Sungbin Shin
Hi, I am a Ph.D student in computer science and engineering at POSTECH, advised by Prof. Namhoon Lee.
I am broadly interested in large-scale optimization for foundation models, with a focus on distributed and collaborative learning. I explore the algorithmic foundations that enable efficient, scalable training of billion-scale models across diverse participants, developing principled methods that push the boundaries of scalable machine learning.
Contact me via sungbin.shin@postech.ac.kr if you have any questions.
news
| Jul 2026 | I will be presenting our paper on basis rotation for asynchronous pipeline parallelism at ICML 2026 in Seoul 🇰🇷, including at the ICML Workshop: Protocol Learning organized by Pluralis Research. Come find me if you’re around, or feel free to reach out! |
|---|---|
| May 2026 | Honored to be recognized as a Gold Reviewer (Top 25%) for ICML2026! 🥇 |
| May 2026 | Our paper on asynchronous pipeline parallelism has been accepted at ICML 2026! See you in Seoul 🇰🇷! |
| Feb 2026 | Check out our new paper on asynchronous pipeline parallelism. |
| Nov 2025 | I began serving as a reviewer for TMLR. |