Jialin Hong - RankMe

100 papers Journal 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Two-Stage Multi-View Fusion Framework With Semantic-Spatial Alignment for Precise Diagnosis of Phalangeal Fractures. Int. J. Imaging Syst. Technol. Jialin Hong, Yongxin Ge, Qin Long, Changjun Hou, Danqun Huo, Yinglan Lei, Peng Yin, Xiaogang Luo
2026	J	`jnl`	Fully discrete schemes and L p -strong convergence orders for the SPDE driven by Lévy noise. J. Comput. Phys. Chuchu Chen, Tonghe Dang, Jialin Hong, Ziyi Lei
2026	J	`jnl`	Quantifying the effect of graph structure on strong Feller property of SPDEs. CoRR Jianbo Cui, Tonghe Dang, Jialin Hong, Zhengkai Wang
2025	J	`jnl`	A New Class of Splitting Methods That Preserve Ergodicity and Exponential Integrability for the Stochastic Langevin Equation. SIAM J. Numer. Anal. Chuchu Chen, Tonghe Dang, Jialin Hong, Fengshan Zhang
2025	J	`jnl`	Asymptotic error distribution of numerical methods for parabolic SPDEs with multiplicative noise. CoRR Jialin Hong, Diancong Jin, Xu Wang
2025	J	`jnl`	LRBF-Based energy-conserving time splitting schemes for the 2D Maxwell equations. Commun. Nonlinear Sci. Numer. Simul. Rong Gao, Jialin Hong, Linghua Kong, Qi Wu
2025	J	`jnl`	Order of Convergence of Splitting Schemes for Deterministic/Stochastic Gross-Pitaevskii Equations with Rotating Angular Momentum. J. Sci. Comput. Rong Gao, Jialin Hong, Linghua Kong, Songpei Ouyang, Lan Wang
2025	J	`jnl`	Symplectic methods for stochastic Hamiltonian systems: asymptotic error distributions and Hamiltonian-specific analysis. CoRR Chuchu Chen, Xinyu Chen, Jialin Hong, Yuqian Miao
2025	J	`jnl`	The law of iterated logarithm for numerical approximation of time-homogeneous Markov process. CoRR Chuchu Chen, Xinyu Chen, Jialin Hong
2024	J	`jnl`	A new class of splitting methods that preserve ergodicity and exponential integrability for stochastic Langevin equation. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong, Fengshan Zhang
2024	J	`jnl`	Asymptotic error distribution of accelerated exponential Euler method for parabolic SPDEs. CoRR Jialin Hong, Diancong Jin, Xu Wang, Guanlin Yang
2024	J	`jnl`	L CoRR Chuchu Chen, Tonghe Dang, Jialin Hong, Ziyi Lei
2024	J	`jnl`	Long-time dynamics of stochastic wave equation with dissipative damping and its full discretization: exponential ergodicity and strong law of large numbers. CoRR Meng Cai, Chuchu Chen, Jialin Hong, Tau Zhou
2024	J	`jnl`	Long-time weak convergence analysis of a semi-discrete scheme for stochastic Maxwell equations. CoRR Chuchu Chen, Jialin Hong, Ge Liang
2024	J	`jnl`	Longtime behaviors of θ-Euler-Maruyama method for stochastic functional differential equations. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong, Guoting Song
2024	J	`jnl`	Novel semi-explicit symplectic schemes for nonseparable stochastic Hamiltonian systems. CoRR Jialin Hong, Baohui Hou, Liying Sun
2024	J	`jnl`	Novel structure-preserving schemes for stochastic Klein-Gordon-Schrödinger equations with additive noise. J. Comput. Phys. Jialin Hong, Baohui Hou, Liying Sun, Xiaojing Zhang
2024	J	`jnl`	On structure preservation for fully discrete finite difference schemes of stochastic heat equation with Lévy space-time white noise. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong
2024	J	`jnl`	Superiority of stochastic symplectic methods via the law of iterated logarithm. CoRR Chuchu Chen, Xinyu Chen, Tonghe Dang, Jialin Hong
2023	J	`jnl`	Density convergence of a fully discrete finite difference method for stochastic Cahn-Hilliard equation. Math. Comput. Jialin Hong, Diancong Jin, Derui Sheng
2023	J	`jnl`	Error analysis of numerical methods on graded meshes for stochastic Volterra equations. CoRR Xinjie Dai, Jialin Hong, Derui Sheng
2023	J	`jnl`	Exponential superiority in probability of stochastic symplectic methods for linear stochastic oscillator. CoRR Jialin Hong, Ge Liang, Derui Sheng
2023	J	`jnl`	Novel structure-preserving schemes for stochastic Klein-Gordon-Schrödinger equations with additive noise. CoRR Jialin Hong, Baohui Hou, Liying Sun, Xiaojing Zhang
