Shuixin Fang

According to our database, Shuixin Fang authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Deep Policy Iteration for High-Dimensional Mean-Field Games with Regenerative Reformulation.

Shuixin Fang, Shupeng Wang, Zhen Wu, Hui Zhang, Tao Zhou

CoRR, April, 2026

Deep random difference method for high-dimensional quasilinear parabolic partial differential equations.

Wei Cai, Shuixin Fang, Tao Zhou

J. Comput. Phys., 2026

2025

A derivative-free localized stochastic method for very high-dimensional semilinear parabolic PDEs.

Shuixin Fang, Changtao Sheng, Bihao Su, Tao Zhou

CoRR, October, 2025

Explicit Runge-Kutta schemes for Backward Stochastic Differential Equations.

Shuixin Fang, Weidong Zhao, Tao Zhou

CoRR, August, 2025

Deep random difference method for high dimensional quasilinear parabolic partial differential equations.

Wei Cai, Shuixin Fang, Tao Zhou

CoRR, June, 2025

SOC-MartNet: A Martingale Neural Network for the Hamilton-Jacobi-Bellman Equation Without Explicit \(\boldsymbol{\inf\nolimits_{u \in}}\)\(\boldsymbol{{}_{U}H}\) in Stochastic Optimal Controls.

Wei Cai, Shuixin Fang, Tao Zhou

SIAM J. Sci. Comput., 2025

2024

Renewable composite quantile method and algorithm for nonparametric models with streaming data.

Yan Chen, Shuixin Fang, Lu Lin

Stat. Comput., February, 2024

A Derivative-Free Martingale Neural Network Soc-Martnet For The Hamilton-Jacobi-Bellman Equations In Stochastic Optimal Controls.

Wei Cai, Shuixin Fang, Wenzhong Zhang, Tao Zhou

CoRR, 2024

SOC-MartNet: A Martingale Neural Network for the Hamilton-Jacobi-Bellman Equation without Explicit inf H in Stochastic Optimal Controls.

Wei Cai, Shuixin Fang, Tao Zhou

CoRR, 2024

2023

Strong Stability Preserving Multistep Schemes for Forward Backward Stochastic Differential Equations.

Shuixin Fang, Weidong Zhao, Tao Zhou

J. Sci. Comput., February, 2023