杨官学

发布时间:2021-08-19 浏览量:

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杨官学,1984年生,浙江温州人。博士,讲师,硕士生导师,江苏省双创博士。2006年获澳门新浦京棋牌电子信息工程学士学位,2009年获澳门新浦京棋牌控制理论与控制工程硕士学位,2018年获上海交通大学控制科学与工程博士学位。主要从事复杂网络重构与分析、复杂系统建模与智能控制、机器学习等。主持或参与国家自然科学基金多项。

联系方式

gxyang@ujs.edu.cn

科研项目

1.国家自然科学基金,基于机器学习的格兰杰因果网络重构算法研究,2020-2022,主持。

2.江苏省“双创计划”—双创博士(世界名校类),2019-2021,主持。

学术论文:

1. Guanxue Yang, Guanxiao Yang, Xu Chen, Zhaowei Wang. Topology Identification of Complex Networked System via Group Sparse Penalized Nonlinear Least Squares[C]. In Proceedings of 40th Chinese Control Conference (CCC), Shanghai, 2021.

2. Jie Xu, Guanxue Yang,Guohai Liu,Guanxiao Yang. Reverse Engineering Gene Regulatory Networks Based on Dynamic Threshold Condition Mutual Information With Resampling Strategy[C]. In Proceedings of 40th Chinese Control Conference (CCC), Shanghai, 2021.

3. Wenxin Zhang, Guanxue Yang, Lin Wang.Reconstruction of time-varying small-world networks incorporating structural priors[C]. In Proceedings of 2019 International Federation of Automatic Control (IFAC), 2019:49-54.

4. Wenxin Zhang, Guanxue Yang, Lin Wang. Reconstruction of Complex Time-varying Weighted Networks Based on LASSO. In Proceedings of 37th Chinese Control Conference (CCC), Wuhan, 2018.

5. Xu Chen, Xuan Wei, Guanxue Yang, Wenli Du. Fireworks explosion based artificial bee colony for numerical optimization[J].Knowledge-Based Systems, 2020,188: 105002.

6. Yang Guanxue, Wang Lin, and Wang Xiaofan. Time-delayed Network Reconstruction based on Nonlinear Continuous Dynamical Systems [C]. In Proceedings of 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018.

7. Yang Guanxue, Wang Lin, and Wang Xiaofan. Reconstruction of complex directional networks with group lasso nonlinear conditional granger causality [J]. Scientific Reports, 7 (2017) 2991.

8. Yang Guanxue, Wang Lin, and Wang Xiaofan. Inferring time-delayed dynamic networks with nonlinearity and nonuniform lags [J]. Europhysics Letters, 119 (2017) 28001.

9. Yang Guanxue, Wang Lin, and Wang Xiaofan. Network reconstruction based on grouped sparse nonlinear graphical granger causality [C]. In Proceedings of the 35th Chinese Control Conference, Chengdu, 2016: 2229-2234.

10. Yang Jiajun, Yang Guanxue. Network reconstruction based on compressive sensing [C]. In Proceedings of the 34th Chinese Control Conference, Hangzhou, 2015:2123-2128.

11. 刘国海,杨官学,沈跃等.基于神经网络广义逆的两电机变频系统内模控制[J].电工技术学报, 2010, 31(11):56-61.

12. 刘国海,杨官学.两电机变频系统神经网络广义逆内模控制[J].控制工程, 2010, 17(1):42-45.

13. 刘国海,杨官学.基于神经网络广义逆的感应电机变频系统内模控制[J].澳门新浦京棋牌学报(自然科学版), 2010, 31(1):63-67.