2023	J	`jnl`	Probabilistic limit behaviors of numerical discretizations for time-homogeneous Markov processes. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong, Guoting Song
2022	J	`jnl`	An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong
2022	J	`jnl`	Central limit theorem for full discretization of parabolic SPDE. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong, Tau Zhou
2022	J	`jnl`	Convergence analysis of a finite difference method for stochastic Cahn-Hilliard equation. CoRR Jialin Hong, Diancong Jin, Derui Sheng
2022	J	`jnl`	Convergence analysis of one-point large deviations rate functions of numerical discretizations for stochastic wave equations with small noise. CoRR Diancong Jin, Jialin Hong, Derui Sheng
2022	J	`jnl`	Density function of numerical solution of splitting AVF scheme for stochastic Langevin equation. Math. Comput. Jianbo Cui, Jialin Hong, Derui Sheng
2022	J	`jnl`	Energy-preserving fully-discrete schemes for nonlinear stochastic wave equations with multiplicative noise. J. Comput. Phys. Jialin Hong, Baohui Hou, Liying Sun
2022	J	`jnl`	Ergodic numerical approximations for stochastic Maxwell equations. CoRR Chuchu Chen, Jialin Hong, Lihai Ji, Ge Liang
2022	J	`jnl`	Finite difference method for stochastic Cahn-Hilliard equation: Strong convergence rate and density convergence. CoRR Jialin Hong, Diancong Jin, Derui Sheng
2022	J	`jnl`	Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems. J. Complex. Chuchu Chen, Jialin Hong, Derui Sheng
2022	J	`jnl`	Semi-implicit energy-preserving numerical schemes for stochastic wave equation via SAV approach. CoRR Jianbo Cui, Jialin Hong, Liying Sun
2022	J	`jnl`	Strong error analysis of Euler methods for overdamped generalized Langevin equations with fractional noise: Nonlinear case. CoRR Xinjie Dai, Jialin Hong, Derui Sheng, Tau Zhou
2022	J	`jnl`	Three kinds of novel multi-symplectic methods for stochastic Hamiltonian partial differential equations. CoRR Jialin Hong, Baohui Hou, Qiang Li, Liying Sun
2022	J	`jnl`	Three kinds of novel multi-symplectic methods for stochastic Hamiltonian partial differential equations. J. Comput. Phys. Jialin Hong, Baohui Hou, Qiang Li, Liying Sun
2022	J	`jnl`	Well-posedness and Mittag-Leffler Euler integrator for space-time fractional SPDEs with fractionally integrated additive noise. CoRR Xinjie Dai, Jialin Hong, Derui Sheng
2021	J	`jnl`	A new efficient operator splitting method for stochastic Maxwell equations. CoRR Chuchu Chen, Jialin Hong, Lihai Ji
2021	J	`jnl`	A splitting semi-implicit method for stochastic incompressible Euler equations on T CoRR Jialin Hong, Derui Sheng, Tau Zhou
2021	J	`jnl`	An adaptive time-stepping full discretization for stochastic Allen-Cahn equation. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong
2021	J	`jnl`	Asymptotically-Preserving Large Deviations Principles by Stochastic Symplectic Methods for a Linear Stochastic Oscillator. SIAM J. Numer. Anal. Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun
2021	J	`jnl`	Energy-preserving fully-discrete schemes for nonlinear stochastic wave equations with multiplicative noise. CoRR Jialin Hong, Baohui Hou, Liying Sun
2021	J	`jnl`	Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System. CoRR Chuchu Chen, Jialin Hong, Derui Sheng
2021	J	`jnl`	Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs. CoRR Chuchu Chen, Ziheng Chen, Jialin Hong, Diancong Jin
2021	J	`jnl`	Numerical approximations of one-point large deviations rate functions of stochastic differential equations with small noise. CoRR Jialin Hong, Diancong Jin, Derui Sheng
2021	J	`jnl`	Strong Convergence of Full Discretization for Stochastic Cahn-Hilliard Equation Driven by Additive Noise. SIAM J. Numer. Anal. Jianbo Cui, Jialin Hong, Liying Sun
2021	J	`jnl`	Structure-preserving splitting methods for stochastic logarithmic Schrödinger equation via regularized energy approximation. CoRR Jianbo Cui, Jialin Hong, Liying Sun
