I am a PhD Candidate 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
- 2026.06: 🎉🎉 A paper accepted to ECCV 2026.
- 2026.06: 🎉🎉 2 papers in total accepted to MICCAI 2026
- 2026.05: 🎉🎉 A paper accepted to MICCAI 2026 (early accepted, top 9%).
- 2026.02: 🎉🎉 A paper accepted to CVPR 2026
- 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: 🤘🤘 Passed Qual Exam! Now, I’m a Ph.D Candidate!
- 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
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GuardFlow: Image Immunization via Trajectory Disruption against Flow-Based Image Editing [paper] Seungjoo Lee*, Minjae Jeong*, Jaejin Lee, Won Hwa Kim (* equal contribution) UnderReview |
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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) UnderReview Bronze prize at 32th Samsung Humantech Paper Award |
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TopoGIP: Topology-Aware Graph-Image Pre-training for Lithography Hotspot Detection [paper] Jaejin Lee*, Yechan Hwang*, Minjae Jeong*, Won Hwa Kim (* equal contribution) UnderReview |
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Residual-Guided Expert Specialization for Incomplete Multimodal Learning [paper] Seunghun Baek, Jihwan Park, Jaeyoon Sim, Minjae Jeong, Hoseok Lee, Won Hwa Kim ECCV 2026 Bronze prize at 38th Workshop on Image Processing and Image Understanding (IPIU) |
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SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes [paper] Minjae Jeong*, Jaejin Lee*, Yechan Hwang, Won Hwa Kim (* equal contribution) MICCAI 2026 |
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Learning Robust Medical Image Segmentation under Mixed-Quality Annotations [paper] Minjae Jeong*, Seungjoo Lee*, Jaejin Lee, Won Hwa Kim (* equal contribution) MICCAI 2026 (Early Accept: ~9%) |
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Mark4D: Temporally-Consistent Watermarking for 4D Gaussian Splatting [paper] Jaejin Lee*, Minjae Jeong*, Joonhyuk Park, Yechan Hwang, Seunghun Baek, Won Hwa Kim (* equal contribution) CVPR 2026 Silver prize at 38th Workshop on Image Processing and Image Understanding (IPIU) |
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MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations [paper] Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim MICCAI 2025 (Early Accept: ~9%) |
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HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining [paper] Minjae Jeong*, Yechan Hwang*, Jaejin Lee, Sungyoon Jung, Won Hwa Kim (* equal contribution) ICLR 2025 Excellence paper award from the Graduate School of AI, POSTECH |
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Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis [paper] Minjae Jeong*, Hyuna Cho*, Sungyoon Jung, Won Hwa Kim (* equal contribution) MICCAI 2024 (Early Accept: ~11%) |
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Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion [paper] Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim 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 - 2025.09, 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.
👩💻 Academic Service
- Reviewer: CVPR (2026), ECCV (2026), MICCAI (2026), ICLR RSI Workshop (2026), NeurIPS (2026)