| An efficient approximate solution for stochastic Lanchester models D Kim, H Moon, D Park, H Shin Journal of the Operational Research Society, 1-12, 2017 | 14 | 2017 |
| Some properties of nonlinear Lanchester equations with an application in military D Kim, H Moon, H Shin Journal of Statistical Computation and Simulation 87 (13), 2470-2479, 2017 | 9 | 2017 |
| Gaussian approximation of stochastic Lanchester model for heterogeneous forces D Park, D Kim, H Moon, H Shin Journal of Korean Institute of Industrial Engineers 42 (2), 86-95, 2016 | 8 | 2016 |
| Large language models meet collaborative filtering: an efficient all-round LLM-based recommender system S Kim, H Kang, S Choi, D Kim, M Yang, C Park Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 6 | 2024 |
| Task Relation-aware Continual User Representation Learning S Kim, N Lee, D Kim, M Yang, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| A hybrid of deep audio feature and i-vector for artist recognition J Park, D Kim, J Lee, S Kum, J Nam arXiv preprint arXiv:1807.09208, 2018 | 5 | 2018 |
| Optimizing the multistage university admission decision process D Kim, N Kim, J Cho, H Shin INFORMS Journal on Applied Analytics 49 (6), 422-429, 2019 | 4 | 2019 |
| Markov Decision Process for Curling Strategies K Bae, DH Park, DH Kim, H Shin Journal of Korean Institute of Industrial Engineers 42 (1), 65-72, 2016 | 2 | 2016 |
| Are Spring and Fall in South Korea Getting Shorter? DH Kim, H Shin Journal of Korean Institute of Industrial Engineers 39 (6), 546-553, 2013 | 1 | 2013 |
| Learning to Select: Problem, Solution, and Applications H Ryu, D Kim, H Shin | | 2018 |
| An Explanatory Matrix Factorization with User Comments Data D Kim, H Shin | | 2017 |
| The optimal decision making for the university admission problem 신하용， 김남용， 김동현 한국경영과학회 학술대회논문집, 2884-2905, 2016 | | 2016 |
Hayong ShinKAISTVerified email at kaist.ac.kr
