Dehao Liu

According to our database, Dehao Liu authored at least 9 papers between 2010 and 2024.

Collaborative distances:

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

2024

Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes.

Ming Zhong, Dehao Liu, Raymundo Arróyave, Ulisses Braga-Neto

CoRR, 2024

2023

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture.

Dehao Liu, Pranav Pusarla, Yan Wang

J. Comput. Inf. Sci. Eng., June, 2023

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction.

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

J. Comput. Inf. Sci. Eng., February, 2023

2022

A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution.

Anh Tran, Tim Wildey, Jing Sun, Dehao Liu, Yan Wang

J. Comput. Inf. Sci. Eng., 2022

2021

A Dual-Dimer method for training physics-constrained neural networks with minimax architecture.

Dehao Liu, Yan Wang

Neural Networks, 2021

2020

Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys.

Dehao Liu, Yan Wang

J. Comput. Inf. Sci. Eng., 2020

Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications.

Anh Tran, Jing Sun, Dehao Liu, Tim Wildey, Yan Wang

CoRR, 2020

2016

一种具有相依关系的二维云推理方法及其在预测中的应用 (Uncertainty Reasoning Based on Related Planar Cloud and Application in Prediction).

Dehao Liu, Qian Wang

计算机科学, 2016

2010

Performance Optimization of Forging Manipulator during the Whole Forging Stroke.

Deshi Liu, Gang Li, Xinglin Guo, Yonggang Shang, Dehao Liu

Proceedings of the Intelligent Robotics and Applications - Third International Conference, 2010