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ORCIDHan Gao 0005
Person information
- affiliation: University of Notre Dame, Department of Aerospace and Mechanical Engineering, IN, USA
Other persons with the same name
- Han Gao — disambiguation page
- Han Gao 0001
![[0000-0001-6547-1557]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6547-1557")
— Huawei Technologies, Munich, Germany (and 1 more) - Han Gao 0002 — Technical University of Denmark, Informatics and Mathematical Modelling, DTU Informatics, Denmark
- Han Gao 0003 — China University of Petroleum, College of Oceanography and Space Informatics, Qingdao, Shandong, China (and 1 more)
- Han Gao 0004 — Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China (and 1 more)
- Han Gao 0006 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Hangzhou, China
- Han Gao 0007 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
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2020 – today
- 2023
[c4]Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu:
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model. NeurIPS 2023- [i7]Han Gao, Matthew J. Zahr:
An adaptive model reduction method leveraging locally supported basis functions. CoRR abs/2310.05379 (2023) - [i6]Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang:
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation. CoRR abs/2311.07896 (2023) - 2022
- [c3]Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu:
Predicting Physics in Mesh-reduced Space with Temporal Attention. ICLR 2022 - [c2]Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu:
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations. LoG 2022: 27 - [i5]Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu:
Predicting Physics in Mesh-reduced Space with Temporal Attention. CoRR abs/2201.09113 (2022) - [i4]Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Li-Ping Liu:
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations. CoRR abs/2211.14425 (2022) - 2021
- [j1]Han Gao, Luning Sun, Jian-Xun Wang:
PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain. J. Comput. Phys. 428: 110079 (2021) - [i3]Han Gao, Matthew J. Zahr, Jian-Xun Wang:
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems. CoRR abs/2107.12146 (2021) - 2020
- [c1]Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang:
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. PacificVis 2020: 71-80 - [i2]Han Gao, Jian-Xun Wang:
A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems. CoRR abs/2003.11912 (2020)
2010 – 2019
- 2019
- [i1]Han Gao, Jian-Xun Wang, Matthew J. Zahr:
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning. CoRR abs/1911.03808 (2019)
Coauthor Index
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