| 2025 | ICCV | Multi-Scale Contrastive-Adversarial Distillation for Super-Resolution. | Donggeun Ko, Youngsang Kwak, San Kim, Jaehwa Kwak, Jaekwang Kim |
| 2025 | SAC | Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models. | Donggeun Ko, Dongjun Lee, Namjun Park, Wonkyeong Shim, Jaekwang Kim |
| 2025 | SAC | Hierarchical Contrastive Learning with Multiple Augmentations for Sequential Recommendation. | Dongjun Lee, Donggeun Ko, Jaekwang Kim |
| 2025 | SAC | PacECG-Net: A Multi-modal Approach Integrating LLMs and ECG for LVSD Classification in Pacemaker Patients. | Wonkyeong Shim, Namjun Park, Donggeun Ko, San Kim, Hyebin Gwag, Youngjun Park, Seungjung Park, Jaekwang Kim |
| 2023 | CIKM | AmpliBias: Mitigating Dataset Bias through Bias Amplification in Few-shot Learning for Generative Models. | Donggeun Ko, Dongjun Lee, Namjun Park, Kyoungrae Noh, Hyeonjin Park, Jaekwang Kim |
| 2023 | SAC | MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography. | Jeongho Kim, Yun-Gyoo Lee, Donggeun Ko, Taejune Kim, Soo-Youn Ham, Simon S. Woo |
| 2022 | ACCV | A | Jaeju An, Taejune Kim, Donggeun Ko, Sangyup Lee, Simon S. Woo |