Xiaowei Jin

发表

Machine learning modeling for the near-wake mean velocity deficit profiles behind a rough circular cylinder

Shujin Laima, Hui Li, Junyi Mi, 2022, Ocean Engineering.

General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning

Hui Li, Xiaowei Jin, Shiyin Wei, 2019, Computational Mechanics.

Time-resolved reconstruction of flow field around a circular cylinder by recurrent neural networks based on non-time-resolved particle image velocimetry measurements

Wenliang Chen, Hui Li, Shujin Laima, 2020, Experiments in Fluids.

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

George Em Karniadakis, Hui Li, Xiaowei Jin, 2020, J. Comput. Phys..

Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder

Hui Li, Xiaowei Jin, Wen-Li Chen, 2018 .

A novel long short-term memory neural-network-based self-excited force model of limit cycle oscillations of nonlinear flutter for various aerodynamic configurations

Hui Li, Xiaowei Jin, Shujin Laima, 2020 .

Time-resolved reconstruction of flow field around a circular cylinder by recurrent neural networks based on non-time-resolved particle image velocimetry measurements

Hui Li, Shujin Laima, Xiaowei Jin, 2020 .

Intelligent modeling of nonlinear dynamical systems by machine learning

Yong Huang, Hui Li, Shujin Laima, 2022, International Journal of Non-Linear Mechanics.

General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning

Shiyin Wei, Xiaowei Jin, Hui Li, 2018, Computational Mechanics.

A machine learning based solver for pressure Poisson equations

Hui Li, Xiaowei Jin, Ruilin Chen, 2022, Theoretical and Applied Mechanics Letters.

Discovering Governing Equations by Machine Learning implemented with Invariance

Hui Li, Chao Chen, Xiaowei Jin, 2022, ArXiv.

A novel long short-term memory neural-network-based self-excited force model of limit cycle oscillations of nonlinear flutter for various aerodynamic configurations

Hui Li, W. Yuan, Shujin Laima, 2020, Nonlinear dynamics.

DeepTRNet: Time-resolved reconstruction of flow around a circular cylinder via spatiotemporal deep neural networks

Hui Li, Shujin Laima, Donglai Gao, 2022, Physics of Fluids.

Damage identification of long-span bridges based on the correlation of probability distribution of monitored quasi-static responses

Haiyang Li, Zhicheng Chen, Xiaowei Jin, 2023, Mechanical Systems and Signal Processing.

Cascade-Net for predicting cylinder wake at Reynolds numbers ranging from subcritical to supercritical regime

Hui Li, Junyi Mi, Xiaowei Jin, 2023, Physics of Fluids.

General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning pdf

Shiyin Wei, Hui Li, Xiaowei Jin, 2018, Computational Mechanics.

Identification of the form of self-excited aerodynamic force of bridge deck based on machine learning

Shujin Laima, Xiaowei Jin, Wenjie Li, 2024, Physics of Fluids.