Seungmin Jin

Publications⁸

• Article Jin S., Lee H., Park C., Chu H., Tae Y., Choo J., Sungahn K. A Visual Analytics System for Improving Attention-based Traffic Forecasting Models // IEEE Transactions on Visualization and Computer Graphics. 2023. Vol. 29. No. 1. P. 1102-1112. doi
• Article Chu H., Kim J., Kim S., Lim H., Lee H., Jin S., Lee J., Kim T., Ko S. An Empirical Study on How People Perceive AI-Generated Music // CIKM: ACM International Conference on Information & Knowledge Management (США). 2022. P. 304-314. doi
• Article Lee H., Jin S., Chu H., Lim H., Ko S. Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting // ICLR: International Conference on Learning Representations (США). 2022
• Article Lee H., Park C., Jin S., Lee H., Choo J., Ko S. An Empirical Experiment on Deep Learning Models for Predicting Traffic Data // ICDE: International Conference on Data Engineering (США). 2021. P. 1817-1822. doi
• Article Lee C., Kim Y., Jin S., Kim D., Maciejewski R., Ebert D., Ko S. A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion // IEEE Transactions on Visualization and Computer Graphics. 2020. Vol. 26. No. 11. P. 3133-3146. doi
• Article Beknazarov N., Jin S., Poptsova M. Deep learning approach for predicting functional Z-DNA regions using omics data // Scientific Reports. 2020. Vol. 10. P. 19134. doi
• Article Park C., Lee C., Bahng H., Tae Y., Jin S., Kim K., Ko S., Choo J. ST-GRAT: A Novel Spatio-Temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed // CIKM: ACM International Conference on Information & Knowledge Management (США). 2020. P. 1215-1224. doi
• Chapter Jin S., Ali R., Vlasov A. Cryptoeconomics: Data Application for Token Sales Analysis, in: INTERNATIONAL CONFERENCE INFORMATION SYSTEMS 2017 SPECIAL INTEREST GROUP ON BIG DATA PROCEEDINGS / Отв. ред.: N. Kazantsev. Assiciation of Information Systems Electronic Library (AISel), 2017.