Sung-Hyun Sim

20 papers B 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting.
CoRR
Jaehoon Lee, Seungwoo Lee, Younghwi Kim, Dohee Kim, Sung-Hyun Sim
2026 J jnl
Legacy Learning Strategy Based on Few-Shot Font Generation Models for Automatic Text Design.
Inf. Process. Manag.
Younghwi Kim, Seok Chan Jeong, Dohee Kim, Sung-Hyun Sim
2025 — conf
Multi-Dimensional Interdependency Network for Long-Term Forecasting of Pollutant Emissions from Arctic Ocean Ships.
ICECET
Younghwi Kim, Sung-Hyun Sim
2025 — conf
Spatio-Temporal Multimodal Large Language Model for Air Quality Index Prediction.
ICECET
Seungwoo Lee, Sung-Hyun Sim
2025 J jnl
Trend-Fluctuation Correlated Attention Unit for Remaining Useful Life Prediction.
IEEE Access
Hanbyeol Park, Sung-Hyun Sim, Yunkyung Park, Hyerim Bae
2024 J jnl
Artificial Intelligence-based Smart Port Logistics Metaverse for Enhancing Productivity, Environment, and Safety in Port Logistics: A Case Study of Busan Port.
CoRR
Sung-Hyun Sim, Dohee Kim, Kikun Park, Hyerim Bae
2024 J jnl
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding.
CoRR
Younghwi Kim, Dohee Kim, Sung-Hyun Sim
2024 J jnl
Legacy Learning Using Few-Shot Font Generation Models for Automatic Text Design in Metaverse Content: Cases Studies in Korean and Chinese.
CoRR
Younghwi Kim, Seok Chan Jeong, Sung-Hyun Sim
2024 — conf
Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory Prediction.
CogMI
Gawon Lee, Dohee Kim, Segil Park, Sung-Hyun Sim, Ling Liu, Hyerim Bae
2024 J jnl
Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data.
IEEE Access
Jaehoon Lee, Dohee Kim, Sung-Hyun Sim
2023 J jnl
Bagging Recurrent Event Imputation for Repair of Imperfect Event Log With Missing Categorical Events.
IEEE Trans. Serv. Comput.
Sung-Hyun Sim, Hyerim Bae, Ling Liu
2023 J jnl
Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Sung-Hyun Sim, Dohee Kim, Hyerim Bae
2023 — conf
Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder.
CogMI
Dohee Kim, Sung-Hyun Sim, Bori Yoon, Ling Liu, Hyerim Bae
2023 — conf
Temporal Attention Gate Network With Temporal Decomposition for Improved Prediction Accuracy of Univariate Time-Series Data.
ICAIIC
Sung-Hyun Sim, Dohee Kim, Seok Chan Jeong
2022 J jnl
Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding.
IEEE Access
Sung-Hyun Sim, Riska Asriana Sutrisnowati, Seokrae Won, Sanghwa Lee, Hyerim Bae
2022 J jnl
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning.
CoRR
Sung-Hyun Sim, Ling Liu, Hyerim Bae
2022 J jnl
CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data.
CoRR
Sung-Hyun Sim, Dohee Kim, Hyerim Bae
2019 B conf
Likelihood-based Multiple Imputation by Event Chain Methodology for Repair of Imperfect Event Logs with Missing Data.
ICPM
Sung-Hyun Sim, Hyerim Bae, Yulim Choi
2018 J jnl
Statistical Verification of Process Model Conformance to Execution Log Considering Model Abstraction.
Int. J. Cooperative Inf. Syst.
Sung-Hyun Sim, Hyerim Bae, Yulim Choi, Ling Liu
2016 — conf
Statistical Verification of Process Conformance Based on Log Equality Test.
CIC
Hyerim Bae, Sung-Hyun Sim, Yulim Choi, Ling Liu