Yong Oh Lee

Orcid: 0000-0003-3817-3620

According to our database1, Yong Oh Lee authored at least 24 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Understanding the Way Machines Simulate Hydrological Processes - A Case Study of Predicting Fine-Scale Watershed Response on a Distributed Framework.
IEEE Trans. Geosci. Remote. Sens., 2023

Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal Embedding.
Proceedings of the IEEE International Conference on Big Data, 2023

Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Discriminative feature generation for classification of imbalanced data.
Pattern Recognit., 2022

Two-stage generative adversarial networks for binarization of color document images.
Pattern Recognit., 2022

Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks.
Knowl. Based Syst., 2022

Supervised segmentation with domain adaptation for small sampled orbital CT images.
J. Comput. Des. Eng., 2022

Affinity prediction using deep learning based on SMILES input for D3R grand challenge 4.
J. Comput. Aided Mol. Des., 2022

2021
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems.
Neural Networks, 2021

Sequential Lung Nodule Synthesis Using Attribute-Guided Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear.
Sensors, 2020

Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal.
CoRR, 2020

Fusion of Global-Local Features for Image Quality Inspection of Shipping Label.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2012
Constructing disjoint paths for failure recovery and multipath routing.
Comput. Networks, 2012

Multipath routing for reducing network energy.
Proceedings of the IEEE Online Conference on Green Communications, 2012

2011
Improving performance and energy savings through alternative forwarding.
SIGMETRICS Perform. Evaluation Rev., 2011

Reaching approximate Wardrop equilibrium at reduced costs of link state updates.
Proceedings of the Third International Conference on Communication Systems and Networks, 2011

2010
Disjoint Multi-Path Routing and Failure Recovery.
Proceedings of IEEE International Conference on Communications, 2010

2007
Adaptive Packet Assignment Schemes in Multi-User OFDM Systems.
Proceedings of the 65th IEEE Vehicular Technology Conference, 2007


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