楊官學

發布時間:2021-08-19 浏覽量:

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楊官學,1984年生,浙江溫州人。博士,講師,碩士生導師,江蘇省雙創博士。2006年獲江蘇大學電子信息工程學士學位,2009年獲江蘇大學控制理論與控制工程碩士學位,2018年獲上海交通大學控制科學與工程博士學位。主要從事複雜網絡重構與分析、複雜系統建模與智能控制、機器學習等。主持或參與國家自然科學基金多項。

聯系方式

gxyang@ujs.edu.cn

科研項目

1.國家自然科學基金,基于機器學習的格蘭傑因果網絡重構算法研究,2020-2022,主持。

2.江蘇省“雙創計劃”—雙創博士(世界名校類),2019-2021,主持。

學術論文:

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. 劉國海,楊官學,沈躍等.基于神經網絡廣義逆的兩電機變頻系統内模控制[J].電工技術學報, 2010, 31(11):56-61.

12. 劉國海,楊官學.兩電機變頻系統神經網絡廣義逆内模控制[J].控制工程, 2010, 17(1):42-45.

13. 劉國海,楊官學.基于神經網絡廣義逆的感應電機變頻系統内模控制[J].江蘇大學學報(自然科學版), 2010, 31(1):63-67.

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