Zhongkai Hao

6

Papers

14

Total Citations

Papers (6)

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

PAPM: A Physics-aware Proxy Model for Process Systems

Improved Operator Learning by Orthogonal Attention

Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations