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ORCIDZhiwen Zhang 0001
Person information
- affiliation: The University of Hong Kong, Hong Kong, China
Other persons with the same name
- Zhiwen Zhang — disambiguation page
- Zhiwen Zhang 0002
![[0000-0003-3791-6306]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3791-6306")
— Henan University of Science and Technology, Luoyang, China - Zhiwen Zhang 0003 — Nanjing Normal University, Nanjing, China
- Zhiwen Zhang 0004 — Jilin University, Changchun, China
- Zhiwen Zhang 0005 — Sun Yat-Sen University, Guangzhou, China
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Journal Articles
- 2024
[j33]Zhizhang Wu, Cheng Zhang, Zhiwen Zhang:
Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems. J. Comput. Appl. Math. 441: 115659 (2024)- [j32]Yue Xie, Zhongjian Wang, Zhiwen Zhang:
Randomized Methods for Computing Optimal Transport Without Regularization and Their Convergence Analysis. J. Sci. Comput. 100(2): 37 (2024) - [j31]Zhizhang Wu, Zhiwen Zhang, Xiaofei Zhao:
Error Estimate of a Quasi-Monte Carlo Time-Splitting Pseudospectral Method for Nonlinear Schrödinger Equation with Random Potentials. SIAM/ASA J. Uncertain. Quantification 12(1): 1-29 (2024) - 2023
- [j30]Zhongjian Wang, Wenlong Zhang, Zhiwen Zhang:
A data-driven model reduction method for parabolic inverse source problems and its convergence analysis. J. Comput. Phys. 487: 112156 (2023) - [j29]Sijing Li, Cheng Zhang, Zhiwen Zhang, Hongkai Zhao:
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. Stat. Comput. 33(4): 90 (2023) - [j28]Sijing Li, Zhongjian Wang, Stephen S.-T. Yau, Zhiwen Zhang:
Solving Nonlinear Filtering Problems Using a Tensor Train Decomposition Method. IEEE Trans. Autom. Control. 68(7): 4405-4412 (2023) - 2022
- [j27]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. J. Comput. Phys. 464: 111309 (2022) - [j26]Zhizhang Wu, Zhiwen Zhang:
Convergence Analysis of the Localized Orthogonal Decomposition Method for the Semiclassical Schrödinger Equations with Multiscale Potentials. J. Sci. Comput. 93(2): 73 (2022) - [j25]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A Convergent Interacting Particle Method and Computation of KPP Front Speeds in Chaotic Flows. SIAM J. Numer. Anal. 60(3): 1136-1167 (2022) - 2021
- [j24]Shuqing Chai, Zhen Zhang, Zhiwen Zhang:
A second order accuracy preserving method for moving contact lines with Stokes flow. J. Comput. Phys. 445: 110607 (2021) - [j23]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Sharp Error Estimates on a Stochastic Structure-Preserving Scheme in Computing Effective Diffusivity of 3D Chaotic Flows. Multiscale Model. Simul. 19(3): 1167-1189 (2021) - [j22]Haotian Gu, Jack Xin, Zhiwen Zhang:
Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows. SIAM J. Sci. Comput. 43(1): A636-A662 (2021) - 2020
- [j21]Sini Guo, Wai-Ki Ching, Wai-Keung Li, Tak Kuen Siu, Zhiwen Zhang:
Fuzzy hidden Markov-switching portfolio selection with capital gain tax. Expert Syst. Appl. 149: 113304 (2020) - [j20]Dingjiong Ma, Wai-Ki Ching, Zhiwen Zhang:
Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients. J. Comput. Appl. Math. 370 (2020) - [j19]Zhongjian Wang, Zhiwen Zhang:
A mesh-free method for interface problems using the deep learning approach. J. Comput. Phys. 400 (2020) - [j18]Sijing Li, Zhiwen Zhang, Hongkai Zhao:
A Data-Driven Approach for Multiscale Elliptic PDEs with Random Coefficients Based on Intrinsic Dimension Reduction. Multiscale Model. Simul. 18(3): 1242-1271 (2020) - [j17]Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials. Multiscale Model. Simul. 18(4): 1409-1434 (2020) - [j16]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows. SIAM J. Numer. Anal. 58(5): 3040-3067 (2020) - [j15]Zhongjian Wang, Xue Luo, Stephen S.-T. Yau, Zhiwen Zhang:
