| 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 | 37 | 2017 |
| Hierarchical Context enabled Recurrent Neural Network for Recommendation K Song, M Ji, S Park, IC Moon Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 12 | 2019 |
| Sequential recommendation with relation-aware kernelized self-attention M Ji, W Joo, K Song, YY Kim, IC Moon Proceedings of the AAAI conference on artificial intelligence 34 (04), 4304-4311, 2020 | 10 | 2020 |
| State prediction of high-speed ballistic vehicles with Gaussian process IC Moon, K Song, SH Kim, HL Choi International Journal of Control, Automation and Systems 16 (3), 1282-1292, 2018 | 7 | 2018 |
| Neutralizing gender bias in word embedding with latent disentanglement and counterfactual generation S Shin, K Song, JH Jang, H Kim, W Joo, IC Moon arXiv preprint arXiv:2004.03133, 2020 | 5 | 2020 |
| Hierarchically clustered representation learning SJ Shin, K Song, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5776-5783, 2020 | 5 | 2020 |
| Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles K Song, SH Kim, J Tak, HL Choi, IC Moon 2016 19th International Conference on Information Fusion (FUSION), 17-24, 2016 | 5 | 2016 |
| Counterfactual fairness with disentangled causal effect variational autoencoder H Kim, S Shin, JH Jang, K Song, W Joo, W Kang, IC Moon arXiv preprint arXiv:2011.11878, 2020 | 4 | 2020 |
| Bivariate Beta-LSTM K Song, JH Jang, S jae Shin, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5818-5825, 2020 | 4 | 2020 |
| 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 | 3 | 2019 |
| Sequential Likelihood-Free Inference with Implicit Surrogate Proposal D Kim, K Song, YY Kim, Y Shin, W Kang, IC Moon arXiv preprint arXiv:2010.07604, 2020 | 2 | 2020 |
| Implicit Kernel Attention K Song, Y Jung, D Kim, IC Moon arXiv preprint arXiv:2006.06147, 2020 | 2 | 2020 |
| Neural Ideal Point Estimation Network K Song, W Lee, IC Moon Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 2 | 2018 |
| Deep generative positive-unlabeled learning under selection bias B Na, H Kim, K Song, W Joo, YY Kim, IC Moon Proceedings of the 29th ACM International Conference on Information …, 2020 | 1 | 2020 |
| Approximate Inference for Spectral Mixture Kernel Y Jung, K Song, J Park arXiv preprint arXiv:2006.07036, 2020 | 1 | 2020 |
| Adversarial Likelihood-Free Inference on Black-Box Generator D Kim, W Joo, S Shin, K Song, IC Moon arXiv preprint arXiv:2004.05803, 2020 | 1 | 2020 |
| Identifying the evolution of disasters and responses with network-text analysis K Song, DH Kim, SJ Shin, IC Moon 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 1 | 2014 |
| Score Matching Model for Unbounded Data Score D Kim, S Shin, K Song, W Kang, IC Moon arXiv preprint arXiv:2106.05527, 2021 | | 2021 |
| Posterior-Aided Regularization for Likelihood-Free Inference D Kim, K Song, S Shin, W Kang, IC Moon arXiv preprint arXiv:2102.07770, 2021 | | 2021 |
| LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning YY Kim, K Song, JH Jang, IC Moon arXiv preprint arXiv:2011.04194, 2020 | | 2020 |
Il-Chul MoonAssociate Professor, Department of Industrial and Systems Engineering, KAISTVerified email at kaist.ac.kr
