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

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

Multitask Extension of Geometrically Aligned Transfer Encoder. - Sung Moon Ko; Sumin Lee; Dae-Woong Jeong; Hyunseung Kim; Chanhui Lee; Soorin Yim; Sehui Han (CoRR, 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 (CoRR, 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 (CoRR, 2024)

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 (AAAI, 2025)

Geometric Embedding Alignment via Curvature Matching in Transfer Learning. - Sung Moon Ko; Jaewan Lee; Sumin Lee; Soorin Yim; Kyunghoon Bae; Sehui Han (CoRR, 2025)