Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
Clinical Features and Subgroup Patterns in Elderly and Super-Elderly TMD Patients
Yeon-Hee Lee, et al. (including Hee-Sung Kim)
Scientific Reports, 2025
Analysis of clinical features and subgroup patterns of temporomandibular disorders in elderly populations.
Deep Learning-Based Diagnosis of Temporomandibular Joint Osteoarthritis Using Whole-Body Bone Scans
Yeon-Hee Lee, Hee-Sung Kim, Seonggwang Jeon, Q-Schick Auh, Il Ki Hong, Sunju Choi, Fernando Guastaldi, Hyungsoon Im, Yung-Kyun Noh, Akhilanand Chaurasia
iScience, 2025
Deep learning models (CNN, VGG16-based) for automatic diagnosis of TMJ osteoarthritis from bone scintigraphy, achieving AUC > 0.90 on head-and-neck imaging.
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
Hee-Sung Kim, Hyeonseong Kim, Sungyoon Lee
ICML, 2026
We recover SAM’s flat-minima bias from unlabeled data alone by regularizing local inconsistency, enabling flat-minima methods for semi- and self-supervised learning.
Download Paper | arXiv | Poster | Slides |
Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
Hee-Sung Kim, Sungyoon Lee
ICML, 2026
Large-step gradient descent at the Edge of Stability overrides the winner-takes-all architectural bias of multi-pathway deep linear networks, restoring shared representations across parallel pathways.
Download Paper | arXiv | Poster | Slides |
A Simple and Efficient Measure of Loss Landscape Curvature
Hee-Sung Kim, Sungyoon Lee
ICML Workshop on High-dimensional Learning Dynamics (HiLD), 2026
A scalable directional-curvature measure and forward-pass estimators for tracking Edge-of-Stability dynamics without Hessian-vector products.
Download Paper | Poster |
talks
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
Published:
Poster presentation at the 43rd International Conference on Machine Learning.
Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
Published:
Poster presentation at the 43rd International Conference on Machine Learning.
A Simple and Efficient Measure of Loss Landscape Curvature
Published:
Poster presentation at the ICML 2026 Workshop on High-dimensional Learning Dynamics.