| 2025 | ICASSP | Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. | Donghoon Lee, Tung Minh Luu, Younghwan Lee, Chang D. Yoo |
| 2025 | ICASSP | Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. | Younghwan Lee, Tung Minh Luu, Donghoon Lee, Chang D. Yoo |
| 2025 | ICCV | Occlusion-Robust Stylization for Drawing-Based 3D Animation. | Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo |
| 2025 | ICML | FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields. | Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo |
| 2025 | ICML | Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. | Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo |
| 2025 | IROS | Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling. | Tung Minh Luu, Donghoon Lee, Younghwan Lee, Chang D. Yoo |
| 2025 | SIGGRAPH | PLT: Part-Wise Latent Tokens as Adaptable Motion Priors for Physically Simulated Characters. | Jinseok Bae, Younghwan Lee, Donggeun Lim, Young Min Kim |
| 2002 | PIMRC | Diversity analysis for QAM in Nakagami fading channels. | Dongweon Yoon, Younghwan Lee, Changho Bae, Kyongkuk Cho, Pyeongdong Cho |