Wenrui Hao - RankMe

93 papers A* 2B 1Journal 88Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Structure-Preserving Scheme for the Time-Dependent Ginzburg-Landau Model with BCS Gap Coupling. CoRR Boyi Wang, Saurav Shenoy, Daniel Fortino, Long-Qing Chen, Wenrui Hao
2026	J	`jnl`	Fisher-Informed Parameterwise Aggregation for Federated Learning with Heterogeneous Data. CoRR Zhipeng Chang, Ting He, Wenrui Hao
2026	J	`jnl`	Multiscale Neural Networks for Approximating Green's Functions. SIAM J. Sci. Comput. Wenrui Hao, Rui Peng Li, Yuanzhe Xi, Tianshi Xu, Yahong Yang
2026	J	`jnl`	SVD-Preconditioned Gradient Descent Method for Solving Nonlinear Least Squares Problems. CoRR Zhipeng Chang, Wenrui Hao, Nian Liu
2025	J	`jnl`	Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation. CoRR Xiaofan Zhou, Liangjie Huang, Pinyang Cheng, Wenpeng Yin, Rui Zhang, Wenrui Hao, Lu Cheng
2025	B	`conf`	Accelerating Causal Network Discovery of Alzheimer's Disease Biomarkers via Scientific Literature-Based Retrieval Augmented Generation. IEEE Big Data Xiaofan Zhou, Liangjie Huang, Pinyang Chen, Wenpeng Yin, Rui Zhang, Wenrui Hao, Lu Cheng
2025	J	`jnl`	An Efficient Quasi-Newton Method with Tensor Product Implementation for Solving Quasi-Linear Elliptic Equations and Systems. CoRR Wenrui Hao, Sun Lee, Xiangxiong Zhang
2025	J	`jnl`	An Efficient Quasi-Newton Method with Tensor Product Implementation for Solving Quasi-Linear Elliptic Equations and Systems. J. Sci. Comput. Wenrui Hao, Sun Lee, Xiangxiong Zhang
2025	J	`jnl`	An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks. CoRR Jiaqi Luo, Yahong Yang, Yuan Yuan, Shixin Xu, Wenrui Hao
2025	J	`jnl`	An imbalanced learning-based sampling method for physics-informed neural networks. J. Comput. Phys. Jiaqi Luo, Yahong Yang, Yuan Yuan, Shixin Xu, Wenrui Hao
2025	J	`jnl`	Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations. J. Sci. Comput. Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
2025	J	`jnl`	Correction to: Automatic Differentiation Is Essential in Training Neural Networks for Solving Differential Equations. J. Sci. Comput. Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
2025	J	`jnl`	Energy Approach from ϵ-Graph to Continuum Diffusion Model with Connectivity Functional. CoRR Yahong Yang, Sun Lee, Jeff Calder, Wenrui Hao
2025	J	`jnl`	Error analysis of the diffuse domain finite element method for second order parabolic equations. CoRR Wenrui Hao, Lili Ju, Yuejin Xu
2025	J	`jnl`	Geometric local parameterization for solving Hele-Shaw problems with surface tension. CoRR Zengyan Zhang, Wenrui Hao, John Harlim
2025	J	`jnl`	Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks. J. Sci. Comput. Yahong Yang, Qipin Chen, Wenrui Hao
2025	J	`jnl`	Laplacian eigenfunction-based neural operator for learning nonlinear reaction-diffusion dynamics. J. Comput. Phys. Jindong Wang, Wenrui Hao
2025	J	`jnl`	Learn Sharp Interface Solution by Homotopy Dynamics. CoRR Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
2025	A*	`conf`	Learn Singularly Perturbed Solutions via Homotopy Dynamics. ICML Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
2025	J	`jnl`	Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression. CoRR Jindong Wang, Yutong Mao, Xiao Liu, Wenrui Hao
2025	J	`jnl`	Stability and robustness of time-discretization schemes for the Allen-Cahn equation via bifurcation and perturbation analysis. J. Comput. Phys. Wenrui Hao, Sun Lee, Xiaofeng Xu, Zhiliang Xu
2025	J	`jnl`	ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling. CoRR Shun Wang, Shun-Li Shang, Zi-Kui Liu, Wenrui Hao
