WORK WITH ME?


I am looking for self-motivated graduate students and postdocs who are interested in making ML more efficient.

RESEARCH TOPICS

Simply put, I am trying to figure out how to survive the age of large-scale ML models—neural nets are growing rapidly in size, making the training / inference / other costs unaffordable. This trend opens up many research questions that are left for us to answer, including:

  • Compression: How can we make an already-trained model smaller, so that everybody (with a tiny hardware) can use it?
  • TinyML: How can we effectively train a neural net on a tiny device? If we can communicate with a large-scale model, how much can it help?
  • Efficient Models: Can we make a new model, that is both expressive enough to learn the target function, and light enough to be trained with a small training budget?

I hope to use every tool at hand—algorithm, theory, system-level tricks—that is required to address this challenge.

NOTE: If your interest is something other than efficient ML, but somehow like me a lot so that you want to work with me, you can still contact me to figure out what are other options.

IF YOU ARE INTERESTED…

Please send me an email right away: (firstname).(lastname) (at) postech.ac.kr
To make things faster, attach a CV/transcript/portfolio/anything-similar.

This is not a part of the formal application process (i.e., you should apply to POSTECH EE formally), but perhaps I could walk you through the problems that I am working on, and the recruiting policy of this year.

While waiting for me to answer your emails, you can take a look at these notes: For Graduate students | For Postdocs

Jaeho Lee

ML researcher who also teaches. (firstname).(lastname) (at) postech.ac.kr