Sehui Han

According to our database, Sehui Han authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Geometric Embedding Alignment via Curvature Matching in Transfer Learning.

Sung Moon Ko, Jaewan Lee, Sumin Lee, Soorin Yim, Kyunghoon Bae, Sehui Han

CoRR, June, 2025

MolMole: Molecule Mining from Scientific Literature.

LG AI Research, Sehyun Chun, Jiye Kim, Ahra Jo, Yeonsik Jo, Seungyul Oh, Seungjun Lee, Kwangrok Ryoo, Jongmin Lee, Seung Hwan Kim, Byung Jun Kang, Soonyoung Lee, Jun Ha Park, Chanwoo Moon, Jiwon Ham, Haein Lee, Heejae Han, Jaeseung Byun, Soojong Do, Minju Ha, Dongyun Kim, Kyunghoon Bae, Woohyung Lim, Edward Hwayoung Lee, Yongmin Park, Jeongsang Yu, Gerrard Jeongwon Jo, Yeonjung Hong, Kyungjae Yoo, Sehui Han, Jaewan Lee, Changyoung Park, Kijeong Jeon, Sihyuk Yi

CoRR, May, 2025

CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction.

Jaewan Lee, Changyoung Park, Hongjun Yang, Sungbin Lim, Sehui Han

CoRR, February, 2025

Mol-LLM: Generalist Molecular LLM with Improved Graph Utilization.

Chanhui Lee, Yuheon Song, Yongjun Jeong, Hanbum Ko, Rodrigo Hormazabal, Sehui Han, Kyunghoon Bae, Sungbin Lim, Sungwoong Kim

CoRR, February, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

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

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks.

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Design of New Inorganic Crystals with the Desired Composition Using Deep Learning.

Seunghee Han, Jaewan Lee, Sehui Han, Seyed Mohamad Moosavi, Jihan Kim, Changyoung Park

J. Chem. Inf. Model., September, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.

Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.

Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung

Proceedings of the International Conference on Machine Learning, 2022