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Inbeom Park

In-Beom Park

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2026
[j10]
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In-Beom Park, Jaeseok Huh:
A genetic algorithm with feasibility-agnostic encoding and three-phase decoding for scheduling semiconductor manufacturing facilities under queue time limits. Expert Syst. Appl. 301: 130310 (2026)
2025
[j9]
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Yooseok Lim, In-Beom Park, Sujee Lee:
A Reinforcement Learning Framework for Personalized Anticoagulation Dosing in Critical Care: Integrating Batch-Constrained Policy Optimization and Off-Policy Evaluation. IEEE Access 13: 203145-203157 (2025)
[j8]
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Sukhyun Cho, Dokyun Kim, Jonghun Park, In-Beom Park:
TSDNet: A two-stage decomposition-based hybrid deep neural network for long-term time series forecasting. Intell. Data Anal. 29(6): 1399-1418 (2025)
[j7]
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Donghun Lee, In-Beom Park, Kwanho Kim:
A self-imitation learning approach for scheduling evaporation and encapsulation stages of OLED display manufacturing systems. Robotics Comput. Integr. Manuf. 93: 102917 (2025)
2024
[j6]
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Donghun Lee, In-Beom Park, Kwanho Kim:
An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions. Appl. Soft Comput. 164: 112002 (2024)
[i1]
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Yooseok Lim, Inbeom Park, Sujee Lee:
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm. CoRR abs/2409.15753 (2024)
2023
[j5]
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In-Beom Park, Jaeseok Huh, Jonghun Park:
A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning. IEEE Access 11: 50631-50641 (2023)
[j4]
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In-Beom Park, Jonghun Park:
Scalable Scheduling of Semiconductor Packaging Facilities Using Deep Reinforcement Learning. IEEE Trans. Cybern. 53(6): 3518-3531 (2023)
2021
[j3]
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Bohyung Paeng, In-Beom Park, Jonghun Park:
Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups. IEEE Access 9: 101390-101401 (2021)
2020
[j2]
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In-Beom Park, Jaeseok Huh, Joongkyun Kim, Jonghun Park:
A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities. IEEE Trans Autom. Sci. Eng. 17(3): 1420-1431 (2020)

2010 – 2019

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2018
[j1]
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Younghoon Lee, Inbeom Park, Sungzoon Cho, Jinhae Choi:
Smartphone user segmentation based on app usage sequence with neural networks. Telematics Informatics 35(2): 329-339 (2018)

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