Author

Kai-Chuang Yang

2 papers indexed here

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Oct 2026

Thermal-node-link fast-FE model for deformation suppression in LWAM of thin-walled structures with machine learning assisted parameter optimization and prediction

A thermal-node-link Fast-FEM model for high-speed thermo-mechanical simulation of LWAM processes and achieves up to 41% deformation suppression in benchmark geometries, enabling high-precision deposition of LWAM components.

Kai-Chuang Yang, Hai-Tao Liu, Lei Wang et al. · Proceedings of the Instituti... · 0 citations

#machine learning Preprint Oct 2026

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach

INLA-SPDE Spatio-Temporal Bayesian Optimization is introduced, the first scalable BO framework for spatio-temporal data, that models the log-intensity with a Log-Gaussian Cox Process and performs inference via Integrated Nested Laplace Approximation and Stochastic Partial Differential Equations (INLA-SPDE) approach.

Kai-Chuang Yang, H. Rue, Jakob Zeitler · 0 citations