Yang Liu
Orcid: 0000-0003-0127-4030Affiliations:
- University of the Chinese Academy of Sciences, School of Engineering Sciences, Beijing, China
- Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA, USA (2015 - 2017)
- Columbia University, Department of Civil Engineering and Engineering Mechanics, New York, NY, USA (PhD 2015)
According to our database1,
Yang Liu
authored at least 24 papers
between 2014 and 2024.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on mie.neu.edu
On csauthors.net:
Bibliography
2024
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.
Comput. Phys. Commun., 2024
P<sup>2</sup>C<sup>2</sup>Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.
CoRR, 2024
P<sup>2</sup>C<sup>2</sup>Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
J. Comput. Phys., November, 2023
Nat. Mac. Intell., July, 2023
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Comput. Phys. Commun., 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.
CoRR, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs.
CoRR, 2021
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Physics informed deep learning for computational elastodynamics without labeled data.
CoRR, 2020
CoRR, 2020
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization.
CoRR, 2020
2019
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling.
CoRR, 2019
2015
Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models.
Comput. Aided Civ. Infrastructure Eng., 2015
2014