Explicit θ-Schemes for Solving Anticipated Backward Stochastic Differential Equations. - Mingshang Hu; Lianzi Jiang (CoRR, 2019)

Numerical Schemes for Backward Stochastic Differential Equations Driven by $G$-Brownian motion. - Mingshang Hu; Lianzi Jiang (CoRR, 2019)

An Effective Discrete Recursive Method for Stochastic Optimal Control Problems. - Mingshang Hu; Lianzi Jiang (CoRR, 2020)

An Efficient Numerical Method for Forward-Backward Stochastic Differential Equations Driven by G-Brownian motion. - Mingshang Hu; Lianzi Jiang (CoRR, 2020)

Discrete time approximation of fully nonlinear HJB equations via stochastic control problems under the G-expectation framework. - Lianzi Jiang (CoRR, 2021)

A monotone scheme for nonlinear partial integro-differential equations with the convergence rate of α-stable limit theorem under sublinear expectation. - Mingshang Hu; Lianzi Jiang; Gechun Liang (CoRR, 2021)

Error estimates for the robust α-stable central limit theorem under sublinear expectation by discrete approximation method. - Lianzi Jiang (CoRR, 2023)

Convergence rates for Chernoff-type approximations of convex monotone semigroups. - Jonas Blessing; Lianzi Jiang; Michael Kupper; Gechun Liang (CoRR, 2023)

On the rate of convergence for an α-stable central limit theorem under sublinear expectation. - Mingshang Hu; Lianzi Jiang; Gechun Liang (J. Appl. Probab., 2025)

A Novel Framework for Significant Wave Height Prediction based on Adaptive Feature Extraction Time-Frequency Network. - Jianxin Zhang; Lianzi Jiang; Xinyu Han; Xiangrong Wang (CoRR, 2025)

E2E-FANet: A Highly Generalizable Framework for Waves prediction Behind Floating Breakwaters via Exogenous-to-Endogenous Variable Attention. - Jianxin Zhang; Lianzi Jiang; Xinyu Han; Xiangrong Wang; Weinan Huang (CoRR, 2025)

Probabilistic approximation of fully nonlinear second-order PIDEs with convergence rates for the universal robust limit theorem. - Lianzi Jiang; Mingshang Hu; Gechun Liang (CoRR, 2025)