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. Some examples include collaboratively learning the billion-scale models over the internet and compressing large models for efficiency.
Contact me via sungbin.shin@postech.ac.kr if you have any questions.
news
| Feb 2026 | Our paper on asynchronous pipeline parallelism has been accepted at ICML 2026! See you in Seoul 🇰🇷! |
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| Feb 2026 | Check out our new paper on asynchronous pipeline parallelism. |
| Nov 2025 | I began serving as a reviewer for TMLR. |
| May 2025 | Our paper on sharpness-aware minimization has been accepted at UAI 2025! |
| Sep 2024 | Our paper on LLM pruning has been accepted at EMNLP 2024! |