Lijian Jiang - RankMe

52 papers Journal 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ensemble transport filter via optimized maximum mean discrepancy. J. Comput. Phys. Dengfei Zeng, Lijian Jiang
2026	J	`jnl`	Estimate of Koopman Modes and Eigenvalues with Kalman Filter. SIAM J. Sci. Comput. Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang
2026	J	`jnl`	Localized subspace iteration methods for multiscale problems. J. Comput. Phys. Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang
2025	J	`jnl`	Convolutional neural network based reduced order modeling for multiscale problems. J. Comput. Phys. Xuehan Zhang, Lijian Jiang
2025	J	`jnl`	Model free data assimilation with Takens embedding. J. Comput. Appl. Math. Ziyi Wang, Lijian Jiang
2025	J	`jnl`	Reinforcement learning based data assimilation for unknown state model. CoRR Ziyi Wang, Lijian Jiang
2024	J	`jnl`	Conditional variational autoencoder with Gaussian process regression recognition for parametric models. J. Comput. Appl. Math. Xuehan Zhang, Lijian Jiang
2024	J	`jnl`	Convolutional neural network based reduced order modeling for multiscale problems. CoRR Xuhan Zhang, Lijian Jiang
2024	J	`jnl`	Ensemble Transport Filter via Optimized Maximum Mean Discrepancy. CoRR Dengfei Zeng, Lijian Jiang
2024	J	`jnl`	Estimate of Koopman modes and eigenvalues with Kalman Filter. CoRR Ningxin Liu, Shuigen Liu, Xin T. Tong, Lijian Jiang
2024	J	`jnl`	Localized subspace iteration methods for elliptic multiscale problems. CoRR Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang
2024	J	`jnl`	Perron-Frobenius Operator Filter for Stochastic Dynamical Systems. SIAM/ASA J. Uncertain. Quantification Ningxin Liu, Lijian Jiang
2024	J	`jnl`	Regularized coupling multiscale method for thermomechanical coupled problems. J. Comput. Phys. Xiaofei Guan, Lijian Jiang, Yajun Wang
2023	J	`jnl`	A coupling generalized multiscale finite element method for coupled thermomechanical problems. CoRR Xiaofei Guan, Lijian Jiang, Yajun Wang, Zihao Yang
2023	J	`jnl`	Conditional variational autoencoder with Gaussian process regression recognition for parametric models. CoRR Xuehan Zhang, Lijian Jiang
2023	J	`jnl`	Data-driven probability density forecast for stochastic dynamical systems. J. Comput. Phys. Meng Zhao, Lijian Jiang
2023	J	`jnl`	Data-driven reduced-order modeling for nonautonomous dynamical systems in multiscale media. J. Comput. Phys. Mengnan Li, Lijian Jiang
2023	J	`jnl`	Multiscale model reduction for stochastic elasticity problems using ensemble variable-separated method. J. Comput. Appl. Math. Xiaofei Guan, Lijian Jiang, Yajun Wang
2023	J	`jnl`	Perron-Frobenius operator filter for stochastic dynamical systems. CoRR Ningxin Liu, Lijian Jiang
2022	J	`jnl`	A residual-driven adaptive Gaussian mixture approximation for Bayesian inverse problems. J. Comput. Appl. Math. Yuming Ba, Lijian Jiang
2022	J	`jnl`	Correcting noisy dynamic mode decomposition with Kalman filters. J. Comput. Phys. Lijian Jiang, Ningxin Liu
2022	J	`jnl`	Data-driven probability density forecast for stochastic dynamical systems. CoRR Meng Zhao, Lijian Jiang
2022	J	`jnl`	Online Multiscale Model Reduction for Nonlinear Stochastic PDEs with Multiplicative Noise. Multiscale Model. Simul. Lijian Jiang, Mengnan Li, Meng Zhao
2022	J	`jnl`	Online multiscale model reduction for nonlinear stochastic PDEs with multiplicative noise. CoRR Lijian Jiang, Mengnan Li, Meng Zhao
2022	J	`jnl`	Reduced-order modeling for Koopman operators of nonautonomous dynamic systems in multiscale media. CoRR Mengnan Li, Lijian Jiang
2021	J	`jnl`	A two-stage variable-separation Kalman filter for data assimilation. J. Comput. Phys. Yuming Ba, Lijian Jiang
2021	J	`jnl`	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. Shan Zhang, Xiaofei Guan, Lijian Jiang
2021	J	`jnl`	Deep learning nonlinear multiscale dynamic problems using Koopman operator. J. Comput. Phys. Mengnan Li, Lijian Jiang
