Blockchain based Removable Storage Device Log Management System. - Gyuseong Lee; Minsung Son; Nakhoon Choi; Seongho Hong; Heeyoul Kim (ICACT, 2020)

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. - Jiwon Kim; Kwangrok Ryoo; Junyoung Seo; Gyuseong Lee; Daehwan Kim; Hansang Cho; Seungryong Kim (CVPR, 2022)

ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization. - Jiwon Kim; Youngjo Min; Daehwan Kim; Gyuseong Lee; Junyoung Seo; Kwangrok Ryoo; Seungryong Kim (ECCV (30), 2022)

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

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. - Jiwon Kim; Kwangrok Ryoo; Gyuseong Lee; Seokju Cho; Junyoung Seo; Daehwan Kim; Hansang Cho; Seungryong Kim (CoRR, 2022)

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models. - Gyeongnyeon Kim; Wooseok Jang; Gyuseong Lee; Susung Hong; Junyoung Seo; Seungryong Kim (CoRR, 2022)

MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. - Junyoung Seo; Gyuseong Lee; Seokju Cho; Jiyoung Lee; Seungryong Kim (AAAI, 2023)

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance. - Susung Hong; Gyuseong Lee; Wooseok Jang; Seungryong Kim (ICCV, 2023)

DiffMatch: Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Inès Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (CoRR, 2023)

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters. - Gyuseong Lee; Wooseok Jang; Jin Hyeon Kim; Jaewoo Jung; Seungryong Kim (CoRR, 2023)

Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (ICLR, 2024)

Depth-aware guidance with self-estimated depth representations of diffusion models. - Gyeongnyeon Kim; Wooseok Jang; Gyuseong Lee; Susung Hong; Junyoung Seo; Seungryong Kim (Pattern Recognit., 2024)

Domain Generalization using Large Pretrained Models with Mixture-of-Adapters. - Gyuseong Lee; Wooseok Jang; Jinhyeon Kim; Jaewoo Jung; Seungryong Kim (WACV, 2025)

Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding. - Yeonkyoung So; Gyuseong Lee; Sungmok Jung; Joonhak Lee; JiA Kang; Sangho Kim; Jaejin Lee (CoRR, 2025)

Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments. - Sungen Hahm; Heejin Kim; Gyuseong Lee; Hyunji Park; Jaejin Lee (CoRR, 2025)