Ko, Sung Moon

6 publications

AAAI 2025 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee

ICLR 2024 Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han

ICMLW 2024 Multi-Task Extension of Geometrically Aligned Transfer Encoder Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han

ICMLW 2024 Scalable Multi-Task Transfer Learning for Molecular Property Prediction Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

ICMLW 2024 Task Addition in Multi-Task Learning by Geometrical Alignment Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han

AAAI 2023 Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee