A deep learning method for solving Fokker-Planck equations J Zhai, M Dobson, Y Li Mathematical and Scientific Machine Learning (MSML21), 2021 | 16 | 2021 |

A general Itô formula for adapted and instantly independent stochastic processes CR Hwang, HH Kuo, K Saitô, J Zhai Communications on Stochastic Analysis 10 (3), 5, 2016 | 16 | 2016 |

An efficient data-driven solver for Fokker-Planck equations: algorithm and analysis M Dobson, Y Li, J Zhai arXiv preprint arXiv:1906.02600, 2019 | 10 | 2019 |

Convergence analysis of a finite element approximation of minimum action methods X Wan, H Yu, J Zhai SIAM Journal on Numerical Analysis 56 (3), 1597-1620, 2018 | 10 | 2018 |

Using coupling methods to estimate sample quality of stochastic differential equations M Dobson, Y Li, J Zhai SIAM/ASA Journal on Uncertainty Quantification 9 (1), 135-162, 2021 | 9 | 2021 |

Near-martingale property of anticipating stochastic integration CR Hwang, HH Kuo, K Saito, J Zhai Communications on Stochastic Analysis 11 (4), 491-504, 2017 | 9 | 2017 |

Stochastic differential equations with anticipating initial conditions HH Kuo, S Sinha, J Zhai Communications on Stochastic Analysis 12 (4), 6, 2018 | 8 | 2018 |

A minimum action method for dynamical systems with constant time delays X Wan, J Zhai SIAM Journal on Scientific Computing 43 (1), A541-A565, 2021 | 3 | 2021 |

General Stochastic Integral and Itô Formula with Application to Stochastic Differential Equations and Mathematical Finance J Zhai Louisiana State University and Agricultural & Mechanical College, 2018 | 2 | 2018 |

Yao Li. A deep learning method for solving fokker-planck equations J Zhai, M Dobson arXiv preprint arXiv:2012.10696, 2020 | | 2020 |

point and property in generalized Orlicz spaces with Luxemburg norm SHI Zhong-rui, Z Jia-yu Journal of East China Normal University (Natural Science) 2012 (1), 63, 2012 | | 2012 |