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Ilgee Hong

PhD Student
Georgia Institute of Technology
ihong39 (at) gatech.edu


About Me

Hello! I am a second-year Ph.D. student in Machine Learning at Georgia Institute of Technology, where I am advised by Prof. Tuo Zhao. Before attending GT, I received my M.S. degree in Statistics from the University of Chicago in 2023, where I was advised by Prof. Claire Donnat and Prof. Mladen Kolar. Prior to UChicago, I received my bachelor’s degree in Statistics at Yonsei University. At Yonsei, I was advised by Prof. Sangun Park.

Research Interests

Experience

Publications

  1. Robust Reinforcement Learning from Corrupted Human Feedback
    Alexander Bukharin*, Ilgee Hong*, Haoming Jiang*, Zichong Li*, Qingru Zhang*, Zixuan Zhang*, Tuo Zhao*
    NeurIPS 2024
    PDF
  2. Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
    Ilgee Hong*, Zichong Li*, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
    NeurIPS 2024
    PDF
  3. Who Wrote this Code? Watermarking for Code Generation
    Taehyun Lee*, Seokhee Hong*, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
    ACL 2024
    PDF Code
  4. Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
    Ilgee Hong*, Sen Na*, Michael W. Mahoney, Mladen Kolar
    ICML 2023
    PDF Code
  5. A Simplified Framework for Contrastive Learning for Node Representations
    Ilgee Hong, Huy Tran, Claire Donnat
    ACSSC 2023
    PDF Code