About Me
I’m currently pursuing a Master’s in AI at CVML Lab, KAIST. I earned my Bachelor’s degree in Cyber Defense from Korea University.
I am deeply interested in enhancing the efficiency of deep learning models, not only from a software perspective but also by focusing on hardware and system-aware optimization. While my work has primarily focused on diffusion model quantization, my broader goal is to eliminate redundancies in computationally intensive models to achieve sustainable AI.
Education
- M.S. in Artificial Intelligence, KAIST, 2023.02-2025.02
- B.S. in Cyber Defense, Korea University, 2019.03-2023.02
News
- [Jan. 2025] Our paper about Diffusion Quantization is accepted to ICLR 2025.
- [Jun. 2024] Our paper about Quantization-aware Fine-Tuning is accepted to ECCV 2024.
Publications
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ICLR
Hyogon Ryu, NaHyeon Park, Hyunjung Shim
International Conference on Learning Representations (ICLR), 2025.
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ECCV
Hyogon Ryu, Seohyun Lim, Hyunjung Shim
European Conference on Computer Vision (ECCV), 2024.
Work Experiences
- Naver Corp. (2022.01-2022.02)
- Software Engineer Internship, Dept. of Multimodal Applications
- Project: Extracting Trivia Sentence from Unstructured Text Data and Search Engine Improvement.
- AI Research Lab, Korea university (2021.01-2021.12)
- Undergraduate Research Student (Advisor: Sangkyun Lee)
- Project: Energy Backdoor Attacks on Deep Learning Models
Services
Conference Reviewers