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2020 – today
- 2024
[c12]Sanghoon Kim, Dahyun Kim, Chanjun Park, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim:
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. NAACL (Industry Track) 2024: 23-35- 2023
- [c11]Hyeonwoo Kim
, Wonsung Lee:
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation. RecSys Challenge 2023: 9-13 - [i5]Hyeonwoo Kim, Wonsung Lee:
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation. CoRR abs/2310.03778 (2023) - [i4]Dahyun Kim, Chanjun Park, Sanghoon Kim, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim:
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. CoRR abs/2312.15166 (2023) - 2022
- [c10]Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park:
Contrastive Learning for Knowledge Tracing. WWW 2022: 2330-2338 - 2021
- [j4]Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon:
Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles. J. Aerosp. Inf. Syst. 18(4): 175-192 (2021) - 2020
- [j3]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. Pattern Recognit. 107: 107514 (2020)
2010 – 2019
- 2019
- [c9]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. AAAI 2019: 4699-4706 - [i3]Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. CoRR abs/1901.02739 (2019) - [i2]Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon:
Adversarial Dropout for Recurrent Neural Networks. CoRR abs/1904.09816 (2019) - [i1]Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. CoRR abs/1904.11727 (2019) - 2018
- [c8]Kyungwoo Song, Wonsung Lee, Il-Chul Moon:
Neural Ideal Point Estimation Network. AAAI 2018: 2411-2418 - [c7]Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon:
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling. ICDM 2018: 1104-1109 - 2017
- [c6]Wonsung Lee, Kyungwoo Song, Il-Chul Moon:
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. CIKM 2017: 1139-1148 - 2016
- [c5]Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon:
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. IJCAI 2016: 2544-2552 - 2015
- [j2]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Associative topic models with numerical time series. Inf. Process. Manag. 51(5): 737-755 (2015) - [j1]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Efficient extraction of domain specific sentiment lexicon with active learning. Pattern Recognit. Lett. 56: 38-44 (2015) - [c4]Sungrae Park, Wonsung Lee, Il-Chul Moon:
Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. TM@CIKM 2015: 49-54 - 2014
- [c3]Wonsung Lee, Sungrae Park, Il-Chul Moon:
Modeling multiple fields of collective emotions with brownian agent-based model. AAMAS 2014: 797-804 - [c2]Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon:
Disease-medicine topic model for prescription record mining. SMC 2014: 86-93 - [c1]Wonsung Lee, Gene Yi, Dain Jung, Minki Kim, Il-Chul Moon:
Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy. SMC 2014: 2643-2650
Coauthor Index
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