2024	J	`jnl`	A Numerical Method for Solving Elliptic Equations on Real Closed Algebraic Curves and Surfaces. J. Sci. Comput. Wenrui Hao, Jonathan D. Hauenstein, Margaret H. Regan, Tingting Tang
2024	J	`jnl`	An Adaptive Orthogonal Basis Method for Computing Multiple Solutions of Differential Equations with polynomial nonlinearities. CoRR Lin Li, Yangyi Ye, Wenrui Hao, Huiyuan Li
2024	J	`jnl`	Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations. CoRR Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
2024	J	`jnl`	Companion-based multi-level finite element method for computing multiple solutions of nonlinear differential equations. Comput. Math. Appl. Wenrui Hao, Sun Lee, Young Ju Lee
2024	J	`jnl`	Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons. J. Sci. Comput. Wenrui Hao, Qingguo Hong, Xianlin Jin
2024	J	`jnl`	HomPINNs: Homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions. J. Comput. Phys. Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin
2024	J	`jnl`	Multiscale Neural Networks for Approximating Green's Functions. CoRR Wenrui Hao, Ruipeng Li, Yuanzhe Xi, Tianshi Xu, Yahong Yang
2024	J	`jnl`	Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations. CoRR Wenrui Hao, Xinliang Liu, Yahong Yang
2024	A*	`conf`	Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations. NeurIPS Wenrui Hao, Xinliang Liu, Yahong Yang
2024	J	`jnl`	On pattern formation in the thermodynamically-consistent variational Gray-Scott model. CoRR Wenrui Hao, Chun Liu, Yiwei Wang, Yahong Yang
2024	J	`jnl`	Stability and Robustness of Time-discretization Schemes for the Allen-Cahn Equation via Bifurcation and Perturbation Analysis. CoRR Wenrui Hao, Sun Lee, Xiaofeng Xu, Zhiliang Xu
2023	J	`jnl`	A numerical method for solving elliptic equations on real closed algebraic curves and surfaces. CoRR Wenrui Hao, Jonathan D. Hauenstein, Margaret H. Regan, Tingting Tang
2023	J	`jnl`	Companion-Based Multi-Level Finite Element Method for Computing Multiple Solutions of Nonlinear Differential Equations. CoRR Wenrui Hao, Sun Lee, Young Ju Lee
2023	J	`jnl`	Deep Learning via Neural Energy Descent. CoRR Wenrui Hao, Chunmei Wang, Xingjian Xu, Haizhao Yang
2023	J	`jnl`	Gauss Newton method for solving variational problems of PDEs with neural network discretizaitons. CoRR Wenrui Hao, Qingguo Hong, Xianlin Jin, Yiran Wang
2023	J	`jnl`	Greedy training algorithms for neural networks and applications to PDEs. J. Comput. Phys. Jonathan W. Siegel, Qingguo Hong, Xianlin Jin, Wenrui Hao, Jinchao Xu
2023	J	`jnl`	HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions. CoRR Haoyang Zheng, Yao Huang, Ziyang Huang, Wenrui Hao, Guang Lin
2023	J	`jnl`	Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks. CoRR Yahong Yang, Qipin Chen, Wenrui Hao
2022	J	`jnl`	A weight initialization based on the linear product structure for neural networks. Appl. Math. Comput. Qipin Chen, Wenrui Hao, Juncai He
2022	J	`jnl`	An adaptive homotopy tracking algorithm for solving nonlinear parametric systems with applications in nonlinear ODEs. Appl. Math. Lett. Wenrui Hao
2022	J	`jnl`	Bifurcation Analysis Reveals Solution Structures of Phase Field Models. CoRR Xinyue Evelyn Zhao, Long-Qing Chen, Wenrui Hao, Yanxiang Zhao
2022	J	`jnl`	Data-driven causal model discovery and personalized prediction in Alzheimer's disease. npj Digit. Medicine Haoyang Zheng, Jeffrey R. Petrella, P. Murali Doraiswamy, Guang Lin, Wenrui Hao
2022	J	`jnl`	Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke L. Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer F. Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis
2022	J	`jnl`	HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations. Comput. Math. Appl. Yao Huang, Wenrui Hao, Guang Lin
