On Transfer Learning in Functional Linear Regression. - Haotian Lin 002; Matthew Reimherr (CoRR, 2022)

Differentially Private Functional Summaries via the Independent Component Laplace Process. - Haotian Lin 002; Matthew Reimherr (CoRR, 2023)

Smoothness Adaptive Hypothesis Transfer Learning. - Haotian Lin 002; Matthew Reimherr (ICML, 2024)

On Hypothesis Transfer Learning of Functional Linear Models. - Haotian Lin 002; Matthew Reimherr (ICML, 2024)

Model-Robust and Adaptive-Optimal Transfer Learning for Tackling Concept Shifts in Nonparametric Regression. - Haotian Lin 002; Matthew Reimherr (CoRR, 2025)