| Dirichlet variational autoencoder W Joo, W Lee, S Park, IC Moon Pattern Recognition 107, 107514, 2020 | 113 | 2020 |
| Solar 10.7 b: Scaling large language models with simple yet effective depth up-scaling D Kim, C Park, S Kim, W Lee, W Song, Y Kim, H Kim, Y Kim, H Lee, J Kim, ... NAACL 2024: Industry Papers, 2024 | 106* | 2024 |
| Efficient extraction of domain specific sentiment lexicon with active learning S Park, W Lee, IC Moon Pattern Recognition Letters 56, 38-44, 2015 | 88 | 2015 |
| Augmented variational autoencoders for collaborative filtering with auxiliary information W Lee, K Song, IC Moon Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 68 | 2017 |
| Contrastive learning for knowledge tracing W Lee, J Chun, Y Lee, K Park, S Park Proceedings of the ACM Web Conference 2022, 2330-2338, 2022 | 56 | 2022 |
| Diagnosis prediction via medical context attention networks using deep generative modeling W Lee, S Park, W Joo, IC Moon 2018 IEEE International Conference on Data Mining (ICDM), 1104-1109, 2018 | 40 | 2018 |
| Supervised dynamic topic models for associative topic extraction with a numerical time series S Park, W Lee, IC Moon Proceedings Of the 2015 Workshop On Topic Models: Post-Processing And …, 2015 | 10 | 2015 |
| Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. W Lee, Y Lee, H Kim, IC Moon IJCAI, 2544-2552, 2016 | 8 | 2016 |
| Associative topic models with numerical time series S Park, W Lee, IC Moon Information Processing & Management 51 (5), 737-755, 2015 | 8 | 2015 |
| Adversarial dropout for recurrent neural networks S Park, K Song, M Ji, W Lee, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4699-4706, 2019 | 7 | 2019 |
| 초거대 언어모델 연구 동향 박찬준， 이원성， 김윤기， 김지후， 이활석 정보과학회지 41 (11), 8-24, 2023 | 6 | 2023 |
| Black-box expectation–maximization algorithm for estimating latent states of high-speed vehicles YY Kim, H Kim, WS Lee, HL Choi, IC Moon Journal of Aerospace Information Systems 18 (4), 175-192, 2021 | 6 | 2021 |
| Modeling multiple fields of collective emotions with brownian agent-based model W Lee, S Park, IC Moon Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 6 | 2014 |
| Neural ideal point estimation network K Song, W Lee, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 5 | 2018 |
| Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy W Lee, G Yi, D Jung, M Kim, IC Moon 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 4 | 2014 |
| Consumers perceptions on sodium saccharin in social media S Lee, W Lee, IC Moon, H Kwon Journal of food hygiene and safety 30 (4), 329-342, 2015 | 3 | 2015 |
| Disease-medicine topic model for prescription record mining S Park, D Choi, W Lee, D Jung, M Kim, IC Moon 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 86-93, 2014 | 2 | 2014 |
| Lightweight Boosting Models for User Response Prediction Using Adversarial Validation H Kim, W Lee Proceedings of the Recommender Systems Challenge 2023, 9-13, 2023 | | 2023 |
| Deep generative models for collaborative filtering with multi-source and high dimensional data W Lee 한국과학기술원, 2018 | | 2018 |
| Consumers Perceptions on Monosodium L-glutamate in Social Media S Lee, W Lee, IC Moon, H Kwon Journal of Food Hygiene and Safety 31 (3), 153-166, 2016 | | 2016 |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTkaist.ac.kr의 이메일 확인됨
