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 (EMBC, 2011)

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 (EMBC, 2013)

Effective Network Compression Using Simulation-Guided Iterative Pruning. - Dae-Woong Jeong; Jaehun Kim; Youngseok Kim; Tae-Ho Kim; Myungsu Chae (CoRR, 2019)

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 (ICML, 2022)

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. - Sung Moon Ko; Sungjun Cho; Dae-Woong Jeong; Sehui Han; Moontae Lee; Honglak Lee (AAAI, 2023)

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks. - Sung Moon Ko; Sumin Lee; Dae-Woong Jeong; Woohyung Lim; Sehui Han (ICLR, 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)

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)

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)

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 (AAAI, 2025)