Skip to content
View RaptorMai's full-sized avatar
🏀
Let's go Raptors
🏀
Let's go Raptors

Highlights

  • Pro

Block or report RaptorMai

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RaptorMai/README.md

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, Multimodal LLM, Continual Learning. You can find more information about me at my personal page: https://zheda-mai.github.io/.

+ 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 contact me at [email protected] or by LinkedIn.

Zheda's github stats

ReadMe Card

ReadMe Card

ReadMe Card

ReadMe Card

Top Langs

Pinned Loading

  1. online-continual-learning online-continual-learning Public

    A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).

    Python 400 57

  2. CVPR20_CLVision_challenge CVPR20_CLVision_challenge Public

    1'st Place approach for CVPR 2020 Continual Learning Challenge

    Python 46 4

  3. CompBench CompBench Public

    [NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, …

    Jupyter Notebook 36 2

  4. OSU-MLB/ViT_PEFT_Vision OSU-MLB/ViT_PEFT_Vision Public

    [CVPR'25] Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition

    Jupyter Notebook 31