| 基本信息 | 姓名 | 薛广东 | ||
|---|---|---|---|---|
| 系室 | 数学系 | |||
| 职称 | 讲师 | |||
| 联系方式 | 见学院黄页 | |||
| 电子邮件 | gdxue@dhu.edu.cn | |||
| 研究方向 | 模糊理论与模糊系统，机器学习与模式识别 | |||
| 个人简介 | 主要研究内容：（1）模糊系统与模糊神经网络的高维建模，（2）模糊系统的规则提取问题，（3）高维数据的特征选择任务（4）EIT医学图像序列识别。 | |||
| 学习经历 | 起止年月 | 学校 | 专业 | 学位/学历 |
| 2019/09-2023/12 | 中国石油大学（华东） | 控制科学与工程 | 工学博士/研究生 | |
| 2018/09-2019/06 | 中国石油大学（华东） | 数学 | 硕博连读 | |
| 2014/09-2018/06 | 海南大学 | 物流管理 | 管理学学士/本科 | |
| 工作经历 | 起止年月 | 单位 | 职称/职务 | |
| 2023/12-至今 | 东华大学 | 讲师 | ||
| 教学工作 | 课程名称 | |||
| 本科生教学：线性代数，模糊数学与智能系统 研究生教学：工程数学，深度学习与应用 | ||||
| 科研项目 | 研究名称 | |||
| 国家自然科学基金委员会，青年科学基金项目（C类），基于模糊系统的医学图像序列识别与分析，2027.01-2029.12，主持 东华大学学科创新领域培育项目，基于电阻抗图像序列的慢性阻塞性肺病智能识别方法研究，2026-2028，主持 国家自然科学基金委员会，数学天元基金项目，基于模糊数学的智能系统设计与优化，2026.01-2027.12，主持 东华大学中央高校基本科研业务费专项资金自由探索项目，基于模糊神经网络的特征选择研究，2024.01-2026.12，主持 | ||||
| 代表性论文&科研 |
|---|
| [12] Yi Zhang, Guangdong Xue*, Jian Wang. Adaptive Constructive Fuzzy System With Spectral-Bounded Regularization and Dual Rule Selection[J]. IEEE Transactions on Fuzzy Systems, 2026, Accepted. |
| [11] Guangdong Xue, Yekai Yang, Jian Wang. Adaptive Yager T-norm-based Takagi-Sugeno-Kang fuzzy systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(12): 9802-9815. |
| [10] Ming Ma, Liyang Qian, Yi Zhang, Qi Fang, Guangdong Xue*. An adaptive double-parameter softmin based Takagi-Sugeno-Kang fuzzy system for high-dimensional data[J]. Fuzzy Sets and Systems, 2025, 521: 109582. |
| [9] Guangdong Xue, Liangjian Hu, Jian Wang, Sergey Ablameyko. ADMTSK: A high-dimensional Takagi–Sugeno–Kang fuzzy system based on adaptive Dombi T-norm[J]. IEEE Transactions on Fuzzy Systems, 2025, 33(6): 1767-1780. |
| [8] Guangdong Xue, Jian Wang, Kai Zhang, Nikhil R. Pal. High-dimensional fuzzy inference systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54(1): 507-519. |
| [7] Guangdong Xue, Jian Wang, Bin Yuan, Caili Dai. DG-ALETSK: A high-dimensional fuzzy approach with simultaneous feature selection and rule extraction[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(11): 3866-3880. |
| [6] Guangdong Xue, Jian Wang, Bingjie Zhang, Bin Yuan, Caili Dai. Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction[J]. Fuzzy Sets and Systems, 2023, 469: 108627. |
| [5] Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang, Nikhil R. Pal. An adaptive neuro-fuzzy system with integrated feature selection and rule extraction for high-dimensional classification problems[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(7): 167-2181. |
| [4] Guangdong Xue, Bingjie Zhang, Xiaoling Gong, Jian Wang. Bagging-AdaTSK: An ensemble fuzzy classifier for high-dimensional data[C]. Intelligent Computing Methodologies: International Conference on Intelligence Computing (ICIC 2022), 2022: 32-43. |
| [3] Qilin Ren, Guangdong Xue, Xiaoling Gong, Jian Wang. A novel fuzzy rule based neuro-system with sparse rule extraction for classification problems[C]. 2022 12th International Conference on Information Science and Technology (ICIST). IEEE, 2022: 356-361. |
| [2] Jiamin Li, Xiangyu Wang, Guangdong Xue, Huaqing Zhang, Jian Wang. Sparse broad learning system via a novel competitive swarm optimizer[C]. 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2022: 1697-1701. |
| [1] Huaying Sun, Shujun Wu, Guangdong Xue, Kai Zhang, Jian Wang. Broad learning system with particle swarm optimization and singular value decomposition[C]. 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2021: 255-262. |