Zhu Wang - RankMe

57 papers Journal 56Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nonlinear Model Order Reduction on Quadratic Manifolds via Greedy Algorithms with Dimension-Dependent Regularization. CoRR Lijie Ji, Sabrina Rashid, Yanlai Chen, Zhu Wang
2025	J	`jnl`	Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference. CoRR Yuwei Geng, Lili Ju, Boris Kramer, Zhu Wang
2025	J	`jnl`	Expansive Natural Neural Gradient Flows for Energy Minimization. CoRR Wolfgang Dahmen, Wuchen Li, Yuankai Teng, Zhu Wang
2024	J	`jnl`	A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators. J. Comput. Phys. Yuwei Geng, Yuankai Teng, Zhu Wang, Lili Ju
2024	J	`jnl`	Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure. CoRR Yuwei Geng, Jasdeep Singh, Lili Ju, Boris Kramer, Zhu Wang
2023	J	`jnl`	A Multifidelity Monte Carlo Method for Realistic Computational Budgets. J. Sci. Comput. Anthony D. Gruber, Max D. Gunzburger, Lili Ju, Zhu Wang
2023	J	`jnl`	Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation. SIAM J. Sci. Comput. Yuankai Teng, Zhu Wang, Lili Ju, Anthony D. Gruber, Guannan Zhang
2022	J	`jnl`	A Multifidelity Monte Carlo Method for Realistic Computational Budgets. CoRR Anthony D. Gruber, Max D. Gunzburger, Lili Ju, Zhu Wang
2022	J	`jnl`	A ROM-accelerated parallel-in-time preconditioner for solving all-at-once systems in unsteady convection-diffusion PDEs. Appl. Math. Comput. Jun Liu, Zhu Wang
2022	J	`jnl`	A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations. J. Comput. Phys. Yanlai Chen, Lijie Ji, Zhu Wang
2022	J	`jnl`	An Efficient Iterative Method for Solving Parameter-Dependent and Random Convection-Diffusion Problems. J. Sci. Comput. Xiaobing Feng, Yan Luo, Liet Vo, Zhu Wang
2022	J	`jnl`	Energetically Consistent Model Reduction for Metriplectic Systems. CoRR Anthony D. Gruber, Max D. Gunzburger, Lili Ju, Zhu Wang
2022	J	`jnl`	High-order multirate explicit time-stepping schemes for the baroclinic-barotropic split dynamics in primitive equations. J. Comput. Phys. Rihui Lan, Lili Ju, Zhu Wang, Max D. Gunzburger, Philip Jones
2022	—	`conf`	Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. MSML Yuankai Teng, Xiaoping Zhang, Zhu Wang, Lili Ju
2022	J	`jnl`	Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. J. Sci. Comput. Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
2021	J	`jnl`	A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling. CoRR Anthony D. Gruber, Max D. Gunzburger, Lili Ju, Zhu Wang
2021	J	`jnl`	A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations. CoRR Lihong Feng, Guosheng Fu, Zhu Wang
2021	J	`jnl`	A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations. J. Sci. Comput. Lihong Feng, Guosheng Fu, Zhu Wang
2021	J	`jnl`	A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations. CoRR Yanlai Chen, Lijie Ji, Zhu Wang
2021	J	`jnl`	An efficient iterative method for solving parameter-dependent and random diffusion problems. CoRR Xiaobing Feng, Yan Luo, Liet Vo, Zhu Wang
2021	J	`jnl`	Bilinear Control of Convection-Cooling: From Open-Loop to Closed-Loop. CoRR Weiwei Hu, Jun Liu, Zhu Wang
2021	J	`jnl`	Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems. CoRR Harsh Sharma, Zhu Wang, Boris Kramer
2021	J	`jnl`	High-Order Multirate Explicit Time-Stepping Schemes for the Baroclinic-Barotropic Split Dynamics in Primitive Equations. CoRR Rihui Lan, Lili Ju, Zhu Wang, Max D. Gunzburger, Philip Jones
2021	J	`jnl`	Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. CoRR Yuankai Teng, Xiaoping Zhang, Zhu Wang, Lili Ju
2021	J	`jnl`	Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation. CoRR Yuankai Teng, Zhu Wang, Lili Ju, Anthony D. Gruber, Guannan Zhang
2021	J	`jnl`	Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations. CoRR Anthony D. Gruber, Max D. Gunzburger, Lili Ju, Yuankai Teng, Zhu Wang
2021	J	`jnl`	Nonlinear Reduced DNN Models for State Estimation. CoRR Wolfgang Dahmen, Min Wang, Zhu Wang
2021	J	`jnl`	Parallel Exponential Time Differencing Methods for Geophysical Flow Simulations. CoRR Rihui Lan, Wei Leng, Zhu Wang, Lili Ju, Max D. Gunzburger
2021	J	`jnl`	Structure-Preserving Galerkin POD-DEIM Reduced-Order Modeling of Hamiltonian Systems. CoRR Zhu Wang
