Guang Lin
Results
![Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression](https://global-sci.com/images/articles/79741.png?w=270&h=&fit=&c=2&assets_cache=20250108060614&bg=white)
Journal Article
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
Communications in Computational Physics, Vol. 28 (2020), Iss. 5 : pp. 1812–1837
![High-Dimensional Nonlinear Multi-Fidelity Model with Gradient-Free Active Subspace Method](https://global-sci.com/images/articles/79745.png?w=270&h=&fit=&c=2&assets_cache=20241112043039&bg=white)
Journal Article
High-Dimensional Nonlinear Multi-Fidelity Model with Gradient-Free Active Subspace Method
Communications in Computational Physics, Vol. 28 (2020), Iss. 5 : pp. 1937–1969
![MFPC-Net: Multi-Fidelity Physics-Constrained Neural Process](https://global-sci.com/images/articles/82393.png?w=270&h=&fit=&c=2&assets_cache=20241112054629&bg=white)
Journal Article
MFPC-Net: Multi-Fidelity Physics-Constrained Neural Process
CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 4 : pp. 715–739
![Batch Normalization Preconditioning for Stochastic Gradient Langevin Dynamics](https://global-sci.com/images/articles/87596.png?w=270&h=&fit=&c=2&assets_cache=20250119060950&bg=white)
Journal Article
Batch Normalization Preconditioning for Stochastic Gradient Langevin Dynamics
Journal of Machine Learning, Vol. 2 (2023), Iss. 1 : pp. 65–82