Wonsung Lee

21 papers A* 5A 2B 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.
NAACL (Industry Track)
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
2023 — conf
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation.
RecSys Challenge
Hyeonwoo Kim, Wonsung Lee
2023 J jnl
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation.
CoRR
Hyeonwoo Kim, Wonsung Lee
2023 J jnl
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.
CoRR
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
2022 A* conf
Contrastive Learning for Knowledge Tracing.
WWW
Wonsung Lee, Jaeyoon Chun, Youngmin Lee, KyoungSoo Park, Sungrae Park
2021 J jnl
Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles.
J. Aerosp. Inf. Syst.
Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon
2020 J jnl
Dirichlet Variational Autoencoder.
Pattern Recognit.
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
2019 A* conf
Adversarial Dropout for Recurrent Neural Networks.
AAAI
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
2019 J jnl
Adversarial Dropout for Recurrent Neural Networks.
CoRR
Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon
2019 J jnl
Dirichlet Variational Autoencoder.
CoRR
Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
2019 J jnl
Neural Ideal Point Estimation Network.
CoRR
Kyungwoo Song, Wonsung Lee, Il-Chul Moon
2018 A* conf
Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling.
ICDM
Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon
2018 A* conf
Neural Ideal Point Estimation Network.
AAAI
Kyungwoo Song, Wonsung Lee, Il-Chul Moon
2017 A conf
Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information.
CIKM
Wonsung Lee, Kyungwoo Song, Il-Chul Moon
2016 A* conf
Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping.
IJCAI
Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon
2015 J jnl
Associative topic models with numerical time series.
Inf. Process. Manag.
Sungrae Park, Wonsung Lee, Il-Chul Moon
2015 J jnl
Efficient extraction of domain specific sentiment lexicon with active learning.
Pattern Recognit. Lett.
Sungrae Park, Wonsung Lee, Il-Chul Moon
2015 — conf
Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.
TM@CIKM
Sungrae Park, Wonsung Lee, Il-Chul Moon
2014 B conf
Disease-medicine topic model for prescription record mining.
SMC
Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon
2014 A conf
Modeling multiple fields of collective emotions with brownian agent-based model.
AAMAS
Wonsung Lee, Sungrae Park, Il-Chul Moon
2014 B conf
Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy.
SMC
Wonsung Lee, Gene Yi, Dain Jung, Minki Kim, Il-Chul Moon