Zhiwen Zhang - RankMe

87 papers Journal 87

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A dynamic mode decomposition-based Kalman filter for Bayesian inverse problem of nonlinear dynamical systems. J. Comput. Appl. Math. Yuming Ba, Qiuqi Li, Zhiwen Zhang
2026	J	`jnl`	Neural network Poisson-Boltzmann electrostatics for biomolecular interactions. J. Comput. Phys. Zunding Huang, Bo Li, Zhongming Wang, Zhiwen Zhang
2026	J	`jnl`	Pre-classification based stochastic reduced-order model for time-dependent complex system. Comput. Math. Appl. Meixin Xiong, Liuhong Chen, Yulan Ning, Ju Ming, Zhiwen Zhang
2025	J	`jnl`	A Convergent Interacting Particle Method for Computing KPP Front Speeds in Random Flows. SIAM/ASA J. Uncertain. Quantification Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A DeepLagrangian method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. CoRR Yani Feng, Michael K. Ng, Zhiwen Zhang
2025	J	`jnl`	A Novel Model Reduction Method for Parabolic Inverse Problems Without Inverse Crime. J. Sci. Comput. Wenlong Zhang, Zhiwen Zhang
2025	J	`jnl`	A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. J. Sci. Comput. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A Stochastic Genetic Interacting Particle Method for Reaction-Diffusion-Advection Equations. CoRR Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A fast stochastic interacting particle-field method for 3D parabolic parabolic Chemotaxis systems: numerical algorithms and error analysis. CoRR Jingyuan Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	A model reduction method for solving the eigenvalue problem of semiclassical random Schrödinger operators. CoRR Panchi Li, Zhiwen Zhang
2025	J	`jnl`	A quasi-Monte Carlo multiscale method for the wave propagation in random media. CoRR Panchi Li, Zhiwen Zhang
2025	J	`jnl`	Adaptive Nonoverlapping Preconditioners for the Helmholtz Equation. CoRR Yi Yu, Marcus Sarkis, Guanglian Li, Zhiwen Zhang
2025	J	`jnl`	Computing Large Deviation Rate Functions of Entropy Production for Diffusion Processes by an Interacting Particle Method. SIAM J. Sci. Comput. Zhizhang Wu, Renaud Raquépas, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	Convergence Analysis of a Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Systems. CoRR Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2025	J	`jnl`	Discontinuous extreme learning machine for interface and free boundary problems. J. Comput. Phys. Anci Lin, Zhiwen Zhang, Weidong Zhao, Wenju Zhao
2025	J	`jnl`	Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials. CoRR Panchi Li, Zhiwen Zhang
2025	J	`jnl`	Finite Element Approximation of Stationary Fokker-Planck-Kolmogorov Equations with Application to Periodic Numerical Homogenization. SIAM J. Numer. Anal. Timo Sprekeler, Endre Süli, Zhiwen Zhang
2025	J	`jnl`	Functional tensor train neural network for solving high-dimensional PDEs. CoRR Yani Feng, Michael K. Ng, Kejun Tang, Zhiwen Zhang
2025	J	`jnl`	Numerical approximation of effective diffusivities in homogenization of nondivergence-form equations with large drift by a Lagrangian method. CoRR Timo Sprekeler, Han Wu, Zhiwen Zhang
2025	J	`jnl`	Operator Inference for Elliptic Eigenvalue Problems. CoRR Haoqian Li, Jiguang Sun, Zhiwen Zhang
2025	J	`jnl`	Quasi-Monte Carlo time-splitting methods for Schrödinger equation with Gaussian random potential. CoRR Zhizhang Wu, Zhiwen Zhang, Xiaofei Zhao
2025	J	`jnl`	Regularity estimate and sparse approximation of pathwise robust Duncan-Mortensen-Zakai equation. CoRR Yuhua Meng, Zhongjian Wang, Stephen S. T. Yau, Zhiwen Zhang
2024	J	`jnl`	A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation. Math. Comput. Zhizhang Wu, Ivan G. Graham, Dingjiong Ma, Zhiwen Zhang
2024	J	`jnl`	A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion. CoRR Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2024	J	`jnl`	A novel model reduction method to solve inverse problems of parabolic type. CoRR Wenlong Zhang, Zhiwen Zhang
2024	J	`jnl`	A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. CoRR Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2024	J	`jnl`	Cointegration test in time series analysis by global optimisation. CoRR Alvey Qianli Lin, Zhiwen Zhang
2024	J	`jnl`	Computing large deviation rate functions of entropy production for diffusion processes in the vanishing-noise limit and high dimensions by an interacting particle method. CoRR Zhizhang Wu, Renaud Raquépas, Jack Xin, Zhiwen Zhang
2024	J	`jnl`	Error Estimate of a Quasi-Monte Carlo Time-Splitting Pseudospectral Method for Nonlinear Schrödinger Equation with Random Potentials. SIAM/ASA J. Uncertain. Quantification Zhizhang Wu, Zhiwen Zhang, Xiaofei Zhao
2024	J	`jnl`	Finite element approximation of stationary Fokker-Planck-Kolmogorov equations with application to periodic numerical homogenization. CoRR Timo Sprekeler, Endre Süli, Zhiwen Zhang
2024	J	`jnl`	Randomized Methods for Computing Optimal Transport Without Regularization and Their Convergence Analysis. J. Sci. Comput. Yue Xie, Zhongjian Wang, Zhiwen Zhang
2024	J	`jnl`	Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems. J. Comput. Appl. Math. Zhizhang Wu, Cheng Zhang, Zhiwen Zhang
2023	J	`jnl`	A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2023	J	`jnl`	A convergent interacting particle method for computing KPP front speeds in random flows. CoRR Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2023	J	`jnl`	A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. Stat. Comput. Sijing Li, Cheng Zhang, Zhiwen Zhang, Hongkai Zhao
2023	J	`jnl`	A data-driven model reduction method for parabolic inverse source problems and its convergence analysis. J. Comput. Phys. Zhongjian Wang, Wenlong Zhang, Zhiwen Zhang
2023	J	`jnl`	A dynamically bi-orthogonal solution method for a stochastic Lighthill-Whitham-Richards traffic flow model. Comput. Aided Civ. Infrastructure Eng. Tianxiang Fan, Sze Chun Wong, Zhiwen Zhang, Jie Du
2023	J	`jnl`	Error estimate of a quasi-Monte Carlo time-splitting pseudospectral method for nonlinear Schrodinger equation with random potentials. CoRR Zhizhang Wu, Zhiwen Zhang, Xiaofei Zhao
2023	J	`jnl`	Solving Nonlinear Filtering Problems Using a Tensor Train Decomposition Method. IEEE Trans. Autom. Control. Sijing Li, Zhongjian Wang, Stephen S.-T. Yau, Zhiwen Zhang
2023	J	`jnl`	Stochastic convergence of regularized solutions for backward heat conduction problems. CoRR Zhongjian Wang, Wenlong Zhang, Zhiwen Zhang
2022	J	`jnl`	A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. SIAM J. Numer. Anal. Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2022	J	`jnl`	A Deep Learning Approach to Nonconvex Energy Minimization for Martensitic Phase Transitions. CoRR Xiaoli Chen, Phoebus Rosakis, Zhizhang Wu, Zhiwen Zhang
2022	J	`jnl`	A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2022	J	`jnl`	A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation. CoRR Zhizhang Wu, Ivan G. Graham, Dingjiong Ma, Zhiwen Zhang
2022	J	`jnl`	A variational neural network approach for glacier modelling with nonlinear rheology. CoRR Tiangang Cui, Zhongjian Wang, Zhiwen Zhang
2022	J	`jnl`	Convergence Analysis of the Localized Orthogonal Decomposition Method for the Semiclassical Schrödinger Equations with Multiscale Potentials. J. Sci. Comput. Zhizhang Wu, Zhiwen Zhang
2022	J	`jnl`	DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. J. Comput. Phys. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2022	J	`jnl`	Deterministic-Statistical Approach for an Inverse Acoustic Source Problem using Multiple Frequency Limited Aperture Data. CoRR Yanfang Liu, Zhizhang Wu, Jiguang Sun, Zhiwen Zhang
2022	J	`jnl`	Pre-classification based stochastic reduced-order model for time-dependent complex system. CoRR Meixin Xiong, Liuhong Chen, Ju Ming, Zhiwen Zhang
2021	J	`jnl`	A convergent interacting particle method and computation of KPP front speeds in chaotic flows. CoRR Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. CoRR Sijing Li, Cheng Zhang, Zhiwen Zhang, Hongkai Zhao
2021	J	`jnl`	A data-driven model reduction method for parabolic inverse source problems and its convergence analysis. CoRR Zhongjian Wang, Wenlong Zhang, Zhiwen Zhang
2021	J	`jnl`	A second order accuracy preserving method for moving contact lines with Stokes flow. J. Comput. Phys. Shuqing Chai, Zhen Zhang, Zhiwen Zhang
2021	J	`jnl`	Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	Convergence analysis of an operator-compressed multiscale finite element method for Schrödinger equations with multiscale potentials. CoRR Zhizhang Wu, Zhiwen Zhang
2021	J	`jnl`	DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. CoRR Zhongjian Wang, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows. SIAM J. Sci. Comput. Haotian Gu, Jack Xin, Zhiwen Zhang
