Dehao Liu

14 papers Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Finite-Volume Physics-Informed U-Net for Flow Field Reconstruction With Sparse Data. J. Comput. Inf. Sci. Eng. Tong Zhu, Dehao Liu, Yanglong Lu
2025	J	`jnl`	GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects. CoRR Nathan Hoffman, Cashen Diniz, Dehao Liu, Theron Rodgers, Anh Tran, Mark D. Fuge
2025	J	`jnl`	Physics-Informed Machine Learning in Design and Manufacturing: Status and Challenges. J. Comput. Inf. Sci. Eng. Longye Pan, Guangfa Li, Tong Zhu, Dehao Liu, Yan Wang, Yanglong Lu
2025	J	`jnl`	Solving spatial-temporal PDEs with arbitrary boundary conditions using physics-constrained convolutional recurrent neural networks. Neurocomputing Guangfa Li, Yanglong Lu, Dehao Liu
2024	J	`jnl`	Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes. CoRR Ming Zhong, Dehao Liu, Raymundo Arróyave, Ulisses Braga-Neto
2023	J	`jnl`	Multifidelity Physics-Constrained Neural Networks With Minimax Architecture. J. Comput. Inf. Sci. Eng. Dehao Liu, Pranav Pusarla, Yan Wang
2023	J	`jnl`	Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction. J. Comput. Inf. Sci. Eng. Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang
2022	J	`jnl`	A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution. J. Comput. Inf. Sci. Eng. Anh Tran, Tim Wildey, Jing Sun, Dehao Liu, Yan Wang
2021	J	`jnl`	A Dual-Dimer method for training physics-constrained neural networks with minimax architecture. Neural Networks Dehao Liu, Yan Wang
2020	J	`jnl`	A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture. CoRR Dehao Liu, Yan Wang
2020	J	`jnl`	Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys. J. Comput. Inf. Sci. Eng. Dehao Liu, Yan Wang
2020	J	`jnl`	Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. CoRR Anh Tran, Jing Sun, Dehao Liu, Tim Wildey, Yan Wang
2016	J	`jnl`	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 Dehao Liu, Qian Wang
2010	—	`conf`	Performance Optimization of Forging Manipulator during the Whole Forging Stroke. ICIRA (2) Deshi Liu, Gang Li, Xinglin Guo, Yonggang Shang, Dehao Liu