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Yang Liu 0130
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Publications
- 2023
- [j5]Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun:
PhySR: Physics-informed deep super-resolution for spatiotemporal data. J. Comput. Phys. 492: 112438 (2023) - [j4]Chengping Rao, Pu Ren, Qi Wang, Oral Buyukozturk, Hao Sun, Yang Liu:
Encoding physics to learn reaction-diffusion processes. Nat. Mac. Intell. 5(7): 765-779 (2023) - [c4]Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun:
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. ICLR 2023 - 2022
- [j3]Zhao Chen, Yang Liu, Hao Sun:
Forecasting of nonlinear dynamics based on symbolic invariance. Comput. Phys. Commun. 277: 108382 (2022) - [c3]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. ICLR 2022 - [c2]Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. IJCAI 2022: 3898-3904 - [i16]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. CoRR abs/2201.12354 (2022) - [i15]Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. CoRR abs/2205.01314 (2022) - [i14]Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun:
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. CoRR abs/2205.13134 (2022) - [i13]Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun:
Physics-informed Deep Super-resolution for Spatiotemporal Data. CoRR abs/2208.01462 (2022) - [i12]Pu Ren, Chengping Rao, Su Chen, Jian-sun Wang, Hao Sun, Yang Liu:
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. CoRR abs/2210.14044 (2022) - 2021
- [c1]Fangzheng Sun, Yang Liu, Hao Sun:
Physics-informed Spline Learning for Nonlinear Dynamics Discovery. IJCAI 2021: 2054-2061 - [i11]Chengping Rao, Hao Sun, Yang Liu:
Hard Encoding of Physics for Learning Spatiotemporal Dynamics. CoRR abs/2105.00557 (2021) - [i10]Fangzheng Sun, Yang Liu, Hao Sun:
Physics-informed Spline Learning for Nonlinear Dynamics Discovery. CoRR abs/2105.02368 (2021) - [i9]Lele Luan, Yang Liu, Hao Sun:
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos. CoRR abs/2106.04776 (2021) - [i8]Chengping Rao, Hao Sun, Yang Liu:
Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data. CoRR abs/2106.04781 (2021) - [i7]Pu Ren, Chengping Rao, Yang Liu, Jian-Xun Wang, Hao Sun:
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. CoRR abs/2106.14103 (2021) - 2020
- [i6]Chengping Rao, Yang Liu:
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization. CoRR abs/2002.07600 (2020) - [i5]Ruiyang Zhang, Yang Liu, Hao Sun:
Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures. CoRR abs/2002.10253 (2020) - [i4]Chengping Rao, Hao Sun, Yang Liu:
Physics-informed deep learning for incompressible laminar flows. CoRR abs/2002.10558 (2020) - [i3]Zhao Chen, Yang Liu, Hao Sun:
Deep learning of physical laws from scarce data. CoRR abs/2005.03448 (2020) - [i2]Chengping Rao, Hao Sun, Yang Liu:
Physics informed deep learning for computational elastodynamics without labeled data. CoRR abs/2006.08472 (2020) - 2019
- [i1]Ruiyang Zhang, Yang Liu, Hao Sun:
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling. CoRR abs/1909.08118 (2019) - 2015
- [j2]Hao Sun, Dongming Feng, Yang Liu, Maria Q. Feng:
Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models. Comput. Aided Civ. Infrastructure Eng. 30(11): 843-858 (2015)
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