Kwanhee Lee

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Hi, I’m a second-year Master’s student at Graduate School of Artificial Intelligence, POSTECH, advised by Prof. Namhoon Lee

I design optimization algorithms for scalable and robust compression of large language models, aiming to make them efficient and usable for everyone.

If you have any questions or want to collaborate with me, feel free to reach me via kwanhee.lee@postech.ac.kr

news

Nov 17, 2025 Our new paper on extreme LLM sparsity won Best Paper Award at JKAIA 2025!
Aug 02, 2025 Our paper on dynamic network pruning has been accepted to Neural Networks (Q1, SCI)!
Jun 10, 2025 Will be attending ICML 2025 in person! See you in Vancouver :D
May 01, 2025 My first co-authored paper, SAFE, has been accepted to ICML 2025 as a spotlight poster (top 2.6%)!
Aug 04, 2024 Joined LOG @ POSTECH. Thrilled to start a new journey as a master’s student!

selected publications

  1. The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
    Kwanhee Lee, Hyeondo Jang, Dongyeop Lee, and 2 more authors
    2025
    Best Paper Award @ JKAIA 2025
    arXiv
  2. SAFE: Finding Sparse and Flat Minima to Improve Pruning
    Dongyeop Lee, Kwanhee Lee, Jinseok Chung, and 1 more author
    In ICML, 2025
    spotlight(top 2.6%) poster
    arXiv Code
  3. Dynamic Network Compression via Probabilistic Channel Pruning
    Kwanhee Lee, and Hyang-Won Lee
    Neural Networks, 2026
    to appear