Hao Sun
Orcid: 0000-0002-5145-3259Affiliations:
- Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
- Northeastern University, Department of Civil and Environmental Engineering, Lab for Infrastructure Sensing and Data Science, Boston, MA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA
- Columbia University, New York, NY, USA (PhD 2014)
According to our database1,
Hao Sun
authored at least 51 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, July, 2025
ACM Trans. Inf. Syst., March, 2025
CoRR, March, 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation.
CoRR, January, 2025
Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network.
Comput. Phys. Commun., 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Nat. Mac. Intell., 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
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.
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
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
J. Comput. Phys., November, 2023
Nat. Mac. Intell., July, 2023
CoRR, 2023
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain.
CoRR, 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
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.
CoRR, 2022
Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning.
CoRR, 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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
Extracting full-field subpixel structural displacements from videos via deep learning.
CoRR, 2020
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting.
CoRR, 2020
Physics informed deep learning for computational elastodynamics without labeled data.
CoRR, 2020
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
A Hybrid Optimization Algorithm with Bayesian Inference for Probabilistic Model Updating.
Comput. Aided Civ. Infrastructure Eng., 2015