I am a PhD student at MIP Lab at Pohang University of Science and Technology (POSTECH), currently advised by Prof. Won Hwa Kim. If you are interested in collaborating with me on research projects, please contact me! Here is my CV.

My primary research interest includes:

• Generative AI
• Medical Imaging
• Graph Machine Learning

🔥 News

• 2026.02:  🎊🎊 Won the Bronze prize in Samsung Humantech Paper Award.
• 2026.02:  🎊🎊 Won the Silver prize in 38th Workshop on Image Processing and Image Understanding (IPIU).
• 2026.01:  🎊🎊 Won the Excellence paper award from the Graduate School of AI, POSTECH.
• 2025.11:  🎊🎊 Won the POSTECHIAN Fellowship.
• 2025.06:  🎉🎉 A paper accepted to MICCAI 2025 (early accepted, top 9%).
• 2025.01:  🎉🎉 A paper accepted to ICLR 2025
• 2024.05:  🎉🎉 A paper accepted to MICCAI 2024 (early accepted, top 11%).
• 2023.09:  🎉🎉 A paper accepted to NeurIPS 2023
• 2022.08:  🤘🤘 Excited to start my Ph.D. program at POSTECH!

📝 Publications

• Mark4D: Temporally-Consistent Watermarking for 4D Gaussian Splatting

  [paper]
  Jaejin Lee *, Minjae Jeong *, Joonhyuk Park, Yechan Hwang, Seunghun Baek, Won Hwa Kim (*: equal contribution)
  Under review
  [Silver prize at 38th Workshop on Image Processing and Image Understanding (IPIU)]

• Mixture of Spectral Wavelets on Simplicial Complex: Analysis of Brain Connectome with Neurodegeneration

  [paper]
  Yechan Hwang *, Minjae Jeong *, Jaeyoon Sim, Won Hwa Kim (*: equal contribution)
  Under review
  [Bronze prize at 32th Samsung Humantech Paper Award]

• MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations

  [paper]
  Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim
  Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025
  [Early Accept: ~9%]

• HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining

  [paper]
  Minjae Jeong *, Yechan Hwang *, Jaejin Lee, Sungyoon Jung, Won Hwa Kim (*: equal contribution)
  International Conference on Learning Representations (ICLR) 2025
  [Excellence paper award from the Graduate School of AI, POSTECH]

• Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

  [paper]
  Minjae Jeong *, Hyuna Cho *, Sungyoon Jung, Won Hwa Kim (*: equal contribution)
  Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024
  [Early Accept: ~11%]

• Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion

  [paper]
  Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
  Neural Information Processing Systems (NeurIPS) 2023

📖 Educations

• 2022.09 - Present, Ph.D. in Graduate School of Artificial Intelligence, POSTECH.
• 2018.03 - 2022.08, B.S. in Electrical Engineering and Computer Science, GIST.

💻 Work Experience

• 2021.09 - 2022.08, Undergraduate Research Intern at ViRL-Lab, GIST, Gwangju, South Korea. Prof: Jeany Son
• 2021.06 - 2021.08, Undergraduate Intern at Creaty, Gwangju, South Korea.
• 2019.04 - 2019.07, Undergraduate Intern at Shinhan Securities, FICC Team, Seoul, South Korea.

👨‍🏫 Teaching Experience

• 2025.08 - 2024.09, Teaching Assistant for AI & Big Data Academy (MOOC) at POSCO, Pohang, Republic of Korea.
• 2024.08 - 2024.12, Teaching Assistant for Programming & Problem solving (CSED101) at POSTECH, Pohang, Republic of Korea.
• 2023.06, Teaching Assistant for AI & Big Data Academy at POSCO, Pohang, Republic of Korea.
• 2023.02 - 2023.06, Teaching Assistant for Data Structure class (CSE/CSED233) at POSTECH, Pohang, Republic of Korea.
• 2022.03 - 2022.06, Teaching Assistant for Object-Oriented Programming class (EECS/GS2408) at GIST, Gwangju, Republic of Korea.
• 2021.09 - 2021.12, Teaching Assistant for Computer programming class (EECS/GS1401) at GIST, Gwangju, Republic of Korea.