Yanzhao Cao - RankMe

54 papers B 1Misc 1Journal 51Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Error estimates of a training-free diffusion model for high-dimensional sampling. CoRR Pengjun Wang, Zezhong Zhang, Minglei Yang, Feng Bao, Yanzhao Cao, Guannan Zhang
2026	J	`jnl`	Generative AI models for learning flow maps of stochastic dynamical systems in bounded domains. J. Comput. Phys. Minglei Yang, Yanfang Liu, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2026	J	`jnl`	Learning non-separable Hamiltonian systems with pseudo-symplectic neural network. J. Comput. Phys. Xupeng Cheng, Lijin Wang, Yanzhao Cao, Chen Chen
2026	J	`jnl`	Weak Convergence of Drift-Implicit Euler and Spectral Galerkin Approximation to Stochastic Allen-Cahn Equation Driven by Multiplicative Trace-Class Noise. J. Sci. Comput. Minxing Zhang, Yongkui Zou, Ran Zhang, Yanzhao Cao
2025	J	`jnl`	Generative AI Models for Learning Flow Maps of Stochastic Dynamical Systems in Bounded Domains. CoRR Minglei Yang, Yanfang Liu, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2025	J	`jnl`	Learning Hamiltonian Systems with Pseudo-symplectic Neural Network. CoRR Xupeng Cheng, Lijin Wang, Yanzhao Cao, Chen Chen
2025	J	`jnl`	Learning Stochastic Hamiltonian Systems via Stochastic Generating Function Neural Network. CoRR Chen Chen, Lijin Wang, Yanzhao Cao, Xupeng Cheng
2025	J	`jnl`	Numerical approximations for partially observed optimal control of stochastic partial differential equations. CoRR Feng Bao, Yanzhao Cao, Hongjiang Qian
2025	J	`jnl`	Splitting Finite Element Approximations for Quasi-Static Electroporoelasticity Equations. J. Sci. Comput. Xuan Liu, Yongkui Zou, Ran Zhang, Yanzhao Cao, Amnon J. Meir
2025	J	`jnl`	Splitting finite element approximations for quasi-static electroporoelasticity equations. CoRR Xuan Liu, Yongkui Zou, Ran Zhang, Yanzhao Cao, Amnon J. Meir
2025	B	`conf`	TF-Diff: Training-free Diffusion for Cross-Domain RF-based Human Activity Recognition. GLOBECOM Ziqi Wang, Shiwen Mao, Feng Bao, Yanzhao Cao
2025	J	`jnl`	Weak Convergence Analysis for the Finite Element Approximation to Stochastic Allen-Cahn Equation Driven by Multiplicative White Noise. CoRR Minxing Zhang, Yongkui Zou, Ran Zhang, Yanzhao Cao
2024	J	`jnl`	A Pseudoreversible Normalizing Flow for Stochastic Dynamical Systems with Various Initial Distributions. SIAM J. Sci. Comput. Minglei Yang, Pengjun Wang, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2024	J	`jnl`	Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation. CoRR Minglei Yang, Pengjun Wang, Ming Fan, Dan Lu, Yanzhao Cao, Guannan Zhang
2024	J	`jnl`	Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks. SIAM J. Numer. Anal. Richard Archibald, Feng Bao, Yanzhao Cao, Hui Sun
2024	J	`jnl`	Numerical analysis of a time discretized method for nonlinear filtering problem with Lévy process observations. Adv. Comput. Math. Fengshan Zhang, Yongkui Zou, Shimin Chai, Yanzhao Cao
2024	J	`jnl`	Strong convergence of an explicit full-discrete scheme for stochastic Burgers-Huxley equation. CoRR Yibo Wang, Wanrong Cao, Yanzhao Cao
2023	J	`jnl`	A Probabilistic Scheme for Semilinear Nonlocal Diffusion Equations with Volume Constraints. SIAM J. Numer. Anal. Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Yanzhao Cao
2023	J	`jnl`	A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions. CoRR Minglei Yang, Pengjun Wang, Diego del-Castillo-Negrete, Yanzhao Cao, Guannan Zhang
2023	J	`jnl`	Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation. CoRR Yanfang Liu, Minglei Yang, Zezhong Zhang, Feng Bao, Yanzhao Cao, Guannan Zhang
2023	J	`jnl`	Fast and Accuracy-Preserving Domain Decomposition Methods for Reduced Fracture Models with Nonconforming Time Grids. J. Sci. Comput. Phuoc-Toan Huynh, Yanzhao Cao, Thi-Thao-Phuong Hoang
2023	J	`jnl`	Splitting scheme for backward doubly stochastic differential equations. Adv. Comput. Math. Feng Bao, Yanzhao Cao, He Zhang
2022	J	`jnl`	A probabilistic scheme for semilinear nonlocal diffusion equations with volume constraints. CoRR Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Yanzhao Cao
2022	J	`jnl`	Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent. CoRR Richard Archibald, Feng Bao, Yanzhao Cao, Hui Sun
2022	J	`jnl`	Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids. CoRR Phuoc-Toan Huynh, Yanzhao Cao, Thi-Thao-Phuong Hoang
2022	J	`jnl`	Numerical analysis of a time discretized method for nonlinear filtering problem with Lévy process observations. CoRR Fengshan Zhang, Yongkui Zou, Shimin Chai, Yanzhao Cao
2022	J	`jnl`	Splitting-up Spectral Method for Nonlinear Filtering Problems with Correlation Noises. J. Sci. Comput. Fengshan Zhang, Yongkui Zou, Shimin Chai, Ran Zhang, Yanzhao Cao
