Dae-Woong Jeong

According to our database, Dae-Woong Jeong authored at least 12 papers between 2011 and 2026.

Collaborative distances:

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

2026

MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models.

Hojung Jung, Rodrigo Hormazabal, Jaehyeong Jo, Youngrok Park, Kyunggeun Roh, Se-Young Yun, Sehui Han, Dae-Woong Jeong

CoRR, February, 2026

2025

Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening.

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

CoRR, October, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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

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

2019

Effective Network Compression Using Simulation-Guided Iterative Pruning.

Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae

CoRR, 2019

2013

A cepstral analysis based method for quantifying the depth of anesthesia from human EEG.

Tae-Ho Kim, Young-Gyu Yoon, Jinu Uhm, Dae-Woong Jeong, Seung Zhoo Yoon, Sang-Hyun Park

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011

Monitoring the depth of anesthesia from rat EEG using modified Shannon entropy analysis.

Young-Gyu Yoon, Tae-Ho Kim, Dae-Woong Jeong, Sang-Hyun Park

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011