Dae-Woong Jeong

15 papers A* 4Journal 9Unranked 2

Year	Rank	Type	Title / 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