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Hanbyeol Park
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2020 – today
- 2026
[i6]Gawon Lee, Hanbyeol Park, Minseop Kim, Dohee Kim, Hyerim Bae:
ACFormer: Mitigating Non-linearity with Auto Convolutional Encoder for Time Series Forecasting. CoRR abs/2601.20611 (2026)
[i5]Minseop Kim, Jaeeun Kwon, Hanbyeol Park, Kikun Park, Taekhyun Park, Hyerim Bae:
Application of Large Language Models for Container Throughput Forecasting: Incorporating Contextual Information in Port Logistics. CoRR abs/2602.20489 (2026)
[i4]Minseop Kim, Takhyeong Kim, Taekhyun Park, Hanbyeol Park, Hyerim Bae:
Generative AI and Machine Learning Collaboration for Container Dwell Time Prediction via Data Standardization. CoRR abs/2602.20540 (2026)
[i3]Jungho Choo, Hanbyeol Park, Gawon Lee, Yunkyung Park, Hyerim Bae:
Domain-Adaptive Health Indicator Learning with Degradation-Stage Synchronized Sampling and Cross-Domain Autoencoder. CoRR abs/2603.10430 (2026)
[i2]Hanbyeol Park, Hyerim Bae:
LAST-RAG: Literature-Anchored Stochastic Trajectory Retrieval-Augmented Generation for Knowledge-Conditioned Degradation Model Selection. CoRR abs/2605.17902 (2026)- 2025
[j1]Hanbyeol Park
, Sung-Hyun Sim, Yunkyung Park, Hyerim Bae
:
Trend-Fluctuation Correlated Attention Unit for Remaining Useful Life Prediction. IEEE Access 13: 164486-164507 (2025)
[i1]Gawon Lee, Hanbyeol Park, Minseop Kim, Dohee Kim, Hyerim Bae:
IConv: Focusing on Local Variation with Channel Independent Convolution for Multivariate Time Series Forecasting. CoRR abs/2509.20783 (2025)- 2023
[c2]Hanbyeol Park, Dohee Kim, Minseop Kim, Mingyu Park, Hyerim Bae, Yunkyung Park:
A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction. IEEE Big Data 2023: 809-818
2010 – 2019
- 2016
[c1]Hanbyeol Park, Seung-Hun Shin, Byeong-Hee Roh
, Cheolho Lee:
Identification of hosts behind a NAT device utilizing multiple fields of IP and TCP. ICTC 2016: 484-486
Coauthor Index

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