| BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning C Oh, H Hwang, H Lee, YT Lim, G Jung, J Jung, H Choi, K Song CVPR 2023, 2023 | 88 | 2023 |
| Learning Fair Representation via Distributional Contrastive Disentanglement C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song KDD 2022, 2022 | 60* | 2022 |
| Geodesic multi-modal mixup for robust fine-tuning C Oh, J So, H Byun, YT Lim, M Shin, JJ Jeon, K Song NeurIPS 2023, 2022 | 56 | 2022 |
| Towards Calibrated Robust Fine-Tuning of Vision-Language Models C Oh, H Lim, M Kim, D Han, S Yun, J Choo, A Hauptmann, ZQ Cheng, ... NeurIPS 2024, 2023 | 38 | 2023 |
| DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation C Oh, Y Li, K Song, S Yun, D Han ICLR 2025, 2024 | 16 | 2024 |
| Bibimbap: Pre-trained models ensemble for Domain Generalization J Kang, T Kim, Y Kim, C Oh, J Jung, R Chang, K Song Pattern Recognition 151, 110391, 2024 | 15 | 2024 |
| Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach C Oh, Z Fang, S Im, X Du, Y Li ICML 2025, 2025 | 9 | 2025 |
| Language model-guided student performance prediction with multimodal auxiliary information C Oh, M Park, S Lim, K Song Expert Systems with Applications 250, 123960, 2024 | 9 | 2024 |
| Enhancing Temporal Action Localization: Advanced s6 Modeling with Recurrent Mechanism S Lee, J Jung, C Oh, S Yun arXiv preprint arXiv:2407.13078, 2024 | 6 | 2024 |
| Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer H Jung, C Oh, J Kang, J Sohn, K Song, J Kim, DR Mortensen EMNLP 2024, Multilingual Representation Learning Workshop, 2024 | 4 | 2024 |
| Robust adaptation of foundation models with black-box visual prompting C Oh, G Seo, G Jung, ZQ Cheng, H Choi, J Jung, K Song arXiv preprint arXiv:2407.17491, 2024 | 4 | 2024 |
| Graph Perceiver IO: A general architecture for graph structured data S Bae, H Byun, C Oh, YS Cho, K Song Pattern Recognition 169, 111889, 2022 | 4* | 2022 |
| TC-BERT: large-scale language model for Korean technology commercialization documents T Kim, C Oh, H Hwang, E Lee, Y Kim, Y Choi, S Kim, H Choi, K Song The Journal of Supercomputing 81 (1), 163, 2025 | 2 | 2025 |
| Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments H Lee, H Byun, C Oh, JY Bak, K Song ECAI 2024, 2024 | 2 | 2024 |
| Robust contrastive learning with dynamic mixed margin J So, Y Lim, Y Kim, C Oh, K Song IEEE Access 11, 60211-60222, 2023 | 2 | 2023 |
| Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding L Long, C Oh, S Park, Y Li arXiv preprint arXiv:2509.23050, 2025 | 1 | 2025 |
| Visual Instruction Bottleneck Tuning C Oh, J Li, S Im, Y Li NeurIPS 2025, 2025 | 1 | 2025 |
| General Exploratory Bonus for Optimistic Exploration in RLHF W Li, C Oh, S Li arXiv preprint arXiv:2510.03269, 2025 | | 2025 |
| Multi-purpose technology commercialization recommender system with large-scale Korean language model K Noh, H Hwang, Y Lim, C Oh, S Kim, E Lee, Y Choi, S Kim, H Choi, ... The Journal of Supercomputing 81 (8), 942, 2025 | | 2025 |
| Distribution Contrast for Disentangled Fair Representation C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song 한국자료분석학회 학술대회자료집 2022 (7), 52-52, 2022 | | 2022 |
Kyungwoo SongYonsei UniversityVerified email at yonsei.ac.kr
