My name is Zheda(Marco) Mai, and I am a third-year Ph.D. student from the Department of Computer Science and Engineering at the Ohio State University, advised by Professor Wei-Lun (Harry) Chao. My research interests lie in Efficient Foundation Model Adaptation (CVPR23, NeurIPS23, NeurIPS24), Multimodal LLM (NeurIPS24), Continual Learning (AAAI-21, CVPR21-W, Neurocomputing, 1st place of CVPR20-Competition, AIJ), Learning with Imperfect Data (NeurIPS23-W).
+ I am actively looking for a research internship!
+ If you are aware of any opportunities or have any recommendations,
+ I would greatly appreciate your insights and referrals. Please feel free to reach out!
I obtained my MASc. from the University of Toronto advised by Prof. Scott Sanner. I mostly worked on Continual Learning and Recommender Systems during my master collaborating with LG AI Research.
Prior to that, I completed my BASc. in Engineering Science at the University of Toronto, where I was fortunate to work with Dr. Erkang Zhu.
You can find more information about me at my personal page: https://zheda-mai.github.io/.
You can contact me at [email protected] or by LinkedIn.