Zeyu Dong is a PhD candidate in Applied Math & Statistics at Stony Brook University, advised by Prof. Dantong Yu. His research centers on deep learning and computer vision method in robotics and control. Particularly, he focuses on generalization and domain adaptation in end-to-end autonomous driving. Zeyu has published in top-tier conferences, including ICLR 2025 and CoRL 2024. He also serves on the review boards of IROS 2025, ICLR 2025, IEEE BigData 2024, and IIKI 2024. Prior to his PhD, he earned his B.S. in Mathematics from the Southern University of Science and Technology (SUSTech) in 2020.