| Deep neural networks for traffic flow prediction H Yi, HJ Jung, S Bae 2017 IEEE international conference on big data and smart computing (BigComp …, 2017 | 170 | 2017 |
| Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues KHN Bui, J Cho, H Yi Applied Intelligence 52 (3), 2763-2774, 2022 | 125 | 2022 |
| An automated hyperparameter search-based deep learning model for highway traffic prediction H Yi, KHN Bui IEEE Transactions on Intelligent Transportation Systems 22 (9), 5486-5495, 2020 | 56 | 2020 |
| Anomalous spin susceptibility and magnetic polaron formation in the double-exchange systems H Yi, NH Hur, J Yu Physical Review B 61 (14), 9501, 2000 | 48 | 2000 |
| A multi-class multi-movement vehicle counting framework for traffic analysis in complex areas using CCTV systems KHN Bui, H Yi, J Cho Energies 13 (8), 2036, 2020 | 43 | 2020 |
| Strdan: Synthetic-to-real domain adaptation network for vehicle re-identification S Lee, E Park, H Yi, SH Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 39 | 2020 |
| A vehicle counts by class framework using distinguished regions tracking at multiple intersections N Bui, H Yi, J Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 36 | 2020 |
| Double-exchange model with background superexchange interactions: Phase diagrams of manganites H Yi, J Yu Physical Review B 58 (17), 11123, 1998 | 36 | 1998 |
| Implementing a deep learning framework for short term traffic flow prediction H Yi, KHN Bui, H Jung Proceedings of the 9th international conference on web intelligence, mining …, 2019 | 35 | 2019 |
| Traffic density classification using sound datasets: an empirical study on traffic flow at asymmetric roads KHN Bui, H Oh, H Yi IEEE Access 8, 125671-125679, 2020 | 29 | 2020 |
| Au wetting and nanoparticle stability on GaAs (111) B E Hilner, A Mikkelsen, J Eriksson, JN Andersen, E Lundgren, A Zakharov, ... Applied physics letters 89 (25), 2006 | 27 | 2006 |
| Deep deterministic policy gradient for autonomous vehicle driving H Yi Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2018 | 21 | 2018 |
| Suppression of ferromagnetic ordering in doped manganites: Effects of the superexchange interaction H Yi, J Yu, SI Lee Physical Review B 61 (1), 428, 2000 | 20 | 2000 |
| Double-exchange model with background superexchange interactions: Phase diagrams of La~ 1~-~ xA~ xMnO~ 3 manganites H Yi, J Yu PHYSICAL REVIEW-SERIES B- 58, 11 123-11 126, 1998 | 20 | 1998 |
| A deep learning LSTM framework for urban traffic flow and fine dust prediction H Yi, KHN Bui, CN Seon J. KIISE 47 (3), 292-297, 2020 | 17 | 2020 |
| Video-based traffic flow analysis for turning volume estimation at signalized intersections KHN Bui, H Yi, H Jung, J Cho Asian Conference on Intelligent Information and Database Systems, 152-162, 2020 | 17 | 2020 |
| VDS data-based deep learning approach for traffic forecasting using LSTM network H Yi, KHN Bui Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019 | 16 | 2019 |
| Big data analytics-based urban traffic prediction using deep learning in ITS KHN Bui, H Yi, H Jung, J Seo Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2019 | 12 | 2019 |
| Monte Carlo study of the magnetic phase diagram of a double-exchange model with the background superexchange interaction H Yi, SI Lee Physical Review B 60 (9), 6250, 1999 | 11 | 1999 |
| Optimal hyperparameter tuning using meta-learning for big traffic datasets KHN Bui, H Yi 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | 10 | 2020 |