Proper Orthogonal Decomposition Method to Nonlinear Filtering Problems in Medium-High Dimension. IEEE Trans. Autom. Control. 65(4): 1613-1624 (2020) - 2019
- [j14]Eric T. Chung, Sai-Mang Pun, Zhiwen Zhang:
An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations. J. Comput. Appl. Math. 356: 302-313 (2019) - [j13]Jingrun Chen, Ling Lin, Zhiwen Zhang, Xiang Zhou:
Estimation of exciton diffusion lengths of organic semiconductors in random domains. J. Comput. Phys. 376: 894-912 (2019) - [j12]Thomas Y. Hou, Dingjiong Ma, Zhiwen Zhang:
A Model Reduction Method for Multiscale Elliptic Pdes with Random Coefficients Using an Optimization Approach. Multiscale Model. Simul. 17(2): 826-853 (2019) - [j11]Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A Multiscale Finite Element Method for the Schrödinger Equation with Multiscale Potentials. SIAM J. Sci. Comput. 41(5): B1115-B1136 (2019) - 2018
- [j10]Sini Guo, Xiang Li, Wai-Ki Ching, Dan A. Ralescu, Wai-Keung Li, Zhiwen Zhang:
GPS trajectory data segmentation based on probabilistic logic. Int. J. Approx. Reason. 103: 227-247 (2018) - [j9]Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Zhiwen Zhang:
Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients. J. Comput. Phys. 371: 606-617 (2018) - [j8]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Computing Effective Diffusivity of Chaotic and Stochastic Flows Using Structure-Preserving Schemes. SIAM J. Numer. Anal. 56(4): 2322-2344 (2018) - 2015
- [j7]Zhiwen Zhang, Maolin Ci, Thomas Y. Hou:
A Multiscale Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients. Multiscale Model. Simul. 13(1): 173-204 (2015) - 2013
- [j6]Mulin Cheng, Thomas Y. Hou, Zhiwen Zhang:
A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations II: Adaptivity and generalizations. J. Comput. Phys. 242: 753-776 (2013) - [j5]Mulin Cheng, Thomas Y. Hou, Zhiwen Zhang:
A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations I: Derivation and algorithms. J. Comput. Phys. 242: 843-868 (2013) - [j4]Mulin Cheng, Thomas Y. Hou, Mike P. Yan, Zhiwen Zhang:
A Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients. SIAM/ASA J. Uncertain. Quantification 1(1): 452-493 (2013) - 2011
- [j3]Houde Han, Zhiwen Zhang:
Adaptive artificial boundary condition for the two-level Schrödinger equation with conical crossings. J. Comput. Phys. 230(4): 1319-1334 (2011) - [j2]Shi Jin, Peng Qi, Zhiwen Zhang:
An Eulerian Surface Hopping Method for the Schrödinger Equation with Conical Crossings. Multiscale Model. Simul. 9(1): 258-281 (2011) - 2008
- [j1]Houde Han, Zhiwen Zhang:
Split local absorbing conditions for one-dimensional nonlinear Klein-Gordon equation on unbounded domain. J. Comput. Phys. 227(20): 8992-9004 (2008)
Informal and Other Publications
- 2024
- [i27]Zhizhang Wu, Renaud Raquépas, Jack Xin, Zhiwen Zhang:
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 abs/2403.19223 (2024) - [i26]Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A structure-preserving scheme for computing effective diffusivity and anomalous diffusion phenomena of random flows. CoRR abs/2405.19003 (2024) - [i25]Wenlong Zhang, Zhiwen Zhang:
A novel model reduction method to solve inverse problems of parabolic type. CoRR abs/2406.02119 (2024) - [i24]Boyi Hu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A Stochastic Interacting Particle-Field Algorithm for a Haptotaxis Advection-Diffusion System Modeling Cancer Cell Invasion. CoRR abs/2407.05626 (2024) - 2023
