Yong Oh Lee

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 23

Top Topics

Illumination Invariance

Feature Generation

Top Venues

Pattern Recognit.

Publications

Hana Kim, Yong Oh Lee, Changsoo Ok, Dongkyun Kim, Seungyup Baek
Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective. BigData (2023)
Dongkyun Kim, Yong Oh Lee, Changhyun Jun, Seokkoo Kang
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. 61 (2023)
Jaemin Song, Yong Oh Lee, Seho Park, Youn Kyu Lee, Hansang Park, Hyun-Bum Kim
Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal Embedding. BigData (2023)
Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee
Supervised segmentation with domain adaptation for small sampled orbital CT images. J. Comput. Des. Eng. 9 (2) (2022)
Sangrak Lim, Yong Oh Lee, Juyong Yoon, Young Jun Kim
Affinity prediction using deep learning based on SMILES input for D3R grand challenge 4. J. Comput. Aided Mol. Des. 36 (3) (2022)
Sungho Suh, Jihun Kim, Paul Lukowicz, Yong Oh Lee
Two-stage generative adversarial networks for binarization of color document images. Pattern Recognit. 130 (2022)
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Discriminative feature generation for classification of imbalanced data. Pattern Recognit. 122 (2022)
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. Knowl. Based Syst. 237 (2022)
Sungho Suh, Sojeong Cheon, Dong-Jin Chang, Deukhee Lee, Yong Oh Lee
Sequential Lung Nodule Synthesis Using Attribute-Guided Generative Adversarial Networks. MICCAI (6) (2021)
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. CoRR (2021)
Sungho Suh, Haebom Lee, Paul Lukowicz, Yong Oh Lee
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems. Neural Networks 133 (2021)
Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images. CoRR (2021)
Sungho Suh, Jihun Kim, Paul Lukowicz, Yong Oh Lee
Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal. CoRR (2020)
Sangrak Lim, Yong Oh Lee
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation. ICPR (2020)
Sungho Suh, Joel Jang, Seungjae Won, Mayank Shekhar Jha, Yong Oh Lee
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. Sensors 20 (20) (2020)
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. CoRR (2020)
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. ICPR (2020)
Sangrak Lim, Yong Oh Lee
Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation. CoRR (2020)
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Discriminative feature generation for classification of imbalanced data. CoRR (2020)
Sungho Suh, Haebom Lee, Yong Oh Lee, Paul Lukowicz, Jongwoon Hwang
Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks. ICIP (2019)
Jun Jo, Yong Oh Lee, Jongwoon Hwang
Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals. AI4I (2018)
Haebom Lee, Jun Jo, Yong Oh Lee, Korkmaz Zirpel Nuriye, Leon Abelmann
Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs. PACBB (2018)
Yong Oh Lee, Jun Jo, Jongwoon Hwang
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection. IEEE BigData (2017)
Yong Oh Lee, A. L. Narasimha Reddy
Multipath routing for reducing network energy. OnlineGreenComm (2012)
Yong Oh Lee, A. L. Narasimha Reddy
Constructing disjoint paths for failure recovery and multipath routing. Comput. Networks 56 (2) (2012)
Yong Oh Lee, Balaji Rengarajan, A. L. Narasimha Reddy
Reaching approximate Wardrop equilibrium at reduced costs of link state updates. COMSNETS (2011)
Yong Oh Lee
Improving performance and energy savings through alternative forwarding. SIGMETRICS Perform. Evaluation Rev. 39 (3) (2011)
Yong Oh Lee, A. L. Narasimha Reddy
Disjoint Multi-Path Routing and Failure Recovery. ICC (2010)
Yong Oh Lee, Jongkyung Kim, Kyung-Ho Sohn, Jongsoo Seo, Young Yong Kim
Adaptive Packet Assignment Schemes in Multi-User OFDM Systems. VTC Spring (2007)