Diversity analysis for QAM in Nakagami fading channels. - Dongweon Yoon; Younghwan Lee; Changho Bae; Kyongkuk Cho; Pyeongdong Cho (PIMRC, 2002)

TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation. - Sunjae Yoon; Gwanhyeong Koo; Younghwan Lee; Chang Dong Yoo (NeurIPS, 2024)

Weakly Supervised Image Segmentation for Detecting Defects From Scanning Electron Microscopy Images in Semiconductor. - Younghwan Lee; Seoung Bum Kim (IEEE Access, 2024)

Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. - Donghoon Lee; Tung Minh Luu; Younghwan Lee; Chang D. Yoo (ICASSP, 2025)

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. - Younghwan Lee; Tung Minh Luu; Donghoon Lee; Chang D. Yoo (ICASSP, 2025)

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 (CoRR, 2025)

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 (CoRR, 2025)

Policy Learning from Large Vision-Language Model Feedback without Reward Modeling. - Tung Minh Luu; Donghoon Lee; Younghwan Lee; Chang D. Yoo (CoRR, 2025)

Occlusion-robust Stylization for Drawing-based 3D Animation. - Sunjae Yoon; Gwanhyeong Koo; Younghwan Lee; Ji Woo Hong; Chang D. Yoo (CoRR, 2025)