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副教授
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  • 姓名:王小龙
  • 性别:男
  • 职称:副教授
  • 职务:
  • E-mail:xiaolongwang@snnu.edu.cn
  • 工作室:文津楼3227
性别 职称 副教授
职务 E-mail xiaolongwang@snnu.edu.cn
工作室 文津楼3227


基本情况

2020至今,太阳集团tyc151 太阳成集团tyc151cc

2019.5-2020.4,阿尔伯塔大学,计算科学系,博士后

2012.9-2018.12,西北工业大学,理学院,博士

2014.9-2016.8,阿尔伯塔大学,计算科学系,联合培养博士

2010.9-2013.4,西北工业大学,理学院,计算数学,硕士

2006.9-2010.7,西北工业大学,理学院,数学与应用数学,学士

研究方向:非线性动力学、人工智能

代表性学术论文

A. 随机系统的动力学响应分析

  • [1] Xiaolong Wang, Jing Feng, Gege Wang, Tong Li, Yong Xu, The pseudo-analytical probability solution to parameterized Fokker-Planck equations via deep learning. Engineering Applications of Artificial Intelligence 157, 111344 (2025). https://doi.org/10.1016/j.engappai.2025.111344,代码下载地址:https://github.com/xiaolong-snnu/PAPS

  • [2] Hao Zhang, Yong Xu, Qi Liu. Xiaolong Wang, Yongge Li. Solving Fokker-Planck equations using deep KD-tree with a small amount of data. Nonlinear Dynamics 108, 4029-4043 (2022). https://doi.org/10.1007/s11071-022-07361-2

  • [3] Jing Feng, Wei Xu, Yong Xu, Xiaolong Wang. Effects of Lévy noise in a neuronal competition model. Physica A 531, 121747 (2019). https://doi.org/10.1016/j.physa.2019.121747

  • [4] Jing Feng, Wei Xu, Yong Xu, Xiaolong Wang. Phase transition and alternation in a model of perceptual bistability in the presence of Lévy noise. Physica A 512: 367-378 (2018). https://doi.org/10.1016/j.physa.2018.08.111

  • [5] Jing Feng, Wei Xu, Yong Xu, Xiaolong Wang, Jürgen Kurths. Lévy noise-induced phenomena in CO oxidation on Ir(111) surfaces. Chaos 27, 073105 (2017). https://doi.org/10.1063/1.4992125

    B. 参数估计神经网络

  • [1] Xiaolong Wang, Jing Feng, Qi Liu, Yong Xu. Noise-induced alternations and data-driven parameter estimation of a stochastic perceptual model. European Physical Journal Special Topics 234, 707-719 (2025). https://doi.org/10.1140/epjs/s11734-024-01162-x

  • [2] Xiaolong Wang, Jing Feng, Qi Liu, Yongge Li, Yong Xu. Neural network-based parameter estimation of stochastic differential equations driven by Lévy noise. Physica A 606, 128146 (2022). https://doi.org/10.1016/j.physa.2022.128146

  • [3] Jing Feng, Xiaolong Wang, Qi Liu, Yong Xu, Jürgen Kurths. Fusing deep learning features for parameter identification of a stochastic airfoil system. Nonlinear Dynamics 113, 4211-4233 (2025). https://doi.org/10.1007/s11071-024-10152-6

  • [4] Jing Feng, Xiaolong Wang, Qi Liu, Yongge Li, Yong Xu. Deep learning-based parameter estimation of stochastic differential equations driven by fractional Brownian motions with measurement noise. Communications in Nonlinear Science and Numerical Simulation 127, 107589 (2023). https://doi.org/10.1016/j.cnsns.2023.107589

    C. 数据驱动的动力学建模

  • [1] Xiaolong Wang, Jing Feng, Yong Xu, Jürgen Kurths. Deep learning-based state prediction of the Lorenz system with control parameters. Chaos 34(3), 033108 (2024). https://doi.org/10.1063/5.0187866

  • [2] Qi Liu, Hiroya Nakao, Xiaolong Wang, Guangning Li, Xiaochuan Liu, Yong Xu. Reconstructing attractors of a conceptual airfoil system via next generation reservoir computing. AIAA Journal 63(4), 1349-1367 (2025). https://doi.org/10.2514/1.J064609

教育科研项目

  • [1] 国家自然科学基金,青年项目, 11901373, Lévy噪声激励下耦合神经元系统的随机动力学研究,2023.01至2025.12.

  • [2] 技术开发合同,华为技术有限公司,昇腾处理器环境中基于TensorFlow AI框架开发AI模型的NRE合作协议,2021.08至2022.07.

讲授课程

  • 随机过程、人工智能选讲、金融数学、高等数学

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