姓  名：熊美馨

职  称：讲师

电子邮箱：xmx2023@fjut.edu.cn

教育背景：

理学学士 (数学与应用数学), 福州大学, 中国, 2017;

理学博士 (计算数学), 华中科技大学, 中国, 2023.

讲授课程:

数值分析、深度学习、数据库应用技术等

研究领域:

不确定性量化，反问题，微分方程数值解，最优控制

科研项目（纵向、横向）：

1.福建理工大学科研启动基金项目，统计方法在高精度代理模型中的应用（项目编号：GY-Z23209），2023.10-2026.10，8万元，在研，主持。

2.福建理工大学科研启动基金项目，大型稀疏复非线性方程组迭代解法研究（项目编号：GY-Z24010），2024.01-2027.03，8万元，在研，参与。

代表性论文：

1. Meixin Xiong, Jie Zhu, Yujun Zhu, Ju Ming*, Xingchen Pan; Clustering based multiple anchors highdimensional model representation, International Journal for Uncertainty Quantification,2025.

2. Meixin Xiong, Liuhong Chen, Ju Ming*, Quantify uncertainty by estimating the probability

density function of the output of interest using MLMC based Bayes method, Discrete and Continuous Dynamical Systems-series B, 28(1), pp. 707-721, 2023.

3. Meixin Xiong, Liuhong Chen, Ju Ming*, Lisheng Hou, Cluster-based gradient method for

stochastic optimal control problems with elliptic partial differential equation constraint,

Numerical Methods for Partial Differential Equations, 38(6), pp. 1861-1879, 2022.

4. Meixin Xiong, Liuhong Chen, Ju Ming*, Jaemin Shin, Accelerating the Bayesian inference of inverse problems by using data-driven compressive sensing method based on proper orthogonal decomposition, Electronic Research Archive, 29(5), pp. 3383-3404, 2021.

5. Liuhong Chen, Meixin Xiong, Ju Ming*, Xiaoming He,Efficient mini-batch stochastic gradient descent with Centroidal Voronoi Tessellation for PDE-constrained optimization under uncertainty, PHYSICA D-NONLINEAR PHENOMENA, 467, 2024.

6. Liuhong Chen, Meixin Xiong, Ju Ming*, Reduced approach for stochastic optimal control problems, International Journal of Numerical Analysis & Modeling, 19(2-3), pp. 237-254, 2022.