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ORCIDJonghwan Park
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2020 – today
- 2023
[j5]Jonghwan Park, Younghoon Lee
:
Oriented-tooth recognition using a five-axis object-detection approach. Appl. Intell. 53(9): 9846-9857 (2023)- [j4]Jonghwan Park, Jaegi Son, Dongmin Kim:
Resource Metric Refining Module for AIOps Learning Data in Kubernetes Microservice. KSII Trans. Internet Inf. Syst. 17(6): 1545-1559 (2023) - [j3]Dohyeok Kwon, Jonghwan Park, Songnam Hong:
Tighter Regret Analysis and Optimization of Online Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15772-15789 (2023) - 2022
- [c3]Dohyeok Kwon, Jonghwan Park, Songnam Hong:
OFedIT: Communication-Efficient Online Federated Learning with Intermittent Transmission. ICTC 2022: 1189-1192 - [c2]Jonghwan Park, Dohyeok Kwon, Songnam Hong:
FedQOGD: Federated Quantized Online Gradient Descent with Distributed Time-Series Data. WCNC 2022: 536-541 - [i1]Jonghwan Park, Dohyeok Kwon, Songnam Hong:
OFedQIT: Communication-Efficient Online Federated Learning via Quantization and Intermittent Transmission. CoRR abs/2205.06491 (2022) - 2021
- [j2]Jonghwan Park, Younghoon Lee:
Content Prioritization Based on Usage Pattern Analysis. Int. J. Hum. Comput. Interact. 37(17): 1598-1606 (2021) - [c1]Jonghwan Park, Songnam Hong:
Quantized Distributed Online Kernel Learning. ICTC 2021: 357-361
2000 – 2009
- 2008
- [j1]Jonghwan Park, Moongu Jeon, Witold Pedrycz:
Score-Based Resampling Method for Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 38(5): 1347-1355 (2008)
Coauthor Index
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