关晓飞 - 同济大学 - 数学科学学院

个人简介

工作经历 2014/01–至今, 同济大学, 数学科学学院, 副教授, 博导 2009/07–2013/12, 同济大学, 数学系, 讲师 2013/12–2015/01, 美国加州大学圣地亚哥分校, 访问学者 2012/06–2012/10, 奥地利维也纳科技大学, 博士后教育背景 2006/09–2009/07, 中国科学院, 数学与系统科学研究院, 理学博士 2003/09–2006/07, 郑州大学, 数学系, 理学硕士 1998/09–2002/07, 郑州大学, 数学系, 理学学士

研究领域

(1) 数据挖掘和深度学习算法，特别关注多尺度结构神经网络和生成模型，包括VAE，GAN，Flow和Diffusion模型等 (2) 多物理场多尺度建模与不确定性量化，特别关注复杂材料结构性能及微结构演变机制和智能调控技术，包括超低温混凝土设计、金属增材3D打印和特种钢制造等 (3) 智能计算在科学工程，医学和金融经济中的应用, 包括医学图像三维重构和分割，时空序列数据建模与异常检测等，已成功应用于西门子，宝钢等工业生产及多家企业和政府部门的信息化开发与咨询工作

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Guan Xiaofei, Wang Xintong, Wu Hao, Yang Zihao, Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems, arXiv:2304.12541. Guan Xiaofei, Hu Boya, Mao Shipeng, Wang Xintong, Yang Zihao, MHDnet: Multi-modes multiscale physics informed neural networks for solving magnetohydrodynamics problems, arXiv:2305.07940. Guan Xiaofei, Jiang Lijian, Wang Yajun, Yang Zihao, A coupling generalized multiscale finite element method for coupled thermomechanical problems, arXiv:2302.01674. Yang Zihao, Wu Xixin, He Xindang, Guan Xiaofei, Cui Junzhi, A multiscale analysis-assisted two-stage reduced-order deep learning approach for upscaling properties of arbitrary contrast heterogeneous materials, Submitted, 2023. Yang Zihao, Shen Shangkun, Guan Xiaofei, He Xindang, Cui Junzhi, Multiscale analysis-based peridynamic simulation of fracture in porous media, Submitted to Front. Struct. Civ. Eng., 2023. Yang Zihao, Wang Xintong, Guan Xiaofei, Huang Jizu, A normalizing field flow induced two-stage stochastic homogenization method for random materials, to appear in Commu. Comput. Phys, 2023. He Rui, Cui Junzhi, Yang Zihao, Zhang Jieqiong, Guan Xiaofei, Learning invariant representation of multiscale hyperelastic constitutive law from sparse experimental data, to appear in Commu. Comput. Phys, 2023. Yang Zihao, Zheng Shaoqi, Han Fei, Guan Xiaofei, Zhang Jieqiong , An adaptive coupling approach of local and non-local micromechanics, J. Comput. Phys., 2023, 489, 112277. Zhang Shan, Yang Zihao, Guan Xiaofei, Multi-modes multiscale approach of heat transfer problems in heterogeneous solids with uncertain thermal conductivity, Adv. Appl. Math. Mech., 2023, 15: 69-93. Zhang Shan, Yang Zihao, Guan Xiaofei, Multiscale modelling and analysis for some special additive noises driven stochastic partial differential equations, Numer. Methods Partial. Differ. Equ., 2023, 39:1376–1397. Guan Xiaofei, Jiang Lijian, Wang Yajun, Multiscale model reduction for stochastic elasticity problems using ensemble variable-separated method, J. Comput. & App. Math., 2023, 421: 114895. Dong Hao, Yang Zihao, Guan Xiaofei, Cui Junzhi, Stochastic higher-order three-scale strength prediction model for composite structures with micromechanical analysis, J. Comput. Phys., 2022, 465, 111352. Yang Zihao, Zheng Shaoqi, Han Fei, Shen Shaokun, Guan Xiaofei, An improved peridynamic model with energy-based micromodulus correction method for fracture in particle reinforced composites, Commu. Comput. Phys, 2022, 32(2): 424-449. Yang Zihao, Huang Jizu, Feng Xiaobing, Guan Xiaofei, An efficient multi-modes Monte Carlo homogenization method for random materials, SIAM J. Sci. Comput., 2022, 44(3): A1752-A1774. Zhang Shan, Guan Xiaofei, Jiang Lijian, Convergence analysis of constraint energy minimizing generalized multiscale finite element method for a linear stochastic parabolic partial differential equation driven by additive noises, J. Comput. & App. Math., 2021, 389: 113328. Dong Hao, Cui Junzhi, Nie Yufeng, Jin Ke, Guan Xiaofei, Yang Zihao, High-order three-scale computational method for elastic behavior analysis and strength prediction of axisymmetric composite structures with multiple spatial scales, Math. Mech. Solids, 2021, 26 (6): 905-936. Hao Tingting, Guan Xiaofei, Chen Shaochun, Computable interpolation error constants for the geometric simplex finite elements, J. Sci. Comput., 2021, 87:35. Dong Hao, Nie Yufeng, Cui Junzhi, Kou Wenbo, Zou Minqiang, Han Junyan, Guan Xiaofei, Zihao Yang, A wavelet-based learning approach assisted multiscale analysis for estimating the effective thermal conductivities of particulate composites, Comput. Methods Appl. Mech. Engrg., 2021, 374: 113591. Dong Hao, Yang Zihao, Guan Xiaofei, Yang Zhiqiang, Stochastic second-order two-scale method for predicting the mechanical properties of composite materials with random interpenetrating phase, Commun. Math. Res., 2020, 36(2): 193-210. Yang Zihao, Guan Xiaofei, Cui Junzhi, Dong Hao, Stochastic multiscale heat transfer analysis of heterogeneous materials with multiple random configurations, Commu. Comput. Phys., 2020, 27(2): 431-459.