Learning Fair Representation via Distributional Contrastive Disentanglement. - Changdae Oh; Heeji Won; Junhyuk So; Taero Kim; Yewon Kim; Hosik Choi; Kyungwoo Song (KDD, 2022)

Multi-Modal Mixup for Robust Fine-tuning. - Junhyuk So; Changdae Oh; Minchul Shin; Kyungwoo Song (CoRR, 2022)

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. - Changdae Oh; Hyeji Hwang; Hee Young Lee; YongTaek Lim; Geunyoung Jung; Jiyoung Jung; Hosik Choi; Kyungwoo Song (CVPR, 2023)

Geodesic Multi-Modal Mixup for Robust Fine-Tuning. - Changdae Oh; Junhyuk So; Hoyoon Byun; YongTaek Lim; Minchul Shin; Jong-June Jeon; Kyungwoo Song (NeurIPS, 2023)

Robust Contrastive Learning With Dynamic Mixed Margin. - Junhyuk So; YongTaek Lim; Yewon Kim; Changdae Oh; Kyungwoo Song (IEEE Access, 2023)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models. - Changdae Oh; Mijoo Kim; Hyesu Lim; Junhyeok Park; Euiseog Jeong; Zhi-Qi Cheng; Kyungwoo Song (CoRR, 2023)

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. - Heeyoung Lee; Hoyoon Byun; Changdae Oh; JinYeong Bak; Kyungwoo Song (ECAI, 2024)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models. - Changdae Oh; Hyesu Lim; Mijoo Kim; Dongyoon Han; Sangdoo Yun; Jaegul Choo; Alexander Hauptmann 001; Zhi-Qi Cheng; Kyungwoo Song (NeurIPS, 2024)

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. - Haeji Jung; Changdae Oh; Jooeon Kang; Jimin Sohn; Kyungwoo Song; Jinkyu Kim; David R. Mortensen (CoRR, 2024)

Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism. - Sangyoun Lee; Juho Jung; Changdae Oh; Sunghee Yun (CoRR, 2024)

Robust Adaptation of Foundation Models with Black-Box Visual Prompting. - Changdae Oh; Gyeongdeok Seo; Geunyoung Jung; Zhi-Qi Cheng; Hosik Choi; Jiyoung Jung; Kyungwoo Song (CoRR, 2024)

Language model-guided student performance prediction with multimodal auxiliary information. - Changdae Oh; Minhoi Park; Sungjun Lim 002; Kyungwoo Song (Expert Syst. Appl., 2024)

Bibimbap : Pre-trained models ensemble for Domain Generalization. - Jinho Kang; Taero Kim; Yewon Kim; Changdae Oh; Jiyoung Jung; Rakwoo Chang; Kyungwoo Song (Pattern Recognit., 2024)

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. - Changdae Oh; Yixuan Li 001; Kyungwoo Song; Sangdoo Yun; Dongyoon Han (ICLR, 2025)

TC-BERT: large-scale language model for Korean technology commercialization documents. - Taero Kim; Changdae Oh; Hyeji Hwang; Eunkyeong Lee; Yewon Kim; Yunjeong Choi; Sungjin Kim; Hosik Choi; Kyungwoo Song (J. Supercomput., 2025)

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach. - Changdae Oh; Zhen Fang 001; Shawn Im; Xuefeng Du; Yixuan Li 001 (CoRR, 2025)

Visual Instruction Bottleneck Tuning. - Changdae Oh; Jiatong Li; Shawn Im; Yixuan Li (CoRR, 2025)

Multi-purpose technology commercialization recommender system with large-scale Korean language model. - Kangjun Noh; Hyeji Hwang; YongTaek Lim; Changdae Oh; Seungyeon Kim; Eunkyeong Lee; Yunjeong Choi; Sungjin Kim; Hosik Choi; Kyungwoo Song (J. Supercomput., 2025)

Graph Perceiver IO: A general architecture for graph-structured data. - Seyun Bae; Hoyoon Byun; Changdae Oh; Yoon-Sik Cho; Kyungwoo Song (Pattern Recognit., 2026)