| Effective urban region representation learning using heterogeneous urban graph attention network (hugat) N Kim, Y Yoon arXiv preprint arXiv:2202.09021, 2022 | 10 | 2022 |
| Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York N Kim, Y Yoon Procedia Computer Science 184, 388-395, 2021 | 9 | 2021 |
| Cooperative sUAV collision avoidance based on satisficing theory N Kim, Y Yoon International Journal of Aeronautical and Space Sciences 20 (4), 978-986, 2019 | 8 | 2019 |
| Preliminary impact assessment of restricting airspace over populated areas for sUAS operation S Oh, J Cho, NW Kim, Y Yoon The Transportation Research Board (TRB) 99th Annual Meeting, 2020 | 7 | 2020 |
| Representation learning of urban regions via mobility-signature-based zone embedding: A case study of Seoul, South Korea N Kim, Y Yoon Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location …, 2021 | 3 | 2021 |
| Multi-modal based region representation learning considering mobility data in Seoul G Seong, N Kim, S Kim, Y Yoon Procedia Computer Science 220, 251-258, 2023 | 2 | 2023 |
| How to assess the feasibility of sUAS applications in urban environment: geodemographic analysis of 3D urban space NW Kim, Y Yoon 9th International Conference for Research in Air Transportation. ICRAT 2020, 2020 | 2 | 2020 |
| Regionalisation for urban air mobility application in metropolitan areas: case studies in San Francisco and New York' N Kim, Y Yoon International Journal of Traffic and Transportation Management 3 (2), 1-8, 2021 | 1 | 2021 |
| The effect of adaptive mobility policy to the spread of COVID-19 in urban environment: intervention analysis of Seoul, South Korea Y Yoon, S Oh, J Cho, Y Shin, S Kim, N Kim, H Cho arXiv preprint arXiv:2006.10526, 2020 | 1 | 2020 |
| COVID-19 Mobility Data Collection of Seoul, South Korea J Cho, S Oh, S Kim, N Kim, Y Shin, H Cho, Y Yoon arXiv preprint arXiv:2006.08365, 2020 | 1 | 2020 |
| Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks Y Shin, N Kim, H Lee, SY In, M Hansen, Y Yoon Engineering Applications of Artificial Intelligence 132, 107936, 2024 | | 2024 |
| Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data Y Shin, G Seong, N Kim, S Kim, Y Yoon Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in …, 2023 | | 2023 |
| A Heterogeneous Attention Network Model for Longitudinal Analysis of Socioeconomic and Racial Inequalities in Urban Regions: Evidence from Chicago, IL N Kim, H Lee, Y Yoon Proceedings of the 31st ACM International Conference on Advances in …, 2023 | | 2023 |
| Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning H Lee, N Kim, S Kim, Y Yoon Procedia Computer Science 220, 259-266, 2023 | | 2023 |
| Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea J Cho, Y Shin, S Kim, N Kim, S Oh, H Cho, Y Yoon arXiv preprint arXiv:2009.09073, 2020 | | 2020 |
| A study on the urban airspace for sUAV operation NW Kim, Y Yoon The Thirty-Second KKHTCNN Symposium on Civil Engineering, 2019 | | 2019 |
| sUAV Collision Avoidance Strategies Based On Satisficing Game Theory NW Kim, Y Yoon The 31st KKHTCNN Symposium on Civil Engineering, 2018 | | 2018 |
| Predicting Seoul Subway Hourly Passenger Demand Using Neural Network Models YY Shin, J Cho, NW Kim, Y Yoon The 2nd Asian Conference on Railway Engineering and Transportation, 2018 | | 2018 |
| Conflict Resolution Policy for Small UAV Based on Satisficing Theory NW Kim, Y Yoon The 22nd ATRS World Conference, 2018 | | 2018 |
