| A class of new Magnus-type methods for semi-linear non-commutative Ito stochastic differential equations G Yang, K Burrage, Y Komori, P Burrage, X Ding Numerical Algorithms, 1-25, 2021 | 16 | 2021 |
| Structure-preserving stochastic conformal exponential integrator for linearly damped stochastic differential equations G Yang, Q Ma, X Li, X Ding Calcolo 56, 1-20, 2019 | 6 | 2019 |
| Revisiting the central limit theorems for the SGD-type methods T Li, T Xiao, G Yang arXiv:2207.11755, 2022 | 5 | 2022 |
| A new class of structure-preserving stochastic exponential Runge-Kutta integrators for stochastic differential equations G Yang, K Burrage, Y Komori, X Ding BIT Numerical Mathematics, 2022 | 2 | 2022 |
| Numerical investigation of stochastic canonical Hamiltonian systems by high order stochastic partitioned Runge-Kutta methods G Yang, X Li, X Ding Communications in Nonlinear Science and Numerical Simulation 94, 105538, 2021 | 2 | 2021 |
| Formulae for mixed moments of Wiener processes and a stochastic area integral Y Komori, G Yang, K Burrage SIAM Journal on Numerical Analysis 61 (4), 1716-1736, 2023 | 1 | 2023 |
| On the Mathematics of RNA Velocity II: Algorithmic Aspects T Li, Y Wang, G Yang, P Zhou arXiv:2306.05707, 2023 | 1 | 2023 |
| A convergence study of SGD-type methods for stochastic optimization T Xiao, G Yang Numer. Math. Theor. Meth. Appl., 914-930, 2023 | | 2023 |
kevin burrageProfessor Computational Mathematics, Queensland University of TechnologyVerified email at qut.edu.au
