A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material. - Mengchun Zhang; Maryam Qamar; Taegoo Kang; Yuna Jung; Chenshuang Zhang; Sung-Ho Bae; Chaoning Zhang (CoRR, 2023)

Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. - Chenshuang Zhang; Chaoning Zhang; Taegoo Kang; Donghun Kim; Sung-Ho Bae; In So Kweon (CoRR, 2023)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. - Chaoning Zhang; Sheng Zheng; Chenghao Li; Yu Qiao 004; Taegoo Kang; Xinru Shan; Chenshuang Zhang; Caiyan Qin; François Rameau; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

Robustness of SAM: Segment Anything Under Corruptions and Beyond. - Yu Qiao 004; Chaoning Zhang; Taegoo Kang; Donghun Kim; Shehbaz Tariq; Chenshuang Zhang; Choong Seon Hong (CoRR, 2023)

DM-KD: Decoupling Mixed-Images for Efficient Knowledge Distillation. - Jongkyung Im; Younho Jang; Junpyo Lim; Taegoo Kang; Chaoning Zhang; Sung-Ho Bae (IEEE Access, 2025)