代表作
1. Jiequn Han*, Jianfeng Lu, and Mo Zhou. "Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach." Journal of Computational Physics 423 (2020): 109792.
2. Mo Zhou, Jiequn Han*, Jianfeng Lu. Actor-Critic Method for High Dimensional Static Hamilton--Jacobi--Bellman Partial Differential Equations based on Neural Networks, SIAM Journal on Scientific Computing 43.6 (2021): A4043-A4066
3. Mo Zhou*, and Jianfeng Lu. "Single timescale actor-critic method to solve the linear quadratic regulator with convergence guarantees." Journal of Machine Learning Research 24.222 (2023): 1-34.
4. Mo Zhou*, and Jianfeng Lu. "A policy gradient framework for stochastic optimal control problems with global convergence guarantee." SIAM Journal on Control and Optimization 63.4 (2025): 2605-2631.
5. Mo Zhou, Stanley Osher, and Wuchen Li*. "Score-based neural ordinary differential equations for computing mean field control problems." Journal of Computational Physics (2025): 114369.
