Effect of OFF-state stress on reliability of nMOSFET in SWD circuits of DRAM. - Jongkyun Kim; Namhyun Lee; Gang-Jun Kim; Young-Yun Lee; Jung-Eun Seok; Yunsung Lee (Microelectron. Reliab., 2018)

Effect of DC/AC stress on the reliability of cell capacitor in DRAM. - Gang-Jun Kim; Nam-Hyun Lee; Jongkyun Kim; Jung Eun Seok; Yunsung Lee (Microelectron. Reliab., 2018)

Learning to Focus and Track Extreme Climate Events. - Sookyung Kim; Sunghyun Park 005; Sunghyo Chung; Joonseok Lee; Yunsung Lee; Hyojin Kim 001; Prabhat; Jaegul Choo (BMVC, 2019)

An Evaluation of X-Ray Irradiation Induced Dynamic Refresh Characterization in DRAM. - KyungWoo Lee; Chae-Hyuk Yun; HyungAh Seo; Taehun Kang; Yunsung Lee; Kangyong Cho (IRPS, 2019)

Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. - Junsoo Lee; Eungyeup Kim; Yunsung Lee; Dongjun Kim; Jaehyuk Chang; Jaegul Choo (CVPR, 2020)

Robust Long-Term Object Tracking via Improved Discriminative Model Prediction. - Seokeon Choi; Junhyun Lee; Yunsung Lee; Alexander G. Hauptmann (ECCV Workshops (5), 2020)

The Eighth Visual Object Tracking VOT2020 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Linbo He; Yushan Zhang; et al. (ECCV Workshops (5), 2020)

Data Augmentations for Document Images. - Yunsung Lee; Teakgyu Hong; Seungryong Kim (SDU@AAAI, 2021)

SWAD: Domain Generalization by Seeking Flat Minima. - Junbum Cha; Sanghyuk Chun; Kyungjae Lee; Han-Cheol Cho; Seunghyun Park 001; Yunsung Lee; Sungrae Park (NeurIPS, 2021)

CATs: Cost Aggregation Transformers for Visual Correspondence. - Seokju Cho; Sunghwan Hong; Sangryul Jeon; Yunsung Lee; Kwanghoon Sohn; Seungryong Kim (NeurIPS, 2021)

Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts. - Junbum Cha; Hancheol Cho; Kyungjae Lee; Seunghyun Park 001; Yunsung Lee; Sungrae Park (CoRR, 2021)

Semantic Correspondence with Transformers. - Seokju Cho; Sunghwan Hong; Sangryul Jeon; Yunsung Lee; Kwanghoon Sohn; Seungryong Kim (CoRR, 2021)

HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning. - Yunsung Lee; Teakgyu Hong; Hancheol Cho; Junbum Cha; Seungryong Kim (CoRR, 2021)

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. - Yunsung Lee; Gyuseong Lee; Kwangrok Ryoo; Hyojun Go; Jihye Park; Seungryong Kim (ECCV Workshops (4), 2022)

Cross Encoding as Augmentation: Towards Effective Educational Text Classification. - Hyun Seung Lee; Seungtaek Choi; Yunsung Lee; Hyeongdon Moon; Shinhyeok Oh; Myeongho Jeong; Hyojun Go; Christian Wallraven (ACL (Findings), 2023)

Evaluation of Question Generation Needs More References. - Shinhyeok Oh; Hyojun Go; Hyeongdon Moon; Yunsung Lee; Myeongho Jeong; Hyun Seung Lee; Seungtaek Choi (ACL (Findings), 2023)

Towards Practical Plug-and-Play Diffusion Models. - Hyojun Go; Yunsung Lee; Jin Young Kim; Seunghyun Lee; Myeongho Jeong; Hyun Seung Lee; Seungtaek Choi (CVPR, 2023)

Addressing Negative Transfer in Diffusion Models. - Hyojun Go; JinYoung Kim; Yunsung Lee; Seunghyun Lee; Shinhyeok Oh; Hyeongdon Moon; Seungtaek Choi (NeurIPS, 2023)

ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function. - Jin Young Kim; Soonwoo Kwon; Hyojun Go; Yunsung Lee; Seungtaek Choi (CoRR, 2023)

Multi-Architecture Multi-Expert Diffusion Models. - Yunsung Lee; JinYoung Kim; Hyojun Go; Myeongho Jeong; Shinhyeok Oh; Seungtaek Choi (AAAI, 2024)

ScoreCL: augmentation-adaptive contrastive learning via score-matching function. - Jin-Young Kim; Soonwoo Kwon; Hyojun Go; Yunsung Lee; Seungtaek Choi; Hyun-Gyoon Kim (Mach. Learn., 2025)