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Yanjia Wang

1 accepted papers

2026

From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining

ICLR 2026poster

Industrial design evaluation often relies on high-fidelity simulations of governing partial differential equations (PDEs). While accurate, these simulations are computationally expensive, making dense exploration of design spaces impractical. Operator learning has emerged as a promising approach to…

Cited by 0SourceScholar