- [i23]Tan Zhang, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A convergent interacting particle method for computing KPP front speeds in random flows. CoRR abs/2308.14479 (2023) - [i22]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System. CoRR abs/2309.13554 (2023) - [i21]Zhongjian Wang, Wenlong Zhang, Zhiwen Zhang:
Stochastic convergence of regularized solutions for backward heat conduction problems. CoRR abs/2311.03623 (2023) - [i20]Zhizhang Wu, Zhiwen Zhang, Xiaofei Zhao:
Error estimate of a quasi-Monte Carlo time-splitting pseudospectral method for nonlinear Schrodinger equation with random potentials. CoRR abs/2311.11336 (2023) - 2022
- [i19]Xiaoli Chen, Phoebus Rosakis, Zhizhang Wu, Zhiwen Zhang:
A Deep Learning Approach to Nonconvex Energy Minimization for Martensitic Phase Transitions. CoRR abs/2206.13937 (2022) - [i18]Zhizhang Wu, Ivan G. Graham, Dingjiong Ma, Zhiwen Zhang:
A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation. CoRR abs/2208.10078 (2022) - [i17]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems. CoRR abs/2209.00109 (2022) - [i16]Tiangang Cui, Zhongjian Wang, Zhiwen Zhang:
A variational neural network approach for glacier modelling with nonlinear rheology. CoRR abs/2209.02088 (2022) - [i15]Yanfang Liu, Zhizhang Wu, Jiguang Sun, Zhiwen Zhang:
Deterministic-Statistical Approach for an Inverse Acoustic Source Problem using Multiple Frequency Limited Aperture Data. CoRR abs/2209.08222 (2022) - 2021
- [i14]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
A convergent interacting particle method and computation of KPP front speeds in chaotic flows. CoRR abs/2103.14796 (2021) - [i13]Sijing Li, Cheng Zhang, Zhiwen Zhang, Hongkai Zhao:
A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. CoRR abs/2104.13070 (2021) - [i12]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. CoRR abs/2106.00953 (2021) - [i11]Zhizhang Wu, Zhiwen Zhang:
Convergence analysis of an operator-compressed multiscale finite element method for Schrödinger equations with multiscale potentials. CoRR abs/2109.09429 (2021) - [i10]Zhongjian Wang, Wenlong Zhang, Zhiwen Zhang:
A data-driven model reduction method for parabolic inverse source problems and its convergence analysis. CoRR abs/2110.07676 (2021) - [i9]Zhongjian Wang, Jack Xin, Zhiwen Zhang:
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method. CoRR abs/2111.01356 (2021) - 2019
- [i8]Zhongjian Wang, Zhiwen Zhang:
A mesh-free method for interface problems using the deep learning approach. CoRR abs/1901.00618 (2019) - [i7]Junlong Lyu, Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows. CoRR abs/1906.08927 (2019) - [i6]Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A multiscale reduced basis method for Schrödinger equation with multiscale and random potentials. CoRR abs/1907.00349 (2019) - [i5]Sijing Li, Zhiwen Zhang, Hongkai Zhao:
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction. CoRR abs/1907.00806 (2019) - [i4]Sijing Li, Zhongjian Wang, Stephen S.-T. Yau, Zhiwen Zhang:
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method. CoRR abs/1908.04010 (2019) - [i3]Thomas Y. Hou, Zhongjian Wang, Zhiwen Zhang:
A class of robust numerical methods for solving dynamical systems with multiple time scales. CoRR abs/1909.04289 (2019) - [i2]Jingrun Chen, Sijing Li, Zhiwen Zhang:
Efficient multiscale methods for the semiclassical Schrödinger equation with time-dependent potentials. CoRR abs/1909.07203 (2019) - [i1]Liyao Lyu, Zhiwen Zhang, Jingrun Chen:
Connecting exciton diffusion with surface roughness via deep learning. CoRR abs/1910.14209 (2019)
Coauthor Index
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