Han Gao

12 papers A* 2B 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
An adaptive model reduction method leveraging locally supported basis functions.
CoRR
Han Gao, Matthew J. Zahr
2023 J jnl
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation.
CoRR
Han Gao, Xu Han, Xiantao Fan, Luning Sun, Li-Ping Liu, Lian Duan, Jian-Xun Wang
2023 A* conf
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model.
NeurIPS
Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu
2022 — conf
PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations.
LoG
Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu
2022 J jnl
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations.
CoRR
Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Li-Ping Liu
2022 A* conf
Predicting Physics in Mesh-reduced Space with Temporal Attention.
ICLR
Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu
2022 J jnl
Predicting Physics in Mesh-reduced Space with Temporal Attention.
CoRR
Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Li-Ping Liu
2021 J jnl
PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain.
J. Comput. Phys.
Han Gao, Luning Sun, Jian-Xun Wang
2021 J jnl
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems.
CoRR
Han Gao, Matthew J. Zahr, Jian-Xun Wang
2020 J jnl
A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems.
CoRR
Han Gao, Jian-Xun Wang
2020 B conf
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
PacificVis
Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang
2019 J jnl
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning.
CoRR
Han Gao, Jian-Xun Wang, Matthew J. Zahr