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2020 – today
- 2025
[j15]Shan Zhang, Yajun Wang
, Xiaofei Guan:
A Semi-implicit Stochastic Multiscale Method for Radiative Heat Transfer Problem in Composite Materials. J. Sci. Comput. 102(1): 10 (2025)- 2024
- [j14]Rui He, Yanfu Chen, Zihao Yang, Jizu Huang, Xiaofei Guan:
Phase field smoothing-PINN: A neural network solver for partial differential equations with discontinuous coefficients. Comput. Math. Appl. 171: 188-203 (2024) - [j13]Zihao Yang, Xixin Wu, Xindang He, Xiaofei Guan:
A multiscale analysis-assisted two-stage reduced-order deep learning approach for effective thermal conductivity of arbitrary contrast heterogeneous materials. Eng. Appl. Artif. Intell. 136: 108916 (2024) - [j12]Xiaofei Guan, Lijian Jiang, Yajun Wang:
Regularized coupling multiscale method for thermomechanical coupled problems. J. Comput. Phys. 499: 112737 (2024) - [j11]Xiaofei Guan, Xintong Wang, Hao Wu, Zihao Yang, Peng Yu:
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems. Mach. Learn. Sci. Technol. 5(3): 35026 (2024) - [i9]Xiaofei Guan, Hang Qi, Zhiwei Sun:
Two-scale Analysis for Multiscale Landau-Lifshitz-Gilbert Equation: Theory and Numerical Methods. CoRR abs/2403.14957 (2024) - [i8]Shan Zhang, Yajun Wang, Xiaofei Guan:
A semi-implicit stochastic multiscale method for radiative heat transfer problem. CoRR abs/2406.09775 (2024) - [i7]Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang:
Localized subspace iteration methods for elliptic multiscale problems. CoRR abs/2406.09789 (2024) - 2023
- [j10]Xiaofei Guan, Lijian Jiang, Yajun Wang:
Multiscale model reduction for stochastic elasticity problems using ensemble variable-separated method. J. Comput. Appl. Math. 421: 114895 (2023) - [j9]Zihao Yang, Shaoqi Zheng, Fei Han, Xiaofei Guan, Jieqiong Zhang:
An adaptive coupling approach of local and non-local micromechanics. J. Comput. Phys. 489: 112277 (2023) - [i6]Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang:
A coupling generalized multiscale finite element method for coupled thermomechanical problems. CoRR abs/2302.01674 (2023) - [i5]Xiaofei Guan, Xintong Wang, Hao Wu:
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems. CoRR abs/2304.12541 (2023) - [i4]Xiaofei Guan, Boya Hu, Shipeng Mao, Xintong Wang:
MHDnet: Multi-modes multiscale physics informed neural networks for solving magnetohydrodynamics problems. CoRR abs/2305.07940 (2023) - [i3]Hao Dong, Xiaofei Guan, Yufeng Nie:
Higher-order multi-scale method for high-accuracy nonlinear thermo-mechanical simulation of heterogeneous shells. CoRR abs/2308.11364 (2023) - 2022
- [j8]Hao Dong, Zihao Yang, Xiaofei Guan, Junzhi Cui:
Stochastic higher-order three-scale strength prediction model for composite structures with micromechanical analysis. J. Comput. Phys. 465: 111352 (2022) - [j7]Zihao Yang, Jizu Huang, Xiaobing Feng, Xiaofei Guan:
An Efficient MultiModes Monte Carlo Homogenization Method for Random Materials. SIAM J. Sci. Comput. 44(1): 1752- (2022) - [c2]Nabila Brihmat, Mehmed Bugrahan Bayram, Didier Allexandre, Soha Saleh, Guang H. Yue, Xiaofei Guan, Jian Zhong, Gail F. Forrest:
High-Frequency rTMS Combined with Task-Specific Hand Motor Training Modulates Corticospinal Plasticity in Motor Complete Spinal Cord Injury: A case report. EMBC 2022: 2385-2389 - [i2]Zihao Yang, Jizu Huang, Xiaobing Feng, Xiaofei Guan:
An efficient multi-modes Monte Carlo homogenization method for random materials. CoRR abs/2203.05779 (2022) - 2021
- [j6]Shan Zhang, Xiaofei Guan, Lijian Jiang:
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. Appl. Math. 389: 113328 (2021) - [j5]Tingting Hao, Xiaofei Guan, Shipeng Mao, Shaochun Chen:
Computable Interpolation Error Constants for the Geometric Simplex Finite Elements. J. Sci. Comput. 87(1): 35 (2021)
2010 – 2019
- 2019
- [c1]Wenjing Zhou, Hongxia Shen, Xiaofei Guan, Yingjie Yu, Hongbo Zhang, Ting-Chung Poon:
Simulation Analysis on Phase Retrieval using Transport of Intensity with an Off-axis Hologram. ISIE 2019: 2419-2424 - 2018
- [i1]Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He:
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. CoRR abs/1811.11843 (2018) - 2016
- [j4]Hongbo Guan, Dongyang Shi, Xiaofei Guan:
High accuracy analysis of nonconforming MFEM for constrained optimal control problems governed by Stokes equations. Appl. Math. Lett. 53: 17-24 (2016) - 2014
- [j3]Mingxia Li, Xiaofei Guan, Shipeng Mao:
New error estimates of the Morley element for the plate bending problems. J. Comput. Appl. Math. 263: 405-416 (2014) - 2013
- [j2]Xiaofei Guan, Xiao-Ling Wang, Cheng Wang, Xian Liu:
Superconvergence Analysis of a Multiscale Finite Element Method for Elliptic Problems with Rapidly Oscillating Coefficients. J. Appl. Math. 2013: 764165:1-764165:8 (2013) - 2012
- [j1]Dongyang Shi, Hongbo Guan, Xiaofei Guan:
Superconvergence Analysis of Finite Element Method for a Second-Type Variational Inequality. J. Appl. Math. 2012: 156095:1-156095:12 (2012)
Coauthor Index
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