| 2026 | SAC | GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QAT. | Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Kijung Lee, Sanghyun Park |
| 2026 | SAC | AMoE-BTS: An Adaptive Mixture of Experts for Clinical Decision Support in Multimodal Brain Tumor Segmentation. | Jeongeun Kim, Youngwan Jo, Sunghyun Ahn, Sanghyun Park |
| 2026 | SAC | SKIM: Semantic Knowledge Infused Modeling for Medical Report Generation. | Hyojeong Lee, Youngwan Jo, Inpyo Hong, Sanghyun Park |
| 2026 | WACV | AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM. | Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sein Kwon, Inpyo Hong, Sanghyun Park |
| 2026 | WACV | Unified Video Anomaly Detection Model for Detecting Different Anomaly Types. | Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park |
| 2025 | HiPC | LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning. | Sein Kwon, Youngwan Jo, Seungyeon Choi, Jieun Lee, Huijun Jin, Sang-Hyun Park |
| 2025 | PAKDD | MDVAD: Multimodal Diffusion for Video Anomaly Detection. | Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park |
| 2025 | SAC | Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing. | Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Sanghyun Park |
| 2024 | ACCV | VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection. | Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sanghyun Park |