Wonsung Lee

According to our database, Wonsung Lee authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

2023

Lightweight Boosting Models for User Response Prediction Using Adversarial Validation.

Hyeonwoo Kim, Wonsung Lee

Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

2022

Contrastive Learning for Knowledge Tracing.

Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park, Sungrae Park

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles.

Yoon-Yeong Kim, Hyemi Kim, Wonsung Lee, Han-Lim Choi, Il-Chul Moon

J. Aerosp. Inf. Syst., April, 2021

2020

Dirichlet Variational Autoencoder.

Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon

Pattern Recognit., 2020

2019

Adversarial Dropout for Recurrent Neural Networks.

Sungrae Park, Kyungwoo Song, Mingi Ji, Wonsung Lee, Il-Chul Moon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling.

Wonsung Lee, Sungrae Park, Weonyoung Joo, Il-Chul Moon

Proceedings of the IEEE International Conference on Data Mining, 2018

Neural Ideal Point Estimation Network.

Kyungwoo Song, Wonsung Lee, Il-Chul Moon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information.

Wonsung Lee, Kyungwoo Song, Il-Chul Moon

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping.

Wonsung Lee, Youngmin Lee, Heeyoung Kim, Il-Chul Moon

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Efficient extraction of domain specific sentiment lexicon with active learning.

Sungrae Park, Wonsung Lee, Il-Chul Moon

Pattern Recognit. Lett., 2015

Associative topic models with numerical time series.

Sungrae Park, Wonsung Lee, Il-Chul Moon

Inf. Process. Manag., 2015

Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.

Sungrae Park, Wonsung Lee, Il-Chul Moon

Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, 2015

2014

Disease-medicine topic model for prescription record mining.

Sungrae Park, Doosup Choi, Wonsung Lee, Dain Jung, Minki Kim, Il-Chul Moon

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy.

Wonsung Lee, Gene Yi, Dain Jung, Minki Kim, Il-Chul Moon

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Modeling multiple fields of collective emotions with brownian agent-based model.

Wonsung Lee, Sungrae Park, Il-Chul Moon

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014