Robust Asymmetric Loss for Multi-Label Long-Tailed Learning. - Wongi Park; Inhyuk Park; Sungeun Kim; Jongbin Ryu (ICCV (Workshops), 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification. - Wongi Park; Jongbin Ryu (Comput. Biol. Medicine, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

ForestSplats: Deformable transient field for Gaussian Splatting in the Wild. - Wongi Park; Myeongseok Nam; Siwon Kim; Sangwoo Jo; Soomok Lee (CoRR, 2025)

Veta-GS: View-dependent deformable 3D Gaussian Splatting for thermal infrared Novel-view Synthesis. - Myeongseok Nam; Wongi Park; Minsol Kim; Hyejin Hur; Soomok Lee (CoRR, 2025)