Dae-Woong Jeong

15 papers A* 4Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models.
CoRR
Hojung Jung, Rodrigo Hormazabal, Jaehyeong Jo, Youngrok Park, Kyunggeun Roh, Se-Young Yun, Sehui Han, Dae-Woong Jeong
2025 A* conf
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.
AAAI
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2025 J jnl
Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening.
CoRR
Hyunseung Kim, Dae-Woong Jeong, Changyoung Park, Won-Ji Lee, Ha-Eun Lee, Ji-Hye Lee, Rodrigo Hormazabal, Sung Moon Ko, Sumin Lee, Soorin Yim, Chanhui Lee, Sehui Han, Sang-Ho Cha, Woohyung Lim
2024 A* conf
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks.
ICLR
Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han
2024 J jnl
Multitask Extension of Geometrically Aligned Transfer Encoder.
CoRR
Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han
2024 J jnl
Scalable Multi-Task Transfer Learning for Molecular Property Prediction.
CoRR
Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim
2024 J jnl
Task Addition in Multi-Task Learning by Geometrical Alignment.
CoRR
Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han
2023 J jnl
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.
CoRR
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2023 J jnl
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks.
CoRR
Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han
2023 A* conf
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.
AAAI
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
2022 J jnl
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters.
CoRR
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
2022 A* conf
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.
ICML
Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung
2019 J jnl
Effective Network Compression Using Simulation-Guided Iterative Pruning.
CoRR
Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae
2013 — conf
A cepstral analysis based method for quantifying the depth of anesthesia from human EEG.
EMBC
Tae-Ho Kim, Young-Gyu Yoon, Jinu Uhm, Dae-Woong Jeong, Seung Zhoo Yoon, Sang-Hyun Park
2011 — conf
Monitoring the depth of anesthesia from rat EEG using modified Shannon entropy analysis.
EMBC
Young-Gyu Yoon, Tae-Ho Kim, Dae-Woong Jeong, Sang-Hyun Park