2021	J	`jnl`	Adaptive Gradient Descent for Optimal Control of Parabolic Equations with Random Parameters. CoRR Yanzhao Cao, Somak Das, Hans-Werner van Wyk
2021	J	`jnl`	Mean-square convergence of numerical methods for random ordinary differential equations. Numer. Algorithms Peng Wang, Yanzhao Cao, Xiaoying Han, Peter Kloeden
2021	J	`jnl`	Solving Backward Doubly Stochastic Differential Equations through Splitting Schemes. CoRR Feng Bao, Yanzhao Cao, He Zhang
2020	J	`jnl`	A locking free numerical approximation for quasilinear poroelasticity problems. Comput. Math. Appl. Jingyuan Zhang, Chenguang Zhou, Yanzhao Cao, Amnon J. Meir
2020	J	`jnl`	Analysis of the Stochastic Alternating Least Squares Method for the Decomposition of Random Tensors. CoRR Yanzhao Cao, Somak Das, Luke Oeding, Hans-Werner van Wyk
2020	J	`jnl`	Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle. CoRR Richard Archibald, Feng Bao, Yanzhao Cao, He Zhang
2019	J	`jnl`	An explicit a posteriori error estimations for the cell functional minimization scheme of elliptic problems. J. Comput. Appl. Math. Li Yin, Zhiming Gao, Yanzhao Cao
2018	J	`jnl`	A Robust Numerical Method for the Random Interface Grating Problem via Shape Calculus, Weak Galerkin Method, and Low-Rank Approximation. J. Sci. Comput. Gang Bao, Yanzhao Cao, Yongle Hao, Kai Zhang
2017	J	`jnl`	A fast discrete spectral method for stochastic partial differential equations. Adv. Comput. Math. Yanzhao Cao, Ying Jiang, Yuesheng Xu
2017	J	`jnl`	Approximating Stochastic Evolution Equations with Additive White and Rough Noises. SIAM J. Numer. Anal. Yanzhao Cao, Jialin Hong, Zhihui Liu
2017	J	`jnl`	Computational singular perturbation analysis of stochastic chemical systems with stiffness. J. Comput. Phys. Lijin Wang, Xiaoying Han, Yanzhao Cao, Habib N. Najm
2016	J	`jnl`	A First Order Scheme for Backward Doubly Stochastic Differential Equations. SIAM/ASA J. Uncertain. Quantification Feng Bao, Yanzhao Cao, Amnon J. Meir, Weidong Zhao
2016	Misc	`conf`	Particle Swarm Optimization Simulation via Optimal Halton Sequences. ICCS Ganesha Weerasinghe, Hongmei Chi, Yanzhao Cao
2016	J	`jnl`	Well-posedness and a numerical study of a regularization model with adaptive nonlinear filtering for incompressible fluid flow. Comput. Math. Appl. Yanzhao Cao, Song Chen, Leo G. Rebholz
2014	J	`jnl`	A Hybrid Sparse-Grid Approach for Nonlinear Filtering Problems Based on Adaptive-Domain of the Zakai Equation Approximations. SIAM/ASA J. Uncertain. Quantification Feng Bao, Yanzhao Cao, Clayton G. Webster, Guannan Zhang
2014	J	`jnl`	Orthogonal polynomial expansions on sparse grids. J. Complex. Yanzhao Cao, Ying Jiang, Yuesheng Xu
2014	J	`jnl`	Parallel, non-iterative, multi-physics domain decomposition methods for time-dependent Stokes-Darcy systems. Math. Comput. Yanzhao Cao, Max D. Gunzburger, Xiaoming He, Xiaoming Wang
2011	J	`jnl`	Robin-Robin domain decomposition methods for the steady-state Stokes-Darcy system with the Beavers-Joseph interface condition. Numerische Mathematik Yanzhao Cao, Max D. Gunzburger, Xiaoming He, Xiaoming Wang
2010	J	`jnl`	Error analysis of finite element approximations of the stochastic Stokes equations. Adv. Comput. Math. Yanzhao Cao, Zheng Chen, Max D. Gunzburger
2010	J	`jnl`	Finite Element Approximations for Stokes-Darcy Flow with Beavers-Joseph Interface Conditions. SIAM J. Numer. Anal. Yanzhao Cao, Max D. Gunzburger, Xiaolong Hu, Fei Hua, Xiaoming Wang, Weidong Zhao
2010	—	`conf`	Generating Parallel Random Sequences via Parameterizing EICGs for Heterogeneous Computing Environments. ICCSA (4) Hongmei Chi, Yanzhao Cao
2009	J	`jnl`	A Fast Collocation Method for Solving Stochastic Integral Equations. SIAM J. Numer. Anal. Yanzhao Cao, Bin Wu, Yuesheng Xu
2008	J	`jnl`	Exploitation of sensitivity derivatives via randomized quasi-Monte Carlo methods. Monte Carlo Methods Appl. Yanzhao Cao, Hongmei Chi, C. Milton, Weidong Zhao
2007	J	`jnl`	Finite element methods for semilinear elliptic stochastic partial differential equations. Numerische Mathematik Yanzhao Cao, Hongtao Yang, Li Yin
2003	J	`jnl`	A Hybrid Collocation Method for Volterra Integral Equations with Weakly Singular Kernels. SIAM J. Numer. Anal. Yanzhao Cao, Terry Herdman, Yuesheng Xu
2003	J	`jnl`	An Efficient Monte Carlo Method for Optimal Control Problems with Uncertainty. Comput. Optim. Appl. Yanzhao Cao, M. Yousuff Hussaini, Thomas A. Zang
2001	J	`jnl`	Numerical approximations of exact controllability problems by optimal control problems for parabolic differential equations. Appl. Math. Comput. Yanzhao Cao