Jaeyeon Jang

Orcid: 0000-0001-6255-2044

According to our database1, Jaeyeon Jang authored at least 23 papers between 2019 and 2025.

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Bibliography

2025
Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Credit scoring using multi-task Siamese neural network for improving prediction performance and stability.
Expert Syst. Appl., 2025

2024
Collective Decision of One-vs-Rest Networks for Open-Set Recognition.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

A two-stage semi-supervised object detection method for SAR images with missing labels based on meta pseudo-labels.
Expert Syst. Appl., February, 2024

Synthetic unknown class learning for learning unknowns.
Pattern Recognit., 2024

Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling.
CoRR, 2024

Adaptive Teaching with Shared Classifier for Knowledge Distillation.
CoRR, 2024

Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network.
CoRR, 2024

2023
Real-time path planning of controllable UAV by subgoals using goal-conditioned reinforcement learning.
Appl. Soft Comput., October, 2023

A test vector selection method based on machine learning for efficient presilicon verification.
Expert Syst. Appl., August, 2023

A deep learning-based conditional system health index method to reduce the uncertainty of remaining useful life prediction.
Soft Comput., April, 2023

Decision fusion approach for detecting unknown wafer bin map patterns based on a deep multitask learning model.
Expert Syst. Appl., April, 2023

Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints.
CoRR, 2023

2022
Siamese Network-Based Health Representation Learning and Robust Reference-Based Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, 2022

Unstructured borderline self-organizing map: Learning highly imbalanced, high-dimensional datasets for fault detection.
Expert Syst. Appl., 2022

Measuring single-cell level gene expression stability and variability in healthy and severe COVID-19 patients using Kullback-Leibler divergence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Discriminative feature learning and cluster-based defect label reconstruction for reducing uncertainty in wafer bin map labels.
J. Intell. Manuf., 2021

A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks.
J. Intell. Manuf., 2021

A Cross-Cultural Comparative Study on the Startup Discourse in 2000-2019 between United States and China.
Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication, 2021

2020
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition.
CoRR, 2020

Aggregate production planning considering implementation error: A robust optimization approach using bi-level particle swarm optimization.
Comput. Ind. Eng., 2020

2019
Automatic inspection of salt-and-pepper defects in OLED panels using image processing and control chart techniques.
J. Intell. Manuf., 2019

Adaptive Weapon-to-Target Assignment Model Based on the Real-Time Prediction of Hit Probability.
IEEE Access, 2019


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