Lijian Jiang

According to our database, Lijian Jiang authored at least 42 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Perron-Frobenius Operator Filter for Stochastic Dynamical Systems.

Ningxin Liu, Lijian Jiang

SIAM/ASA J. Uncertain. Quantification, March, 2024

Conditional variational autoencoder with Gaussian process regression recognition for parametric models.

Xuehan Zhang, Lijian Jiang

J. Comput. Appl. Math., March, 2024

Regularized coupling multiscale method for thermomechanical coupled problems.

Xiaofei Guan, Lijian Jiang, Yajun Wang

J. Comput. Phys., February, 2024

Estimate of Koopman modes and eigenvalues with Kalman Filter.

Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang

CoRR, 2024

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy.

Dengfei Zeng, Lijian Jiang

CoRR, 2024

Convolutional neural network based reduced order modeling for multiscale problems.

Xuhan Zhang, Lijian Jiang

CoRR, 2024

Localized subspace iteration methods for elliptic multiscale problems.

Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang

CoRR, 2024

2023

Data-driven probability density forecast for stochastic dynamical systems.

Meng Zhao, Lijian Jiang

J. Comput. Phys., November, 2023

Data-driven reduced-order modeling for nonautonomous dynamical systems in multiscale media.

Mengnan Li, Lijian Jiang

J. Comput. Phys., February, 2023

Multiscale model reduction for stochastic elasticity problems using ensemble variable-separated method.

Xiaofei Guan, Lijian Jiang, Yajun Wang

J. Comput. Appl. Math., 2023

A coupling generalized multiscale finite element method for coupled thermomechanical problems.

Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang

CoRR, 2023

2022

Online Multiscale Model Reduction for Nonlinear Stochastic PDEs with Multiplicative Noise.

Lijian Jiang, Mengnan Li, Meng Zhao

Multiscale Model. Simul., September, 2022

Correcting noisy dynamic mode decomposition with Kalman filters.

Lijian Jiang, Ningxin Liu

J. Comput. Phys., 2022

A residual-driven adaptive Gaussian mixture approximation for Bayesian inverse problems.

Yuming Ba, Lijian Jiang

J. Comput. Appl. Math., 2022

Reduced-order modeling for Koopman operators of nonautonomous dynamic systems in multiscale media.

Mengnan Li, Lijian Jiang

CoRR, 2022

2021

Deep learning nonlinear multiscale dynamic problems using Koopman operator.

Mengnan Li, Lijian Jiang

J. Comput. Phys., 2021

A two-stage variable-separation Kalman filter for data assimilation.

Yuming Ba, Lijian Jiang

J. Comput. Phys., 2021

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

Variational Bayesian inversion for the reaction coefficient in space-time nonlocal diffusion equations.

Xiaoyan Song, Guang-Hui Zheng, Lijian Jiang

Adv. Comput. Math., 2021

2020

A Low-Rank Approximated Multiscale Method for Pdes With Random Coefficients.

Na Ou, Guang Lin, Lijian Jiang

Multiscale Model. Simul., 2020

Implicit sampling for hierarchical Bayesian inversion and applications in fractional multiscale diffusion models.

Xiaoyan Song, Lijian Jiang, Guang-Hui Zheng

J. Comput. Appl. Math., 2020

2019

A Constraint Energy Minimizing Generalized Multiscale Finite Element Method for Parabolic Equations.

Mengnan Li, Eric T. Chung, Lijian Jiang

Multiscale Model. Simul., 2019

A multiscale virtual element method for elliptic problems in heterogeneous porous media.

Qiuqi Li, Lijian Jiang

J. Comput. Phys., 2019

Identification of the reaction coefficient in time fractional diffusion equations.

Xiaoyan Song, Guang-Hui Zheng, Lijian Jiang

J. Comput. Appl. Math., 2019

2018

Bayesian Inference Using Intermediate Distribution Based on Coarse Multiscale Model for Time Fractional Diffusion Equations.

Lijian Jiang, Na Ou

Multiscale Model. Simul., 2018

Adaptive Least-Squares Mixed Generalized Multiscale Finite Element Methods.

Fuchen Chen, Eric T. Chung, Lijian Jiang

Multiscale Model. Simul., 2018

Model reduction method using variable-separation for stochastic saddle point problems.

Lijian Jiang, Qiuqi Li

J. Comput. Phys., 2018

A two-stage ensemble Kalman filter based on multiscale model reduction for inverse problems in time fractional diffusion-wave equations.

Yuming Ba, Lijian Jiang, Na Ou

J. Comput. Phys., 2018

Convergence analysis for GMsFEM approximation of elliptic eigenvalue problems.

Lingling Ma, Lijian Jiang

J. Comput. Appl. Math., 2018

2017

A Novel Variable-Separation Method Based on Sparse and Low Rank Representation for Stochastic Partial Differential Equations.

Qiuqi Li, Lijian Jiang

SIAM J. Sci. Comput., 2017

Model's sparse representation based on reduced mixed GMsFE basis methods.

Lijian Jiang, Qiuqi Li

J. Comput. Phys., 2017

Multiscale model reduction method for Bayesian inverse problems of subsurface flow.

Lijian Jiang, Na Ou

J. Comput. Appl. Math., 2017

2016

A reduced order method for Allen-Cahn equations.

Huailing Song, Lijian Jiang, Qiuqi Li

J. Comput. Appl. Math., 2016

Reduced multiscale finite element basis methods for elliptic PDEs with parameterized inputs.

Lijian Jiang, Qiuqi Li

J. Comput. Appl. Math., 2016

2015

Multi-element least square HDMR methods and their applications for stochastic multiscale model reduction.

Lijian Jiang, Xinping Li

J. Comput. Phys., 2015

2014

A Hybrid HDMR for Mixed Multiscale Finite Element Methods with Application to Flows in Random Porous Media.

Lijian Jiang, J. David Moulton, Jia Wei

Multiscale Model. Simul., 2014

Convergence analysis of hybrid expanded mixed finite element method for elliptic equations.

Huailing Song, Lijian Jiang, Gaojie Chen

Comput. Math. Appl., 2014

2013

An upscaling method using coefficient splitting and its applications to elliptic PDEs.

Xinguang He, Lijian Jiang

Comput. Math. Appl., 2013

2012

A Resourceful Splitting Technique with Applications to Deterministic and Stochastic Multiscale Finite Element Methods.

Lijian Jiang, Michael Presho

Multiscale Model. Simul., 2012

Expanded Mixed Multiscale Finite Element Methods and Their Applications for Flows in Porous Media.

Lijian Jiang, Dylan Copeland, J. David Moulton

Multiscale Model. Simul., 2012

2009

An analysis of 4D variational data assimilation and its application.

Lijian Jiang, Craig C. Douglas

Computing, 2009

2008

Mixed Multiscale Finite Element Methods Using Limited Global Information.

Jørg E. Aarnes, Yalchin Efendiev, Lijian Jiang

Multiscale Model. Simul., 2008