2021	J	`jnl`	Weak intermittency and second moment bound of a fully discrete scheme for stochastic heat equation. CoRR Chuchu Chen, Tonghe Dang, Jialin Hong
2020	J	`jnl`	Convergence of Density Approximations for Stochastic Heat Equation. CoRR Chuchu Chen, Jianbo Cui, Jialin Hong, Derui Sheng
2020	J	`jnl`	Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations. J. Comput. Phys. Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu
2020	J	`jnl`	Exponential integrators for stochastic Maxwell's equations driven by Itô noise. J. Comput. Phys. David Cohen, Jianbo Cui, Jialin Hong, Liying Sun
2020	J	`jnl`	Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation. CoRR Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun
2020	J	`jnl`	Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations. CoRR Jialin Hong, Diancong Jin, Derui Sheng, Liying Sun
2020	J	`jnl`	Structure-preserving numerical methods for stochastic Poisson systems. CoRR Jialin Hong, Jialin Ruan, Liying Sun, Lijin Wang
2020	J	`jnl`	Super-convergence analysis on exponential integrator for stochastic heat equation driven by additive fractional Brownian motion. CoRR Jialin Hong, Chuying Huang
2019	J	`jnl`	Analysis of a full discretization of stochastic Cahn-Hilliard equation with unbounded noise diffusion. CoRR Jianbo Cui, Jialin Hong
2019	J	`jnl`	Approximation of Invariant Measures for Stochastic Differential Equations with Piecewise Continuous Arguments via Backward Euler Method. CoRR Chuchu Chen, Jialin Hong, Yulan Lu
2019	J	`jnl`	Convergence in Density of Splitting AVF Scheme for Stochastic Langevin Equation. CoRR Jianbo Cui, Jialin Hong, Derui Sheng
2019	J	`jnl`	Dynamic Evaluation of Exponential Polynomial Curves and Surfaces via Basis Transformation. SIAM J. Sci. Comput. Xunnian Yang, Jialin Hong
2019	J	`jnl`	Dynamic evaluation of exponential polynomial curves and surfaces via basis transformation. CoRR Xunnian Yang, Jialin Hong
2019	J	`jnl`	Energy-preserving multi-symplectic Runge-Kutta methods for Hamiltonian wave equations. CoRR Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu
2019	J	`jnl`	Mean-Square Convergence of a Semidiscrete Scheme for Stochastic Maxwell Equations. SIAM J. Numer. Anal. Chuchu Chen, Jialin Hong, Lihai Ji
2019	J	`jnl`	Parareal Exponential θ-Scheme for Longtime Simulation of Stochastic Schrödinger Equations with Weak Damping. SIAM J. Sci. Comput. Jialin Hong, Xu Wang, Liying Zhang
2019	J	`jnl`	Runge-Kutta Semidiscretizations for Stochastic Maxwell Equations with Additive Noise. SIAM J. Numer. Anal. Chuchu Chen, Jialin Hong, Lihai Ji
2019	J	`jnl`	Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the Wong-Zakai approximation. CoRR Chuchu Chen, Jialin Hong, Chuying Huang
2019	J	`jnl`	Strong and Weak Convergence Rates of a Spatial Approximation for Stochastic Partial Differential Equation with One-sided Lipschitz Coefficient. SIAM J. Numer. Anal. Jianbo Cui, Jialin Hong
2019	J	`jnl`	Strong convergence of a full discretization for stochastic wave equation with polynomial nonlinearity and addditive noise. CoRR Jianbo Cui, Jialin Hong, Lihai Ji, Liying Sun
2019	J	`jnl`	The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles. CoRR Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun
2018	J	`jnl`	Analysis of a Splitting Scheme for Damped Stochastic Nonlinear Schrödinger Equation with Multiplicative Noise. SIAM J. Numer. Anal. Jianbo Cui, Jialin Hong
2017	J	`jnl`	An energy-conserving method for stochastic Maxwell equations with multiplicative noise. J. Comput. Phys. Jialin Hong, Lihai Ji, Liying Zhang, Jiaxiang Cai
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`	Dynamic Evaluation of Free-Form Curves and Surfaces. SIAM J. Sci. Comput. Xunnian Yang, Jialin Hong
2017	J	`jnl`	High Order Conformal Symplectic and Ergodic Schemes for the Stochastic Langevin Equation via Generating Functions. SIAM J. Numer. Anal. Jialin Hong, Liying Sun, Xu Wang
2017	J	`jnl`	Numerical Analysis on Ergodic Limit of Approximations for Stochastic NLS Equation via Multi-symplectic Scheme. SIAM J. Numer. Anal. Jialin Hong, Xu Wang, Liying Zhang
