Yechan Hwang

Ph.D. Student in CSE @ MIP Lab, POSTECH

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Hello, I am a M.S./Ph.D. integrated student in the Medical Information Processing (MIP) lab at Pohang University of Science and Technology (POSTECH) under the supervision of Professor Won Hwa Kim.

My research interests include graph machine learning, medical imaging, and computer vision. Recently, I have been particularly interested in employing machine learning methods to diagnose and understand diseases.

Please find my Curriculum Vitae here.

News

Jun 2026 1 paper has been accepted to MICCAI 2026. :tada:
Feb 2026 1 paper has been accepted to CVPR 2026. :fire:
Feb 2026 Won the Bronze Prize at the Samsung HumanTech Paper Award. :trophy:
Feb 2026 Won the Silver Prize at the 38th Workshop on Image Processing and Image Understanding (IPIU). :tada:
Sep 2025 Won the Best Paper Award at the MICCAI 2025 GRAIL workshop. :trophy:
Jan 2025 1 paper has been accepted to ICLR 2025. :fire:
Jun 2024 1 paper has been accepted to MICCAI 2024.
May 2023 2 papers have been accepted to MICCAI 2023. One is early accepted (top 14%). :smile:

Publications

  1. surgmark.png
    SurgMark: Structure-Aware Watermarking for 4D Gaussian Splatting in Surgical Scenes
    Minjae Jeong*, Jaejin Lee*, Yechan Hwang, and Won Hwa Kim (* equal contribution)
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2026
  2. mark4d.png
    Mark4D: Temporally-Consistent Watermarking for 4D Gaussian Splatting
    Jaejin Lee*, Minjae Jeong*, Joonhyuk Park, Yechan Hwang, Seunghun Baek, and Won Hwa Kim (* equal contribution)
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2026
    Silver prize at 38th Workshop on Image Processing and Image Understanding (IPIU)
    PDF
  3. hgm.png
    HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
    Minjae Jeong*, Yechan Hwang*, Jaejin Lee, Sungyoon Jung, and Won Hwa Kim (* equal contribution)
    In International Conference on Learning Representations (ICLR) , 2025
    Excellence paper award from the Graduate School of AI, POSTECH
    PDF
  4. multi.png
    Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis
    Yechan Hwang, Soojin Hwang, Guorong Wu, and Won Hwa Kim
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2024
    PDF
  5. hodge.png
    Convolving directed graph edges via Hodge Laplacian for brain network analysis
    Joonhyuk Park*, Yechan Hwang*, Minjeong Kim, Moo K Chung, Guorong Wu, and Won Hwa Kim (* equal contribution)
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2023
    Early accepted (top ~14%)
    PDF
  6. restoring.png
    RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform
    Ellen Jieun Oh, Yechan Hwang, Yubin Han, Taegeun Choi, Geunyoung Lee, and Won Hwa Kim
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2023
    PDF