Two-Dimensional Attention-Based LSTM Model for Stock Index Prediction. - Yeonguk Yu; Yoon-Joong Kim (J. Inf. Process. Syst., 2019)

Multiple Classification with Split Learning. - Jongwon Kim; Sungho Shin; Yeonguk Yu; Junseok Lee 003; Kyoobin Lee (SMA, 2020)

Selection of Class-conditional Filters for Semantic Shifted OOD Detection. - Yeonguk Yu; Sungho Shin; Jongwon Kim; Kyoobin Lee (UR, 2021)

Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. - Seunghyeok Back; Seongju Lee; Sungho Shin; Yeonguk Yu; Taekyeong Yuk; Saepomi Jong; Seungjun Ryu; Kyoobin Lee (IEEE Access, 2021)

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition. - Sungho Shin; Joosoon Lee; Junseok Lee 003; Yeonguk Yu; Kyoobin Lee (ECCV (12), 2022)

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection. - Yeonguk Yu; Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (CVPR, 2023)

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation. - Sungho Shin; Yeonguk Yu; Kyoobin Lee (CoRR, 2023)

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. - Yeonguk Yu; Sungho Shin; Seunghyeok Back; Minhwan Ko; Sangjun Noh; Kyoobin Lee (CVPR, 2024)

MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction. - Seongju Lee; Junseok Lee 003; Yeonguk Yu; Taeri Kim; Kyoobin Lee (ECCV (66), 2024)

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. - Yeonguk Yu; Minhwan Ko; Sungho Shin; Kangmin Kim; Kyoobin Lee (NeurIPS, 2024)

Exploring using jigsaw puzzles for out-of-distribution detection. - Yeonguk Yu; Sungho Shin; Minhwan Ko; Kyoobin Lee (Comput. Vis. Image Underst., 2024)

SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning. - Seongju Lee; Yeonguk Yu; Seunghyeok Back; Hogeon Seo; Kyoobin Lee (Expert Syst. Appl., 2024)