基本信息/Basic information
教师姓名/name:徐 芳
职称职务/position:教 授
电子邮箱/email:matxufang@163.com
研究方向/research direction:常微分方程理论及应用;
神经网络理论及应用;深度学习理论及应用
其他信息/Academic information
获得奖励和荣誉称号
四川省学术和技术带头人后备人选;
四川省人工智能学会理事会理事;
校级教学成果奖三等奖(参与)
获得学术奖励
2016年,徐芳(参与), 项目名称:油气田开发过程的技术集成管理研究及应用, 国家教育部, 国家科学技术进步奖, 一等奖,
教育经历
2007.03-2011.06, 电子科技大学,数学科学学院 博士
2003.09-2006.03, 电子科技大学,数学科学学院 硕士
1999.09-2003.07, 四川师范大学,数学与软件科学学院 学士
科研与学术工作经历
2018.02-2019.02,在美国访学,University of Louisville, USA, 访问学者,合作导师:Jacek M. Zurada,
主持或参加科研项目(课题)情况
1. 国家自然科学基金青年科学基金项目,负责人,项目名称:背景神经网络的多稳定性研究;
2. 四川省自然科学基金面上项目,负责人,项目名称:非线性耦合神经网络的平衡点,周期轨和极限环连续吸引子研究;
3. 四川省应用基础研究计划项目,负责人,项目名称:一类非线性神经网络的稳定性分析;
4. 西南石油大学青年创新团队项目,负责人,项目名称:人工智能网络;,
5. 国家自然科学基金青年科学基金项目;项目名称:三维系统的中心问题、等时中心及临界周期分岔,参与;
6. 国家自然科学基金青年基金,项目名称:基于忆阻随机时滞神经网络的稳定性与同步研究,参与。
代表性研究成果
1. Fang Xu, Lingling Liu, Jacek M. Zurada, Zhang Yi, Analysis of equilibria for a class of recurrent neural networks with two subnetworks, IEEE Transactions on Cybernetics, 52(6):4701-4716 (2022);
2. Jianying Xiao, Yongtao Li, Shouming Zhong, Fang Xu, Extended dissipative state estimation for memristive neural networks with time-varying delay, ISA Transactions, 64: 113-128 (2016);
3. Jianying Xiao, Shouming Zhong, Yongtao Li, Fang Xu, Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays, Neurocomputing, 219: 431-439 (2016);
4. Jianying Xiao, Shouming Zhong, Yongtao Li, Fang Xu, Relaxed exponential passivity criteria for memristor-based neural networks with leakage and time-varying delays, International Journal of Machine Learning and Cybernetics, 2016:1-12 (2016);
5. Junkang Tian, Wenjun Xiong, Fang Xu, Improved delay-partitioning method to stability analysis for neural networks with discrete and distributed time-varying delays, Applied Mathematics and Computation, 233: 152-164 (2014);
6. Fang Xu, Zhang Yi, Convergence analysis of a class of simplified background neural networks with two subnetworks, Neurocomputing, 74(18): 3877-3883 (2011);
7. Fang Xu, Zhang Yi, Continuous attractors of a class of neural networks with a large number of neurons, Computers and Mathematics with Applications, 62(10): 3785-3795 (2011);
8. Fang Xu, Zhang Yi, Analysis of a class of recurrent neural networks with arbitrary exponents, Journal of Biological Systems 18 (Special Issue): 65-79 (2010);
9. Fang Xu, Dynamic stability analysis of a class of recurrent neural networks with uniform firing rate, The 2nd International Conference on Information Science and Engineering (ICISE 2010), Hangzhou, China, pp.1133-1136, December 4-6 (2010);
10. Fang Xu, Zhang Yi, Traveling waves of a class of simplified background neural networks, International Conference on Biomedical Engineering and Computer Science (ICBECS 2010), Wuhan, China, pp. 32-35, 23-25 April (2010);
11. Fang Xu, Lei Zhang, Hong Qu, Convergence analysis of background neural networks with two subnetworks, 2008 IEEE Conference on Cybernetics and Intelligent Systems (CIS 2008), Chengdu, China, pp. 440-444, September 21-24 (2008);