Author

Bingcheng Hu

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#machine learning Preprint Oct 2026

Physics-Informed Neural Plasticity: PDE Solvers That Reshape Themselves

Physics-informed neural PDE solvers adapt their parameters to satisfy governing equations, yet their representational structure typically remains fixed throughout training. This rigidity is poorly matched to PDE solutions with strongly heterogeneous complexity across space and space--time, leaving capacity insufficient...

Chun-Wun Cheng, Bing-Cheng Hu, A. Avilés-Rivero · 0 citations

Preprint Aug 2026

CARE-SAV: A Conditioning-Aware Random-Feature Framework for Energy-Stable Simulation of Gradient Flows

This work develops a Conditioning-Aware Representation Enhancement with Scalar Auxiliary Variable (CARE-SAV) framework, which constructs a compact spatial approximation space from flexible candidate features and evolves the gradient-flow dynamics directly within this space.

Bing-Cheng Hu, Zhao-Xiang Li · 0 citations