2025

• 1. 1. Younghwi Kim, Dohee Kim, Joongrock Kim, Sunghyu Sim*, "Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting " (Submit IEEE Transactions on Bigdata, SCIE, https://arxiv.org/ abs/2408.16896, Code)

     2. Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae*, "Hybrid Temporal Auto Encoder and Similarity Matching for Low Aggregation Level Long Time-Series Forecasting" (Submit, Journal of Forecasting, SCIE)

     3. Sunghyun Sim, Dohee Kim, Kikun Park, Sekil Park, Hyerim Bae*, "Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port" (In revision for IEEE Access, SCIE,  https://arxiv.org/abs/2409.10519 )

     4. Younghwi Kim, Dohee Kim, Seok Chan Jeong, Sunghyun Sim* "Legacy Learning Strategy Based on Few-Shot Font Generation Models for Automatic Text Design" (In revision for Information Processing & Management, SCIE, https://arxiv.org/pdf/2408.16900)

     5. Younghwi Kim, Jaehoon Lee, Hyerim Bae*, Sunghyun Sim*, "How Will Arctic Shipping Emissions Evolve? A Spatiotemporal Topology-Aware Transformer Approach", Transportation Research Part D: Transport and Environment, Nov 2025 (SSCI, IF 7.7 <Top 7%, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5373225,  Code)

     6. Suhyun Jo, Gawon Lee, Jaehyeon Heo, Dohee Kim, Sunghyun Sim*, Hyerim Bae*, "Deep Learning Framework for Regional Maritime Collision Risk Assessment using CNN and Grad-CAM", Ocean Engineering, Nov 2025 (SCIE, IF 5.5,  <Top 3%, Code)

     7. Hanbyeol Park, Sunghyun Sim, Minseop Kim, Yunkyung Park, Hyerim Bae* , "Trend-Fluctuation Correlated Attention Unit for Remaining Useful Life Prediction", IEEE Access, Sep 2025 (SCIE, IF 3.6, https://ieeexplore.ieee.org/document/11153658)

     8. Younghwi Kim, Jaehoon Lee, Seungwoo Lee and Sunghyun Sim*, "Dual-dimensional Dependency Fusion Transformer for Long-Term Spatiotemporal Flow Prediction", ICIC Express Letters, Jul 2025 (https://doi.org/10.24507/icicel.19.07.795,  Code)

2024

• 1. 9. Jaehoon Lee, Eunhee Park and Sunghyun Sim* "Temporal Feature Representation Learning for Time-Series Clustering with Variational Mode Decomposition",  ICIC Express Letters, Aug 2024 (https://doi.org/10.24507/icicel.18.08.875)

     10. Jaehoon Lee, Dohee Kim, and Sunghyun Sim*, "Temporal Multi-features Representation Learning-Based Clustering for Time-Series Data", IEEE Access, Jun 2024 (SCIE, IF 3.9, https://ieeexplore.ieee.org/document/10565866, Code) 

     11. Dohee Kim, Sangjae Lee, Sunghyun Sim, and Hyerim Bae*, "A robust eXplainable feature selection method based on Order Statistics", ICIC Express Letters, March 2024 (https://doi.org/10.24507/icicel.18.03.255)

2023

• 1. 12. Sunghyun Sim, Dohee Kim, and Hyerim Bae*, "Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time Series Data", IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct 2023 (SCIE, <Top 1%, IF: 18.6, https://ieeexplore.ieee.org/document/10264112, Code)

     13. Sunghyun Sim, Hyerim Bae*, and Ling Liu, "Bagging Recurrent Event Imputation for Repair of Imperfect Event Log with Missing Categorical Events", IEEE Transactions on Services Computing, Jan 2023 (SCIE, IF: 5.8, <Top 9%, Link, https://ieeexplore.ieee.org/document/9566796, Code) 

2022

• 1. 14. Sunghyun Sim, Jin-Hyoung Park, and Hyerim Bae*, "Deep Collaborative Learning Model for Port-Air Pollutants Prediction using Automatic Identification System", Transportation Research Part D: Transport and Environment, Oct 2022 (SSCI, IF: 7.7, <Top 7%, https://doi.org/10.1016/j.trd.2022.103431)

     15. Sunghyun Sim, Riska Asriana Sutrisnowati, Seokare Won, Sanghwa Lee, and Hyerim Bae*, "Automatic Conversion of Event Data to Event Logs Using a CNN and Event Density Embedding", IEEE Access,  Feb 2022 (SCIE, IF: 3.6, https://ieeexplore. ieee.org/document/9682686)

2021

• 1. 16. Ilseok Lee, Sunghyun Sim, and Sangeun Jin*, "Hamstring stretching significantly changes the sitting biomechanics", International Journal of Industrial Ergonomics, Jul 2021 (SCIE, IF: 3.0, https://doi.org/10.1016/j.ergon.2021.103163)

     17. Kikun Park, Sunghyun Sim, and Hyerim Bae*, "Vessel estimated time of arrival prediction system based on a path-finding algorithm", Maritime Transport Research, Feb 2021 (https://doi.org/10.1016/j.martra.2021.100012)

Before 2020

• 1. 18. Imam Mustafa Kamal Hyerim Bae*, Sunghyun Sim, Hyemee Kim, Dohee Kim, Yulim Choi, and Heesung Yun, "Forecasting High-dimensional Multivariate Regression of Baltic Dry Index (BDI) Using Deep Neural Networks (DNN)", ICIC Express Letters, May 2020 (https://doi.org/10.24507/icicel.13.05.427)

     19. Imam Mustafa Kamal, Hyerim Bae, Sunghyun Sim, and Heesung Yun, "DERN: Deep Ensemble Learning Model for Short- and Long-Term Prediction of Baltic Dry Index", Applied Sciences, Feb 2020 (SCIE, IF: 2.5, https://doi.org/10.3390/app10041504)

     20. Natanael Yabes Wirawan, Riska Asriana Sutrisnowati, Sunghyun Sim, Nur Ichsan Utama, Nur Ahmad Wahid, Taufik Nur Adi, Yulim Choi, Imam Mustafa Kamal, Iq Reviessay Pulshashi and Hyerim Bae*, "Petri Nets Simulation for Operational Analysis Based on Process Data: An Overvies", ICIC Express Letters, Part B: Application, May 2018

     21. Sunghyun Sim, Hyerim Bae*, Yulim Choi, and Ling Liu, "Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction", International Journal of Cooperative Information Systems, Mar 2018 (SCIE, IF: 0.8, https://doi.org/10.1142/S0218843018500028)

     22. Sunghyun Sim, Yulim Choi, and Hyerim Bae*, "Statistical verification of process model fitness in process mining", ICIC Express Letters, Part B: Application, Nov 2016 

     23. Byeongjun Joo, Sunghyun Sim, and Hyerim Bae*, "Utilization of sequential data for machine learning in process control", ICIC Express Letters, Mar2016