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Dae-Woong Jeong
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2020 – today
- 2024
- [c5]Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han:
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks. ICLR 2024 - [i7]Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han:
Multitask Extension of Geometrically Aligned Transfer Encoder. CoRR abs/2405.01974 (2024) - [i6]Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han:
Task Addition in Multi-Task Learning by Geometrical Alignment. CoRR abs/2409.16645 (2024) - [i5]Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim:
Scalable Multi-Task Transfer Learning for Molecular Property Prediction. CoRR abs/2410.00432 (2024) - 2023
- [c4]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. AAAI 2023: 8334-8342 - [i4]Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee:
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR abs/2309.04062 (2023) - [i3]Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han:
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks. CoRR abs/2310.06369 (2023) - 2022
- [c3]Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung:
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules. ICML 2022: 16952-16968 - [i2]Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee:
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters. CoRR abs/2209.02939 (2022)
2010 – 2019
- 2019
- [i1]Dae-Woong Jeong, Jaehun Kim, Youngseok Kim, Tae-Ho Kim, Myungsu Chae:
Effective Network Compression Using Simulation-Guided Iterative Pruning. CoRR abs/1902.04224 (2019) - 2013
- [c2]Tae-Ho Kim, Young-Gyu Yoon, Jinu Uhm, Dae-Woong Jeong, Seung Zhoo Yoon, Sang-Hyun Park:
A cepstral analysis based method for quantifying the depth of anesthesia from human EEG. EMBC 2013: 5994-5997 - 2011
- [c1]Young-Gyu Yoon, Tae-Ho Kim, Dae-Woong Jeong, Sang-Hyun Park:
Monitoring the depth of anesthesia from rat EEG using modified Shannon entropy analysis. EMBC 2011: 4386-4389
Coauthor Index
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