2021	J	`jnl`	Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. CoRR Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
2020	J	`jnl`	A ROM-accelerated parallel-in-time preconditioner for solving all-at-once systems from evolutionary PDEs. CoRR Jun Liu, Zhu Wang
2020	J	`jnl`	High order explicit local time stepping methods for hyperbolic conservation laws. Math. Comput. Thi-Thao-Phuong Hoang, Lili Ju, Wei Leng, Zhu Wang
2020	J	`jnl`	Nonoverlapping Localized Exponential Time Differencing Methods for Diffusion Problems. J. Sci. Comput. Thi-Thao-Phuong Hoang, Lili Ju, Zhu Wang
2020	J	`jnl`	POD-(H)DG Method for Incompressible Flow Simulations. CoRR Guosheng Fu, Zhu Wang
2020	J	`jnl`	POD-(H)DG Method for Incompressible Flow Simulations. J. Sci. Comput. Guosheng Fu, Zhu Wang
2020	J	`jnl`	Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey. CoRR Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu
2019	J	`jnl`	A Multilevel Monte Carlo Ensemble Scheme for Random Parabolic PDEs. SIAM J. Sci. Comput. Yan Luo, Zhu Wang
2019	J	`jnl`	A Second-Order Time-Stepping Scheme for Simulating Ensembles of Parameterized Flow Problems. Comput. Methods Appl. Math. Max D. Gunzburger, Nan Jiang, Zhu Wang
2019	J	`jnl`	Conservative explicit local time-stepping schemes for the shallow water equations. J. Comput. Phys. Thi-Thao-Phuong Hoang, Wei Leng, Lili Ju, Zhu Wang, Konstantin Pieper
2019	J	`jnl`	Non-commutative discretize-then-optimize algorithms for elliptic PDE-constrained optimal control problems. J. Comput. Appl. Math. Jun Liu, Zhu Wang
2018	J	`jnl`	An Ensemble Algorithm for Numerical Solutions to Deterministic and Random Parabolic PDEs. SIAM J. Numer. Anal. Yan Luo, Zhu Wang
2018	J	`jnl`	Efficient time domain decomposition algorithms for parabolic PDE-constrained optimization problems. Comput. Math. Appl. Jun Liu, Zhu Wang
2018	J	`jnl`	Numerical analysis of the Leray reduced order model. J. Comput. Appl. Math. Xuping Xie, David R. Wells, Zhu Wang, Traian Iliescu
2018	J	`jnl`	POD/DEIM Reduced-Order Modeling of Time-Fractional Partial Differential Equations with Applications in Parameter Identification. J. Sci. Comput. Hongfei Fu, Hong Wang, Zhu Wang
2018	J	`jnl`	Preface of 2nd Annual Meeting of SIAM Central States Section. Comput. Math. Appl. Xiaoming He, Stephen Pankavich, Erik S. Van Vleck, Zhu Wang, Xiu Ye
2017	J	`jnl`	Adjoint-Based, Superconvergent Galerkin Approximations of Linear Functionals. J. Sci. Comput. Bernardo Cockburn, Zhu Wang
2016	J	`jnl`	A Variational Approach to the Inverse Photolithography Problem. SIAM J. Appl. Math. Luca Rondi, Fadil Santosa, Zhu Wang
2016	J	`jnl`	A goal-oriented reduced-order modeling approach for nonlinear systems. Comput. Math. Appl. Jeff Borggaard, Zhu Wang, Lizette Zietsman
2016	J	`jnl`	Approximate partitioned method of snapshots for POD. J. Comput. Appl. Math. Zhu Wang, Brian McBee, Traian Iliescu
2014	J	`jnl`	Are the Snapshot Difference Quotients Needed in the Proper Orthogonal Decomposition? SIAM J. Sci. Comput. Traian Iliescu, Zhu Wang
2013	J	`jnl`	Asymptotic error expansions for hypersingular integrals. Adv. Comput. Math. Jin Huang, Zhu Wang, Rui Zhu
2013	J	`jnl`	Variational multiscale proper orthogonal decomposition: Convection-dominated convection-diffusion-reaction equations. Math. Comput. Traian Iliescu, Zhu Wang
2012	J	`jnl`	Non-iterative domain decomposition methods for a non-stationary Stokes-Darcy model with Beavers-Joseph interface condition. Appl. Math. Comput. Wenqiang Feng, Xiaoming He, Zhu Wang, Xu Zhang
2011	J	`jnl`	Artificial viscosity proper orthogonal decomposition. Math. Comput. Model. Jeff Borggaard, Traian Iliescu, Zhu Wang
2011	J	`jnl`	Two-level discretizations of nonlinear closure models for proper orthogonal decomposition. J. Comput. Phys. Zhu Wang, Imran Akhtar, Jeff Borggaard, Traian Iliescu
2009	J	`jnl`	Extrapolation Algorithms for Solving Mixed Boundary Integral Equations of the Helmholtz Equation by Mechanical Quadrature Methods. SIAM J. Sci. Comput. Jin Huang, Zhu Wang
2006	J	`jnl`	Research of combined hybrid method applied in the Reissner-Mindlin plate model. Appl. Math. Comput. Zhu Wang, Bing Hu