A Novel Learning Network for Option Pricing with Confidence Interval Information. - Kyu-Hwan Jung; Hyun-Chul Kim; Jaewook Lee 001 (ISNN (2), 2006)

Approximate Sampling Method for Locally Linear Embedding. - Hyun-Chul Kim; Kyu-Hwan Jung; Jaewook Lee 001 (IJCNN, 2007)

Constructing Sparse Kernel Machines Using Attractors. - Daewon Lee; Kyu-Hwan Jung; Jaewook Lee 001 (IEEE Trans. Neural Networks, 2009)

Fast support-based clustering method for large-scale problems. - Kyu-Hwan Jung; Daewon Lee; Jaewook Lee 001 (Pattern Recognit., 2010)

Dynamic pattern denoising method using multi-basin system with kernels. - Kyu-Hwan Jung; Namhyoung Kim; Jaewook Lee 001 (Pattern Recognit., 2011)

A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication. - Namhyoung Kim; Jaewook Lee 001; Kyu-Hwan Jung; Yong Seog Kim (HICSS, 2012)

Uniformly subsampled ensemble (USE) for churn management: Theory and implementation. - Namhyoung Kim; Kyu-Hwan Jung; Yong Seog Kim; Jaewook Lee 001 (Expert Syst. Appl., 2012)

Probabilistic generative ranking method based on multi-support vector domain description. - Kyu-Hwan Jung; Jaewook Lee 001 (Inf. Sci., 2013)

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks. - Jaemin Son; Sang Jun Park; Kyu-Hwan Jung (CoRR, 2017)

Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN. - Jaemin Son; Woong Bae; Sangkeun Kim; Sang Jun Park; Kyu-Hwan Jung (COMPAY/OMIA@MICCAI, 2018)

An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images. - Jaemin Son; Sangkeun Kim; Sang Jun Park; Kyu-Hwan Jung (CVII-STENT/LABELS@MICCAI, 2018)

False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs. - Sejin Park; Woochan Hwang; Kyu-Hwan Jung; Joon Beom Seo; Namkug Kim (CoRR, 2018)

Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays. - Sejin Park; Woochan Hwang; Kyu-Hwan Jung (CoRR, 2018)

Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. - Yeonwoo Jang; Jaemin Son; Kyu Hyung Park; Sang Jun Park; Kyu-Hwan Jung (J. Digit. Imaging, 2018)

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. - Guk Bae Kim; Kyu-Hwan Jung; Yeha Lee; Hyun-Jun Kim; Namkug Kim; Sanghoon Jun; Joon Beom Seo; David A. Lynch (J. Digit. Imaging, 2018)

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. - Woong Bae; Seungho Lee; Yeha Lee; Beomhee Park; Minki Chung; Kyu-Hwan Jung (MICCAI (2), 2019)

Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. - Jaemin Son; Sang Jun Park; Kyu-Hwan Jung (J. Digit. Imaging, 2019)

Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment. - Byeonguk Bae; Jaewon Lee; Seo Taek Kong; Jinkyeong Sung; Kyu-Hwan Jung (MICCAI (6), 2020)

Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape. - Seo Taek Kong; Soomin Jeon; Jaewon Lee; Hongseok Lee; Kyu-Hwan Jung (CoRR, 2021)

Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. - Wooseok Jung; Chong Hyun Suh; Woo-Hyun Shim; Jinyoung Kim; Dongsoo Lee; Changhyun Park; Seo Taek Kong; Kyu-Hwan Jung; Hwon Heo; Sang Joon Kim (MLCN@MICCAI, 2022)

Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment. - Hyeongsub Kim; Seo Taek Kong; Hongseok Lee; Kyungdoc Kim; Kyu-Hwan Jung (MILLanD@MICCAI, 2022)

Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. - Dongsoo Lee; Chong Hyun Suh; Jinyoung Kim; Wooseok Jung; Changhyun Park; Kyu-Hwan Jung; Seo Taek Kong; Woo-Hyun Shim; Hwon Heo; Sang Joon Kim (MLCN@MICCAI, 2022)

A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity. - Seo Taek Kong; Soomin Jeon; Dongbin Na; Jaewon Lee; Hong-Seok Lee; Kyu-Hwan Jung (NeurIPS, 2022)

Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. - Minki Chung; Seo Taek Kong; Beomhee Park; Younjoon Chung; Kyu-Hwan Jung; Joon Beom Seo (J. Digit. Imaging, 2022)

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. - Jaeyoung Kim; Seo Taek Kong; Dongbin Na; Kyu-Hwan Jung (AAAI, 2023)

Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models. - Gitaek Kwon; Jaeyoung Kim; Hong-Jun Choi; Byung-Moo Yoon; Sungchul Choi; Kyu-Hwan Jung (BMVC, 2023)

Doppelganger Method: Breaking Role Consistency in LLM Agent via Prompt-based Transferable Adversarial Attack. - Daewon Kang; YeongHwan Shin; Doyeon Kim; Kyu-Hwan Jung; Meong Hi Son (CoRR, 2025)