Superconvergence Analysis of Finite Element Method for a Second-Type Variational Inequality. - Dongyang Shi; Hongbo Guan; Xiaofei Guan (J. Appl. Math., 2012)

Superconvergence Analysis of a Multiscale Finite Element Method for Elliptic Problems with Rapidly Oscillating Coefficients. - Xiaofei Guan; Xiao-Ling Wang; Cheng Wang; Xian Liu (J. Appl. Math., 2013)

New error estimates of the Morley element for the plate bending problems. - Mingxia Li; Xiaofei Guan; Shipeng Mao (J. Comput. Appl. Math., 2014)

High accuracy analysis of nonconforming MFEM for constrained optimal control problems governed by Stokes equations. - Hongbo Guan; Dongyang Shi; Xiaofei Guan (Appl. Math. Lett., 2016)

Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. - Guoxin Fan; Huaqing Liu; Zhenhua Wu; Yufeng Li; Chaobo Feng; Dongdong Wang; Jie Luo 003; Xiaofei Guan; William M. Wells III; Shisheng He (CoRR, 2018)

Simulation Analysis on Phase Retrieval using Transport of Intensity with an Off-axis Hologram. - Wenjing Zhou; Hongxia Shen; Xiaofei Guan; Yingjie Yu; Hongbo Zhang; Ting-Chung Poon (ISIE, 2019)

Convergence analysis of constraint energy minimizing generalized multiscale finite element method for a linear stochastic parabolic partial differential equation driven by additive noises. - Shan Zhang; Xiaofei Guan; Lijian Jiang (J. Comput. Appl. Math., 2021)

Computable Interpolation Error Constants for the Geometric Simplex Finite Elements. - Tingting Hao; Xiaofei Guan; Shipeng Mao; Shaochun Chen (J. Sci. Comput., 2021)

High-Frequency rTMS Combined with Task-Specific Hand Motor Training Modulates Corticospinal Plasticity in Motor Complete Spinal Cord Injury: A case report. - Nabila Brihmat; Mehmed Bugrahan Bayram; Didier Allexandre; Soha Saleh; Guang H. Yue; Xiaofei Guan; Jian Zhong; Gail F. Forrest (EMBC, 2022)

An efficient multi-modes Monte Carlo homogenization method for random materials. - Zihao Yang; Jizu Huang; Xiaobing Feng; Xiaofei Guan (CoRR, 2022)

Stochastic higher-order three-scale strength prediction model for composite structures with micromechanical analysis. - Hao Dong 012; Zihao Yang; Xiaofei Guan; Junzhi Cui (J. Comput. Phys., 2022)

An Efficient MultiModes Monte Carlo Homogenization Method for Random Materials. - Zihao Yang; Jizu Huang; Xiaobing Feng 001; Xiaofei Guan (SIAM J. Sci. Comput., 2022)

A coupling generalized multiscale finite element method for coupled thermomechanical problems. - Xiaofei Guan; Lijian Jiang; Yajun Wang; Zihao Yang (CoRR, 2023)

Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems. - Xiaofei Guan; Xintong Wang; Hao Wu (CoRR, 2023)

MHDnet: Multi-modes multiscale physics informed neural networks for solving magnetohydrodynamics problems. - Xiaofei Guan; Boya Hu; Shipeng Mao; Xintong Wang (CoRR, 2023)

Higher-order multi-scale method for high-accuracy nonlinear thermo-mechanical simulation of heterogeneous shells. - Hao Dong 012; Xiaofei Guan; Yufeng Nie 001 (CoRR, 2023)

Multiscale model reduction for stochastic elasticity problems using ensemble variable-separated method. - Xiaofei Guan; Lijian Jiang; Yajun Wang (J. Comput. Appl. Math., 2023)

An adaptive coupling approach of local and non-local micromechanics. - Zihao Yang; Shaoqi Zheng; Fei Han; Xiaofei Guan; Jieqiong Zhang (J. Comput. Phys., 2023)

Phase field smoothing-PINN: A neural network solver for partial differential equations with discontinuous coefficients. - Rui He; Yanfu Chen; Zihao Yang; Jizu Huang; Xiaofei Guan (Comput. Math. Appl., 2024)

A semi-implicit stochastic multiscale method for radiative heat transfer problem. - Shan Zhang; Yajun Wang; Xiaofei Guan (CoRR, 2024)

Localized subspace iteration methods for elliptic multiscale problems. - Xiaofei Guan; Lijian Jiang; Yajun Wang; Zihao Yang (CoRR, 2024)

A multiscale analysis-assisted two-stage reduced-order deep learning approach for effective thermal conductivity of arbitrary contrast heterogeneous materials. - Zihao Yang; Xixin Wu; Xindang He; Xiaofei Guan (Eng. Appl. Artif. Intell., 2024)

Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems. - Xiaofei Guan; Xintong Wang; Hao Wu 035; Zihao Yang; Peng Yu (Mach. Learn. Sci. Technol., 2024)

Regularized coupling multiscale method for thermomechanical coupled problems. - Xiaofei Guan; Lijian Jiang; Yajun Wang (J. Comput. Phys., 2024)

Physics descriptors enhanced Bayesian learning method for permeability of random media under sparse data. - Hang Qi; Xiaofei Guan; Qing Chen; Zhengwu Jiang; Fang Liu; Jieqiong Zhang; Hehua Zhu (Eng. Appl. Artif. Intell., 2025)

TE/TM Pattern Recognition Based on Convolutional Neural Network. - Mingxin Chu; Peng Yu; Ping Che; Xiaofei Guan (IEEE Geosci. Remote. Sens. Lett., 2025)

Multiscale Method and Convergence Analysis for Coupled Nonlinear Thermomechanical Problems in Heterogeneous Shells. - Hao Dong; Xiaofei Guan; Yufeng Nie (SIAM J. Sci. Comput., 2025)

A Semi-implicit Stochastic Multiscale Method for Radiative Heat Transfer Problem in Composite Materials. - Shan Zhang; Yajun Wang; Xiaofei Guan (J. Sci. Comput., 2025)

Flow-based linear embedding for Bayesian filtering of nonlinear stochastic dynamical systems. - Xintong Wang; Xiaofei Guan; Ling Guo; Hao Wu (CoRR, 2025)

A Bayesian approach for inverse potential problem with topological-Gaussian prior. - Zhiliang Deng; Xiaofei Guan; Haiyang Liu; Zhiyuan Wang; Xiaomei Yang (CoRR, 2025)

Multiphysics embedding localized orthogonal decomposition for thermomechanical coupling problems. - Yuzhou Nan; Yajun Wang; Changqing Ye; Xiaofei Guan (CoRR, 2025)

Two-scale Analysis for Multiscale Landau-Lifshitz-Gilbert Equation: Theory and Numerical Methods. - Xiaofei Guan; Hang Qi; Zhiwei Sun (J. Sci. Comput., 2025)