2022	J	`jnl`	Nonlinear simulation of vascular tumor growth with chemotaxis and the control of necrosis. J. Comput. Phys. Min-Jhe Lu, Wenrui Hao, Chun Liu, John S. Lowengrub, Shuwang Li
2022	J	`jnl`	Optimal anti-amyloid-beta therapy for Alzheimer's disease via a personalized mathematical model. PLoS Comput. Biol. Wenrui Hao, Suzanne Lenhart, Jeffrey R. Petrella
2022	J	`jnl`	Power series expansion neural network. J. Comput. Sci. Qipin Chen, Wenrui Hao, Juncai He
2022	J	`jnl`	Randomized Newton's Method for Solving Differential Equations Based on the Neural Network Discretization. J. Sci. Comput. Qipin Chen, Wenrui Hao
2022	J	`jnl`	Stability Preserving Data-driven Models With Latent Dynamics. CoRR Yushuang Luo, Xiantao Li, Wenrui Hao
2021	J	`jnl`	A Stochastic Homotopy Tracking Algorithm for Parametric Systems of Nonlinear Equations. J. Sci. Comput. Wenrui Hao, Chunyue Zheng
2021	J	`jnl`	A Weight Initialization Based on the Linear Product Structure for Neural Networks. CoRR Qipin Chen, Wenrui Hao, Juncai He
2021	J	`jnl`	A gradient descent method for solving a system of nonlinear equations. Appl. Math. Lett. Wenrui Hao
2021	J	`jnl`	A stochastic homotopy tracking algorithm for parametric systems of nonlinear equations. CoRR Wenrui Hao, Chunyue Zheng
2021	J	`jnl`	An efficient greedy training algorithm for neural networks and applications in PDEs. CoRR Wenrui Hao, Xianlin Jin, Jonathan W. Siegel, Jinchao Xu
2021	J	`jnl`	Convergence analysis of neural networks for solving a free boundary problem. Comput. Math. Appl. Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu
2021	J	`jnl`	Learn bifurcations of nonlinear parametric systems via equation-driven neural networks. CoRR Wenrui Hao, Chunyue Zheng
2021	J	`jnl`	Multiscale and monolithic arbitrary Lagrangian-Eulerian finite element method for a hemodynamic fluid-structure interaction problem involving aneurysms. J. Comput. Phys. Wenrui Hao, Pengtao Sun, Jinchao Xu, Lian Zhang
2021	J	`jnl`	Nonlinear simulation of vascular tumor growth with chemotaxis and the control of necrosis. CoRR Min-Jhe Lu, Wenrui Hao, Chun Liu, John S. Lowengrub, Shuwang Li
2021	J	`jnl`	Power series expansion neural network. CoRR Qipin Chen, Wenrui Hao, Juncai He
2021	J	`jnl`	Projection based model reduction for the immersed boundary method. CoRR Yushuang Luo, Xiantao Li, Wenrui Hao
2021	J	`jnl`	Two neural-network-based methods for solving obstacle problems. CoRR Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu
2020	J	`jnl`	A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations. J. Sci. Comput. Wenrui Hao, Jan S. Hesthaven, Guang Lin, Bin Zheng
2020	J	`jnl`	An Adaptive Homotopy Method for Computing Bifurcations of Nonlinear Parametric Systems. J. Sci. Comput. Wenrui Hao, Chunyue Zheng
2020	J	`jnl`	An adaptive homotopy method for computing bifurcations of nonlinear parametric systems. CoRR Wenrui Hao, Chunyue Zheng
2020	J	`jnl`	Convergence analysis of neural networks for solving a free boundary system. CoRR Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu
2019	J	`jnl`	A machine learning method correlating pulse pressure wave data with pregnancy. CoRR Jianhong Chen, Huang Huang, Wenrui Hao, Jinchao Xu
2019	J	`jnl`	A randomized Newton's method for solving differential equations based on the neural network discretization. CoRR Qipin Chen, Wenrui Hao
2019	J	`jnl`	Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer's Disease. Comput. Math. Methods Medicine Jeffrey R. Petrella, Wenrui Hao, Adithi Rao, P. Murali Doraiswamy
2018	J	`jnl`	A Homotopy Method for Parameter Estimation of Nonlinear Differential Equations with Multiple Optima. J. Sci. Comput. Wenrui Hao