2017	J	`jnl`	Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise. J. Comput. Appl. Math. Weien Zhou, Jingjing Zhang, Jialin Hong, Songhe Song
2017	J	`jnl`	Stochastic symplectic and multi-symplectic methods for nonlinear Schrödinger equation with white noise dispersion. J. Comput. Phys. Jianbo Cui, Jialin Hong, Zhihui Liu, Weien Zhou
2016	J	`jnl`	Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods. J. Comput. Phys. Chuchu Chen, Jialin Hong, Liying Zhang
2016	J	`jnl`	Symplectic Runge-Kutta Semidiscretization for Stochastic Schrödinger Equation. SIAM J. Numer. Anal. Chuchu Chen, Jialin Hong
2015	J	`jnl`	Two Energy-Conserved Splitting Methods for Three-Dimensional Time-Domain Maxwell's Equations and the Convergence Analysis. SIAM J. Numer. Anal. Jiaxiang Cai, Jialin Hong, Yushun Wang, Yuezheng Gong
2014	J	`jnl`	A stochastic multi-symplectic scheme for stochastic Maxwell equations with additive noise. J. Comput. Phys. Jialin Hong, Lihai Ji, Liying Zhang
2014	J	`jnl`	Energy-dissipation splitting finite-difference time-domain method for Maxwell equations with perfectly matched layers. J. Comput. Phys. Jialin Hong, Lihai Ji, Linghua Kong
2013	J	`jnl`	Solvability of concatenated Runge-Kutta equations for second-order nonlinear PDEs. J. Comput. Appl. Math. Jialin Hong, Chol Sim, Xiuling Yin
2011	J	`jnl`	Discrete Gradient Approach to Stochastic Differential Equations with a Conserved Quantity. SIAM J. Numer. Anal. Jialin Hong, Shuxing Zhai, Jingjing Zhang
2011	J	`jnl`	High-order compact splitting multisymplectic method for the coupled nonlinear Schrödinger equations. Comput. Math. Appl. Yuanping Ma, Linghua Kong, Jialin Hong, Ying Cao
2011	J	`jnl`	Symplectic structure-preserving integrators for the two-dimensional Gross-Pitaevskii equation for BEC. J. Comput. Appl. Math. Linghua Kong, Jialin Hong, Fangfang Fu, Jing Chen
2010	J	`jnl`	Splitting multisymplectic integrators for Maxwell's equations. J. Comput. Phys. Linghua Kong, Jialin Hong, Jingjing Zhang
2009	J	`jnl`	Accuracy of classical conservation laws for Hamiltonian PDEs under Runge-Kutta discretizations. Numerische Mathematik Jialin Hong, Shanshan Jiang, Chun Li
2009	J	`jnl`	Explicit multi-symplectic methods for Klein-Gordon-Schrödinger equations. J. Comput. Phys. Jialin Hong, Shanshan Jiang, Chun Li
2009	J	`jnl`	Symplectic integrator for nonlinear high order Schrödinger equation with a trapped term. J. Comput. Appl. Math. Linghua Kong, Jialin Hong, Lan Wang, Fangfang Fu
2008	J	`jnl`	Generating functions of multi-symplectic RK methods via DW Hamilton-Jacobi equations. Numerische Mathematik Jialin Hong, Yajuan Sun
2007	J	`jnl`	Existence of psi-bounded solutions for linear difference equations. Appl. Math. Lett. Yuliang Han, Jialin Hong
2007	J	`jnl`	Multi-symplectic Runge-Kutta-Nyström methods for nonlinear Schrödinger equations with variable coefficients. J. Comput. Phys. Jialin Hong, Xiao-Yan Liu, Chun Li
2007	J	`jnl`	Predictor-corrector methods for a linear stochastic oscillator with additive noise. Math. Comput. Model. Jialin Hong, Rudolf Scherer, Lijin Wang
2006	J	`jnl`	The multi-symplecticity of partitioned Runge-Kutta methods for Hamiltonian PDEs. Math. Comput. Jialin Hong, Hongyu Liu, Geng Sun
2005	J	`jnl`	The Computation of Lyapunov Exponents for Periodic Trajectories. Int. J. Bifurc. Chaos Jialin Hong
2003	J	`jnl`	A novel numerical approach to simulating nonlinear Schro"dinger equations with varying coefficients. Appl. Math. Lett. Jialin Hong, Ying Liu
2002	J	`jnl`	Multisymplecticity of the centred box discretization for hamiltonian PDEs with m >= 2 space dimensions. Appl. Math. Lett. Jialin Hong, Meng-Zhao Qin
2000	J	`jnl`	Almost periodic type solutions of differential equations with piecewise constant argument via almost periodic type sequences. Appl. Math. Lett. A. I. Alonso, Jialin Hong, Rafael Obaya
2000	J	`jnl`	Symplectic integrations of inear discontinuous hamiltonian systems and an application to the numerical simulation of bounded solutions. Neural Parallel Sci. Comput. Jialin Hong, Ying Liu