Xiaoliang Wan - RankMe

42 papers A* 1Journal 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimating committor functions via deep adaptive sampling on rare transition paths. J. Comput. Phys. Yueyang Wang, Kejun Tang, Xili Wang, Xiaoliang Wan, Weiqing Ren, Chao Yang
2026	J	`jnl`	Moving sample method for solving time-dependent partial differential equations. CoRR Beining Xu, Haijun Yu, Jiayu Zhai, Kejun Tang, Xiaoliang Wan
2026	J	`jnl`	Mutual Information Collapse Explains Disentanglement Failure in β-VAEs. CoRR Minh Vu, Xiaoliang Wan, Shuangqing Wei
2025	J	`jnl`	Adaptive Deep Density Approximation for Stochastic Dynamical Systems. J. Sci. Comput. Junjie He, Qifeng Liao, Xiaoliang Wan
2025	J	`jnl`	Bounded KRnet and Its Applications to Density Estimation and Approximation. SIAM J. Sci. Comput. Li Zeng, Xiaoliang Wan, Tao Zhou
2025	J	`jnl`	Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths. CoRR Yueyang Wang, Kejun Tang, Xili Wang, Xiaoliang Wan, Weiqing Ren, Chao Yang
2025	J	`jnl`	Integral regularization PINNs for evolution equations. CoRR Xiaodong Feng, Haojiong Shangguan, Tao Tang, Xiaoliang Wan
2025	J	`jnl`	LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process. CoRR Xiaodong Feng, Ling Guo, Xiaoliang Wan, Hao Wu, Tao Zhou, Wenwen Zhou
2025	J	`jnl`	Overcoming Spectral Bias via Cross-Attention. CoRR Xiaodong Feng, Tao Tang, Xiaoliang Wan, Tao Zhou
2024	J	`jnl`	A hybrid FEM-PINN method for time-dependent partial differential equations. CoRR Xiaodong Feng, Haojiong Shangguan, Tao Tang, Xiaoliang Wan, Tao Zhou
2024	J	`jnl`	Adaptive deep density approximation for stochastic dynamical systems. CoRR Junjie He, Qifeng Liao, Xiaoliang Wan
2024	A*	`conf`	Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. ICLR Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
2024	J	`jnl`	Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data. J. Sci. Comput. Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
2024	J	`jnl`	Deep adaptive sampling for surrogate modeling without labeled data. CoRR Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
2023	J	`jnl`	Adaptive Deep Density Approximation for Fractional Fokker-Planck Equations. J. Sci. Comput. Li Zeng, Xiaoliang Wan, Tao Zhou
2023	J	`jnl`	Adaptive importance sampling for Deep Ritz. CoRR Xiaoliang Wan, Tao Zhou, Yuancheng Zhou
2023	J	`jnl`	Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. CoRR Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
2023	J	`jnl`	Bounded KRnet and its applications to density estimation and approximation. CoRR Li Zeng, Xiaoliang Wan, Tao Zhou
2023	J	`jnl`	DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. J. Comput. Phys. Kejun Tang, Xiaoliang Wan, Chao Yang
2023	J	`jnl`	Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems. CoRR Yani Feng, Kejun Tang, Xiaoliang Wan, Qifeng Liao
2022	J	`jnl`	Adaptive deep density approximation for Fokker-Planck equations. J. Comput. Phys. Kejun Tang, Xiaoliang Wan, Qifeng Liao
2022	J	`jnl`	Adaptive deep density approximation for fractional Fokker-Planck equations. CoRR Li Zeng, Xiaoliang Wan, Tao Zhou
2021	J	`jnl`	A Minimum Action Method for Dynamical Systems with Constant Time Delays. SIAM J. Sci. Comput. Xiaoliang Wan, Jiayu Zhai
2021	J	`jnl`	Adaptive deep density approximation for Fokker-Planck equations. CoRR Kejun Tang, Xiaoliang Wan, Qifeng Liao
2021	J	`jnl`	Augmented KRnet for density estimation and approximation. CoRR Xiaoliang Wan, Kejun Tang
2021	J	`jnl`	DAS: A deep adaptive sampling method for solving partial differential equations. CoRR Kejun Tang, Xiaoliang Wan, Chao Yang
2020	J	`jnl`	Coupling the reduced-order model and the generative model for an importance sampling estimator. J. Comput. Phys. Xiaoliang Wan, Shuangqing Wei
2020	J	`jnl`	VAE-KRnet and its applications to variational Bayes. CoRR Xiaoliang Wan, Shuangqing Wei
2019	J	`jnl`	Coupling the reduced-order model and the generative model for an importance sampling estimator. CoRR Xiaoliang Wan, Shuangqing Wei
2018	J	`jnl`	Asymptotically Efficient Simulation of Elliptic Problems with Small Random Forcing. SIAM J. Sci. Comput. Xiaoliang Wan, Xiang Zhou
2018	J	`jnl`	Convergence Analysis of a Finite Element Approximation of Minimum Action Methods. SIAM J. Numer. Anal. Xiaoliang Wan, Haijun Yu, Jiayu Zhai
2017	J	`jnl`	A dynamic-solver-consistent minimum action method: With an application to 2D Navier-Stokes equations. J. Comput. Phys. Xiaoliang Wan, Haijun Yu
2013	J	`jnl`	A minimum action method for small random perturbations of two-dimensional parallel shear flows. J. Comput. Phys. Xiaoliang Wan
2013	J	`jnl`	Hybrid parallel computing of minimum action method. Parallel Comput. Xiaoliang Wan, Guang Lin
2013	J	`jnl`	The Wick-Malliavin Approximation of Elliptic Problems with Log-Normal Random Coefficients. SIAM J. Sci. Comput. Xiaoliang Wan, Boris L. Rozovskii
2011	J	`jnl`	An adaptive high-order minimum action method. J. Comput. Phys. Xiaoliang Wan
2008	J	`jnl`	The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications. J. Comput. Phys. Jasmine Foo, Xiaoliang Wan, George E. Karniadakis
2007	J	`jnl`	Stochastic Computational Fluid Mechanics. Comput. Sci. Eng. Guang Lin, Xiaoliang Wan, Chau-Hsing Su, George E. Karniadakis
2006	J	`jnl`	A sharp error estimate for the fast Gauss transform. J. Comput. Phys. Xiaoliang Wan, George E. Karniadakis
2006	J	`jnl`	Beyond Wiener-Askey Expansions: Handling Arbitrary PDFs. J. Sci. Comput. Xiaoliang Wan, George E. Karniadakis
2006	J	`jnl`	Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures. SIAM J. Sci. Comput. Xiaoliang Wan, George E. Karniadakis
2004	J	`jnl`	Stochastic Solutions for the Two-Dimensional Advection-Diffusion Equation. SIAM J. Sci. Comput. Xiaoliang Wan, Dongbin Xiu, George E. Karniadakis