2018	J	`jnl`	Convergence of boundary integral method for a free boundary system. J. Comput. Appl. Math. Wenrui Hao, Bei Hu, Shuwang Li, Lingyu Song
2018	J	`jnl`	Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions. SIAM J. Sci. Comput. Yingwei Wang, Wenrui Hao, Guang Lin
2017	J	`jnl`	Algorithm 976: Bertini_real: Numerical Decomposition of Real Algebraic Curves and Surfaces. ACM Trans. Math. Softw. Daniel A. Brake, Daniel J. Bates, Wenrui Hao, Jonathan D. Hauenstein, Andrew J. Sommese, Charles W. Wampler
2017	J	`jnl`	Algorithm to improve accuracy of energy expended in a room calorimeter. Medical Biol. Eng. Comput. Haiying Quan, Wenrui Hao, Lu Li, Ming Sun, Kuan Zhang
2016	J	`jnl`	Mathematical model on Alzheimer's disease. BMC Syst. Biol. Wenrui Hao, Avner Friedman
2015	J	`jnl`	A fictitious domain method with a hybrid cell model for simulating motion of cells in fluid flow. J. Comput. Phys. Wenrui Hao, Zhiliang Xu, Chun Liu, Guang Lin
2014	J	`jnl`	A bootstrapping approach for computing multiple solutions of differential equations. J. Comput. Appl. Math. Wenrui Hao, Jonathan D. Hauenstein, Bei Hu, Andrew J. Sommese
2014	—	`conf`	Bertini_real: Software for One- and Two-Dimensional Real Algebraic Sets. ICMS Daniel A. Brake, Daniel J. Bates, Wenrui Hao, Jonathan D. Hauenstein, Andrew J. Sommese, Charles W. Wampler
2013	J	`jnl`	A homotopy method based on WENO schemes for solving steady state problems of hyperbolic conservation laws. J. Comput. Phys. Wenrui Hao, Jonathan D. Hauenstein, Chi-Wang Shu, Andrew J. Sommese, Zhiliang Xu, Yong-Tao Zhang
2013	J	`jnl`	A new interpretation and validation of variance based importance measures for models with correlated inputs. Comput. Phys. Commun. Wenrui Hao, Zhenzhou Lu, Luyi Li
2013	J	`jnl`	Algorithm 931: An algorithm and software for computing multiplicity structures at zeros of nonlinear systems. ACM Trans. Math. Softw. Wenrui Hao, Andrew J. Sommese, Zhonggang Zeng
2013	J	`jnl`	Cell Cycle Control and Bifurcation for a Free Boundary Problem Modeling Tissue Growth. J. Sci. Comput. Wenrui Hao, Bei Hu, Andrew J. Sommese
2013	J	`jnl`	Computing steady-state solutions for a free boundary problem modeling tumor growth by Stokes equation. J. Comput. Appl. Math. Wenrui Hao, Jonathan D. Hauenstein, Bei Hu, Timothy M. McCoy, Andrew J. Sommese
2013	J	`jnl`	Domain decomposition schemes with high-order accuracy and unconditional stability. Appl. Math. Comput. Wenrui Hao, Shaohong Zhu
2013	J	`jnl`	Uncertainty importance measure for models with correlated normal variables. Reliab. Eng. Syst. Saf. Wenrui Hao, Zhenzhou Lu, Pengfei Wei
2012	J	`jnl`	Continuation Along Bifurcation Branches for a Tumor Model with a Necrotic Core. J. Sci. Comput. Wenrui Hao, Jonathan D. Hauenstein, Bei Hu, Yuan Liu, Andrew J. Sommese, Yong-Tao Zhang
2012	J	`jnl`	Efficient sampling methods for global reliability sensitivity analysis. Comput. Phys. Commun. Pengfei Wei, Zhenzhou Lu, Wenrui Hao, Jun Feng, Bintuan Wang
2012	J	`jnl`	Importance measure of correlated normal variables and its sensitivity analysis. Reliab. Eng. Syst. Saf. Wenrui Hao, Zhenzhou Lu, Longfei Tian
2011	J	`jnl`	A three-dimensional steady-state tumor system. Appl. Math. Comput. Wenrui Hao, Jonathan D. Hauenstein, Bei Hu, Andrew J. Sommese
2010	—	`conf`	High-order Parallel Iterative Method For The Heat Equations. CSC Wenrui Hao, Chang Liu
2009	J	`jnl`	An algorithmic approach to finding factorial designs with generalized minimum aberration. J. Complex. Fasheng Sun, Min-Qian Liu, Wenrui Hao
2009	J	`jnl`	Parallel iterative methods for parabolic equations. Int. J. Comput. Math. Wenrui Hao, Shaohong Zhu