Diancong Jin - RankMe

18 papers Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asymptotic error distribution for tamed Euler method with coupled monotonicity condition. CoRR Xinjie Dai, Diancong Jin, Jiaoyang Xu
2026	J	`jnl`	Asymptotic error distribution of Mittag-Leffler Euler method for a fractional stochastic differential equation. CoRR Xinjie Dai, Baiping Zhang, Diancong Jin
2025	J	`jnl`	Asymptotic error distribution for stochastic Runge-Kutta methods of strong order one. CoRR Diancong Jin
2025	J	`jnl`	Asymptotic error distribution of numerical methods for parabolic SPDEs with multiplicative noise. CoRR Jialin Hong, Diancong Jin, Xu Wang
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`	Density functions for the overdamped generalized Langevin equation and its Euler-Maruyama method: smoothness and convergence. CoRR Xinjie Dai, Diancong Jin
2023	J	`jnl`	Asymptotics of large deviations of finite difference method for stochastic Cahn-Hilliard equation. CoRR Diancong Jin, Derui Sheng
2023	J	`jnl`	Central limit theorem for temporal average of backward Euler-Maruyama method. CoRR Diancong Jin
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
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`	Finite difference method for stochastic Cahn-Hilliard equation: Strong convergence rate and density convergence. CoRR Jialin Hong, Diancong Jin, Derui Sheng
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`	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
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
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