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Journal Articles
- 2023
[j6]Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang
:
Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction. J. Comput. Inf. Sci. Eng. 23(1) (2023)- [j5]Dehao Liu, Pranav Pusarla, Yan Wang:
Multifidelity Physics-Constrained Neural Networks With Minimax Architecture. J. Comput. Inf. Sci. Eng. 23(3) (2023) - 2022
- [j4]Anh Tran, Tim Wildey, Jing Sun, Dehao Liu, Yan Wang:
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution. J. Comput. Inf. Sci. Eng. 22(6) (2022) - 2021
- [j3]Dehao Liu, Yan Wang:
A Dual-Dimer method for training physics-constrained neural networks with minimax architecture. Neural Networks 136: 112-125 (2021) - 2020
- [j2]Dehao Liu, Yan Wang:
Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys. J. Comput. Inf. Sci. Eng. 20(5) (2020) - 2016
- [j1]Dehao Liu, Qian Wang:
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). 计算机科学 43(Z6): 99-102 (2016)
Conference and Workshop Papers
- 2010
- [c1]Deshi Liu, Gang Li, Xinglin Guo, Yonggang Shang, Dehao Liu:
Performance Optimization of Forging Manipulator during the Whole Forging Stroke. ICIRA (2) 2010: 305-316
Informal and Other Publications
- 2024
- [i3]Ming Zhong, Dehao Liu, Raymundo Arróyave, Ulisses Braga-Neto:
Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes. CoRR abs/2404.05817 (2024) - 2020
- [i2]Anh Tran, Jing Sun, Dehao Liu, Tim Wildey, Yan Wang:
Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. CoRR abs/2004.06487 (2020) - [i1]Dehao Liu, Yan Wang:
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture. CoRR abs/2005.00615 (2020)
Coauthor Index
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