2021	J	`jnl`	Variational Bayesian inversion for the reaction coefficient in space-time nonlocal diffusion equations. Adv. Comput. Math. Xiaoyan Song, Guang-Hui Zheng, Lijian Jiang
2020	J	`jnl`	A Low-Rank Approximated Multiscale Method for Pdes With Random Coefficients. Multiscale Model. Simul. Na Ou, Guang Lin, Lijian Jiang
2020	J	`jnl`	Implicit sampling for hierarchical Bayesian inversion and applications in fractional multiscale diffusion models. J. Comput. Appl. Math. Xiaoyan Song, Lijian Jiang, Guang-Hui Zheng
2019	J	`jnl`	A Constraint Energy Minimizing Generalized Multiscale Finite Element Method for Parabolic Equations. Multiscale Model. Simul. Mengnan Li, Eric T. Chung, Lijian Jiang
2019	J	`jnl`	A multiscale virtual element method for elliptic problems in heterogeneous porous media. J. Comput. Phys. Qiuqi Li, Lijian Jiang
2019	J	`jnl`	Identification of the reaction coefficient in time fractional diffusion equations. J. Comput. Appl. Math. Xiaoyan Song, Guang-Hui Zheng, Lijian Jiang
2018	J	`jnl`	A two-stage ensemble Kalman filter based on multiscale model reduction for inverse problems in time fractional diffusion-wave equations. J. Comput. Phys. Yuming Ba, Lijian Jiang, Na Ou
2018	J	`jnl`	Adaptive Least-Squares Mixed Generalized Multiscale Finite Element Methods. Multiscale Model. Simul. Fuchen Chen, Eric T. Chung, Lijian Jiang
2018	J	`jnl`	Bayesian Inference Using Intermediate Distribution Based on Coarse Multiscale Model for Time Fractional Diffusion Equations. Multiscale Model. Simul. Lijian Jiang, Na Ou
2018	J	`jnl`	Convergence analysis for GMsFEM approximation of elliptic eigenvalue problems. J. Comput. Appl. Math. Lingling Ma, Lijian Jiang
2018	J	`jnl`	Model reduction method using variable-separation for stochastic saddle point problems. J. Comput. Phys. Lijian Jiang, Qiuqi Li
2017	J	`jnl`	A Novel Variable-Separation Method Based on Sparse and Low Rank Representation for Stochastic Partial Differential Equations. SIAM J. Sci. Comput. Qiuqi Li, Lijian Jiang
2017	J	`jnl`	Model's sparse representation based on reduced mixed GMsFE basis methods. J. Comput. Phys. Lijian Jiang, Qiuqi Li
2017	J	`jnl`	Multiscale model reduction method for Bayesian inverse problems of subsurface flow. J. Comput. Appl. Math. Lijian Jiang, Na Ou
2016	J	`jnl`	A reduced order method for Allen-Cahn equations. J. Comput. Appl. Math. Huailing Song, Lijian Jiang, Qiuqi Li
2016	J	`jnl`	Reduced multiscale finite element basis methods for elliptic PDEs with parameterized inputs. J. Comput. Appl. Math. Lijian Jiang, Qiuqi Li
2015	J	`jnl`	Multi-element least square HDMR methods and their applications for stochastic multiscale model reduction. J. Comput. Phys. Lijian Jiang, Xinping Li
2014	J	`jnl`	A Hybrid HDMR for Mixed Multiscale Finite Element Methods with Application to Flows in Random Porous Media. Multiscale Model. Simul. Lijian Jiang, J. David Moulton, Jia Wei
2014	J	`jnl`	Convergence analysis of hybrid expanded mixed finite element method for elliptic equations. Comput. Math. Appl. Huailing Song, Lijian Jiang, Gaojie Chen
2013	J	`jnl`	An upscaling method using coefficient splitting and its applications to elliptic PDEs. Comput. Math. Appl. Xinguang He, Lijian Jiang
2012	J	`jnl`	A Resourceful Splitting Technique with Applications to Deterministic and Stochastic Multiscale Finite Element Methods. Multiscale Model. Simul. Lijian Jiang, Michael Presho
2012	J	`jnl`	Expanded Mixed Multiscale Finite Element Methods and Their Applications for Flows in Porous Media. Multiscale Model. Simul. Lijian Jiang, Dylan Copeland, J. David Moulton
2009	J	`jnl`	An analysis of 4D variational data assimilation and its application. Computing Lijian Jiang, Craig C. Douglas
2008	J	`jnl`	Mixed Multiscale Finite Element Methods Using Limited Global Information. Multiscale Model. Simul. Jørg E. Aarnes, Yalchin Efendiev, Lijian Jiang