2021	J	`jnl`	Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows. Multiscale Model. Simul. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2020	J	`jnl`	A Data-Driven Approach for Multiscale Elliptic PDEs with Random Coefficients Based on Intrinsic Dimension Reduction. Multiscale Model. Simul. Sijing Li, Zhiwen Zhang, Hongkai Zhao
2020	J	`jnl`	A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials. Multiscale Model. Simul. Jingrun Chen, Dingjiong Ma, Zhiwen Zhang
2020	J	`jnl`	A mesh-free method for interface problems using the deep learning approach. J. Comput. Phys. Zhongjian Wang, Zhiwen Zhang
2020	J	`jnl`	Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. SIAM J. Numer. Anal. Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2020	J	`jnl`	Fuzzy hidden Markov-switching portfolio selection with capital gain tax. Expert Syst. Appl. Sini Guo, Wai-Ki Ching, Wai-Keung Li, Tak Kuen Siu, Zhiwen Zhang
2020	J	`jnl`	Proper Orthogonal Decomposition Method to Nonlinear Filtering Problems in Medium-High Dimension. IEEE Trans. Autom. Control. Zhongjian Wang, Xue Luo, Stephen S.-T. Yau, Zhiwen Zhang
2020	J	`jnl`	Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients. J. Comput. Appl. Math. Dingjiong Ma, Wai-Ki Ching, Zhiwen Zhang
2019	J	`jnl`	A Model Reduction Method for Multiscale Elliptic Pdes with Random Coefficients Using an Optimization Approach. Multiscale Model. Simul. Thomas Y. Hou, Dingjiong Ma, Zhiwen Zhang
2019	J	`jnl`	A Multiscale Finite Element Method for the Schrödinger Equation with Multiscale Potentials. SIAM J. Sci. Comput. Jingrun Chen, Dingjiong Ma, Zhiwen Zhang
2019	J	`jnl`	A class of robust numerical methods for solving dynamical systems with multiple time scales. CoRR Thomas Y. Hou, Zhongjian Wang, Zhiwen Zhang
2019	J	`jnl`	A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction. CoRR Sijing Li, Zhiwen Zhang, Hongkai Zhao
2019	J	`jnl`	A mesh-free method for interface problems using the deep learning approach. CoRR Zhongjian Wang, Zhiwen Zhang
2019	J	`jnl`	A multiscale reduced basis method for Schrödinger equation with multiscale and random potentials. CoRR Jingrun Chen, Dingjiong Ma, Zhiwen Zhang
2019	J	`jnl`	An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations. J. Comput. Appl. Math. Eric T. Chung, Sai-Mang Pun, Zhiwen Zhang
2019	J	`jnl`	Connecting exciton diffusion with surface roughness via deep learning. CoRR Liyao Lyu, Zhiwen Zhang, Jingrun Chen
2019	J	`jnl`	Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. CoRR Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang
2019	J	`jnl`	Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials. CoRR Jingrun Chen, Sijing Li, Zhiwen Zhang
2019	J	`jnl`	Estimation of exciton diffusion lengths of organic semiconductors in random domains. J. Comput. Phys. Jingrun Chen, Ling Lin, Zhiwen Zhang, Xiang Zhou
2019	J	`jnl`	Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method. CoRR Sijing Li, Zhongjian Wang, Stephen S.-T. Yau, Zhiwen Zhang
2018	J	`jnl`	Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients. J. Comput. Phys. Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Zhiwen Zhang
2018	J	`jnl`	Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. SIAM J. Numer. Anal. Zhongjian Wang, Jack Xin, Zhiwen Zhang
2018	J	`jnl`	GPS trajectory data segmentation based on probabilistic logic. Int. J. Approx. Reason. Sini Guo, Xiang Li, Wai-Ki Ching, Dan A. Ralescu, Wai-Keung Li, Zhiwen Zhang
2015	J	`jnl`	A Multiscale Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients. Multiscale Model. Simul. Zhiwen Zhang, Maolin Ci, Thomas Y. Hou
2013	J	`jnl`	A Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients. SIAM/ASA J. Uncertain. Quantification Mulin Cheng, Thomas Y. Hou, Mike P. Yan, Zhiwen Zhang
2013	J	`jnl`	A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations I: Derivation and algorithms. J. Comput. Phys. Mulin Cheng, Thomas Y. Hou, Zhiwen Zhang
2013	J	`jnl`	A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations II: Adaptivity and generalizations. J. Comput. Phys. Mulin Cheng, Thomas Y. Hou, Zhiwen Zhang
2011	J	`jnl`	Adaptive artificial boundary condition for the two-level Schrödinger equation with conical crossings. J. Comput. Phys. Houde Han, Zhiwen Zhang
2011	J	`jnl`	An Eulerian Surface Hopping Method for the Schrödinger Equation with Conical Crossings. Multiscale Model. Simul. Shi Jin, Peng Qi, Zhiwen Zhang
2008	J	`jnl`	Split local absorbing conditions for one-dimensional nonlinear Klein-Gordon equation on unbounded domain. J. Comput. Phys. Houde Han, Zhiwen Zhang