研究生毕业
- 学位：工学博士学位
- 在职信息：在岗
- 所在单位：机电工程学院
- 入职时间： 2019-10-21
- 学科：模式识别与智能系统
- 办公地点：主楼III-345
- 电子邮箱：18a1f0e460b6abbee453b297fbaf6ca00621c0223996a5b36cb4820d28d2ebae06f12ae3b9336af046efadc73f7340498461a6a7c2cb837eb9f758876ee5a2e2bf299c09b2f1aa3159b3d2086a696d3fa5242512d1a53988bef98e131517a863a72d0e2bbed69098e636cf8c6528a23bd98cfc4a44b250d0de47bbccfbac7d96
访问量：
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[1] Xiubin Zhu.Construction and Evaluation of Information Granules: From the Perspective of Clustering.IEEE Transactions on Systems, Man, and Cybernetics: Systems.2022,52 (3):2024-2037 (IF 13.451)
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[2] Xiubin Zhu.Development and analysis of neural networks realized in the presence of granular data.IEEE Transactions on Neural Networks and Learning Systems.2020,31 (9):3606-3619(IF 10.451)
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[3] Xiubin Zhu.A Design of Granular Classifier Based on Granular Data Descriptors.IEEE Transactions on Cybernetics.2021 :doi：10.1109/TCYB.2021.3132636(IF 11.448)
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[4] Xiubin Zhu.A Granular Approach to Interval Output Estimation for Rule-based Fuzzy Models.IEEE transactions on Cybernetics.2020 :doi：10.1109/TCYB.2020.3025668(IF 11.448)
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[5] Tianyu Liu.A design of information granule-based under-sampling method in imbalanced data classification.Soft Computing.2020,24 (22):17333-17347(IF 3.643)
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[6] Xiubin Zhu.A Two-stage Approach for Constructing Type-2 Information Granules.IEEE transactions on Cybernetics.2020 :doi：10.1109/TCYB.2020.2965967(IF 11.448)
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[7] Xiubin Zhu.A development of granular input space in system modeling.IEEE transactions on Cybernetics.2021,51 (3):1639-1650(IF 11.448)
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[8] Xiubin Zhu.Granular data description: Designing ellipsoidal information granules.IEEE Transactions on Cybernetics.2017,47 (12):4475-4484(IF 11.448)
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[9] Xiubin Zhu.Horizontal Federated Learning of Takagi-Sugeno Fuzzy Rule-based Models.IEEE Transactions on Fuzzy Systems.2021 :doi：10.1109/TFUZZ.2021.3118733(IF 12.029)
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[10] Xiubin Zhu.A Development of Hierarchically Structured Granular Models Realized through Allocation of Information Granularity.IEEE Transactions on Fuzzy Systems.2020,29 (12):3845-3858(IF 12.029)
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[11] Xiubin Zhu.Granular representation of data: A design of families of epsilon-information granules.IEEE Transactions on Fuzzy Systems.2018,26 (4):2107-2119(IF 12.029)
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[12] Xiubin Zhu.Granular models and granular outliers.IEEE Transactions on Fuzzy Systems.2018,26 (6):3835-3846(IF 12.029)
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[13] Xiubin Zhu.Granular encoders and decoders: A study in processing information granules.IEEE Transactions on Fuzzy Systems.2017,25 (5):1115-1126(IF 12.029)
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[14] Xiubin Zhu.Fuzzy clustering with nonlinearly transformed data.Applied Soft Computing.2017,61 :364-376(IF 6.725)
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[15] Xiubin Zhu.A design of granular Takagi-Sugeno fuzzy model through the synergy of fuzzy subspace clustering and optimal allocation of information granularity.IEEE Transactions on Fuzzy Systems.2018,26 (5):2499-2509(IF 12.029)
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[16] Dan Wang.Designing of higher order information granules through clustering heterogeneous granular data.Applied Soft Computing.2021 :107820(IF 6.725)
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[17] Peng Nie.Optimization of Granulation-Degranulation Mechanism Through Neurocomputing.IEEE transactions on Cybernetics.2020 :doi：10.1109/TCYB.2020.3021004(IF 11.448)
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[18] Dan Wang.A Randomization Mechanism for Realizing Granular Models in Distributed System Modeling.Knowledge-based Systems.2021,232 :107376(IF 8.038)
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[19] Xiubin Zhu, Witold Pedrycz, and Zhiwu Li, Granular description of data: Building information granules with the aid of the principle of justifiable granularity.IEEE International Conference on Fuzzy Systems.2016
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[20] Runqi Nan, Xiubin Zhu and Dan Wang, A realization of self-face diagnosis algorithm based on chinese medicine theory.the 5th International Conference on Artificial Intelligence and Big Data (ICAIBD 2022).2022
