Feng Bao

Feng Bao

Florida State University

H-index: 13

North America-United States

About Feng Bao

Feng Bao, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Florida State University, specializes in the field of Data Assimilation, Stochastic Optimal Control, Machine Learning, Uncertainty Quantification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks

Transferable Neural Networks for Partial Differential Equations

Solving high dimensional FBSDE with deep signature techniques with application to nonlinear options pricing

Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation

Improving the expressive power of deep neural networks through integral activation transform

A Unified Filter Method for Jointly Estimating State and Parameters of Stochastic Dynamical Systems via the Ensemble Score Filter

An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems

A stochastic maximum principle approach for reinforcement learning with parameterized environment

Feng Bao Information

University

Position

Assistant Professor of Mathematics

Citations(all)

429

Citations(since 2020)

367

Cited By

158

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Feng Bao Skills & Research Interests

Data Assimilation

Stochastic Optimal Control

Machine Learning

Uncertainty Quantification

Top articles of Feng Bao

Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks

SIAM Journal on Numerical Analysis

2024/4/30

Transferable Neural Networks for Partial Differential Equations

Journal of Scientific Computing

2024/4

Solving high dimensional FBSDE with deep signature techniques with application to nonlinear options pricing

arXiv preprint arXiv:2402.06042

2024/2/8

Hui Sun
Hui Sun

H-Index: 11

Feng Bao
Feng Bao

H-Index: 8

Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation

Journal of Machine Learning for Modeling and Computing

2024

Improving the expressive power of deep neural networks through integral activation transform

arXiv preprint arXiv:2312.12578

2023/12/19

Zezhong Zhang
Zezhong Zhang

H-Index: 0

Feng Bao
Feng Bao

H-Index: 8

A Unified Filter Method for Jointly Estimating State and Parameters of Stochastic Dynamical Systems via the Ensemble Score Filter

arXiv preprint arXiv:2312.10503

2023/12/16

Feng Bao
Feng Bao

H-Index: 8

Zezhong Zhang
Zezhong Zhang

H-Index: 0

An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems

arXiv preprint arXiv:2309.00983

2023/9/2

Feng Bao
Feng Bao

H-Index: 8

Zezhong Zhang
Zezhong Zhang

H-Index: 0

A stochastic maximum principle approach for reinforcement learning with parameterized environment

Journal of Computational Physics

2023/9/1

Feng Bao
Feng Bao

H-Index: 8

Jiongmin Yong
Jiongmin Yong

H-Index: 27

Splitting scheme for backward doubly stochastic differential equations

Advances in Computational Mathematics

2023/8

A score-based nonlinear filter for data assimilation

arXiv preprint arXiv:2306.09282

2023/6/15

Feng Bao
Feng Bao

H-Index: 8

Zezhong Zhang
Zezhong Zhang

H-Index: 0

A Sample-Wise Data Driven Control Solver for the Stochastic Optimal Control Problem with Unknown Model Parameters

Communications in Computational Physics

2023/6

Robust charge-density-wave correlations in the electron-doped single-band Hubbard model

Nature Communications

2023/5/20

Feng Bao
Feng Bao

H-Index: 8

TransNet: Transferable Neural Networks for Partial Differential Equations

arXiv preprint arXiv:2301.11701

2023/1/27

A score-based filter for nonlinear data assimilation

Available at SSRN 4534381

2023

Feng Bao
Feng Bao

H-Index: 8

Zezhong Zhang
Zezhong Zhang

H-Index: 0

Parameter Estimation for the Truncated KdV Model through a Direct Filter Method

Journal of Machine Learning for Modeling and Computing

2023

Hui Sun
Hui Sun

H-Index: 11

Feng Bao
Feng Bao

H-Index: 8

A PDE-based adaptive kernel method for solving optimal filtering problems

Journal of Machine Learning for Modeling and Computing

2022

Zezhong Zhang
Zezhong Zhang

H-Index: 0

Feng Bao
Feng Bao

H-Index: 8

Convergence analysis for training stochastic neural networks via stochastic gradient descent

arXiv preprint arXiv:2212.08924

2022/12/17

Strain-Induced asymmetry and on-site dynamics of silicon defects in graphene

Carbon Trends

2022/10/1

Feng Bao
Feng Bao

H-Index: 8

An Online Method for the Data Driven Stochastic Optimal Control Problem with Unknown Model Parameters

arXiv e-prints

2022/8

Feng Bao
Feng Bao

H-Index: 8

Jiongmin Yong
Jiongmin Yong

H-Index: 27

Kernel learning backward SDE filter for data assimilation

Journal of Computational Physics

2022/4/15

Feng Bao
Feng Bao

H-Index: 8

See List of Professors in Feng Bao University(Florida State University)

Co-Authors

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