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Sehui Han
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2020 – today
- 2024
- [c4]Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han:
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks. ICLR 2024 - [i6]Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han:
Multitask Extension of Geometrically Aligned Transfer Encoder. CoRR abs/2405.01974 (2024) - [i5]Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han:
Task Addition in Multi-Task Learning by Geometrical Alignment. CoRR abs/2409.16645 (2024) - [i4]Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim:
Scalable Multi-Task Transfer Learning for Molecular Property Prediction. CoRR abs/2410.00432 (2024) - 2023
- [j1]Seunghee Han, Jaewan Lee, Sehui Han, Seyed Mohamad Moosavi, Jihan Kim, Changyoung Park:
Design of New Inorganic Crystals with the Desired Composition Using Deep Learning. J. Chem. Inf. Model. 63(18): 5755-5763 (2023) - [c3]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. AAAI 2023: 8334-8342 - [i3]Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee:
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR abs/2309.04062 (2023) - [i2]Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han:
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks. CoRR abs/2310.06369 (2023) - 2022
- [c2]Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung:
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules. ICML 2022: 16952-16968 - [c1]Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee:
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition. NeurIPS 2022 - [i1]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters. CoRR abs/2209.02939 (2022)
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