基本情况
2020至今，bevictor伟德官网 伟德BETVLCTOR
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
2020.9-2023.4，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
[1] Jing Feng, Xiaolong Wang, Qi Liu, Yong Xu, Jürgen Kurths. Fusing deep learning features for parameter identification of a stochastic airfoil system. Nonlinear Dynamics, 2024. https://doi.org/10.1007/s11071-024-10152-6
[2] Xialong 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, 2024. https://doi.org/10.1140/epjs/s11734-024-01162-x
[3] Xiaolong Wang, Jing Feng, Yong Xu, Jürgen Kurths. Deep learning-based state prediction of the Lorenz system with control parameters. Chaos, 2024, 34 (3): 033108. https://doi.org/10.1063/5.0187866
[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, 2023, 127: 107589. https://doi.org/10.1016/j.cnsns.2023.107589
[5] 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, 2022, 606: 128146. https://doi.org/10.1016/j.physa.2022.128146
[6] Xiaolong Wang, Hong Zhang, Guohua Peng. Evaluating and Optimizing Feature Combinations for Visual Loop Closure Detection. Journal of Intelligent & Robotic Systems, 2022, 104: 31. https://doi.org/10.1007/s10846-022-01575-7
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.
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