Han Gao

Affiliations:
  • University of Notre Dame, Department of Aerospace and Mechanical Engineering, IN, USA


According to our database1, Han Gao authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation.
CoRR, 2023

An adaptive model reduction method leveraging locally supported basis functions.
CoRR, 2023

Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations.
Proceedings of the Learning on Graphs Conference, 2022

Predicting Physics in Mesh-reduced Space with Temporal Attention.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain.
J. Comput. Phys., 2021

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems.
CoRR, 2021

2020
A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems.
CoRR, 2020

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning.
CoRR, 2019


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