Updated Oct. 6, 2021
MyoungHoon Lee†, Suhyeon Kim†, Hangyeol Kim, and Junghye Lee*, “Technology Opportunity Discovery using Deep Learning-based Text Mining and Knowledge Graph Analysis” (submitted to Technological Forecasting and Social Change).
Kyeongbin Kim†, Yoontae Hwang†, Dongcheol Lim, Suhyeon Kim, Junghye Lee*, and Yongjae Lee*, “Household Financial Health” (submitted to Management Science).
Jae-Young Kim, Eo-Jin Hwang, Junghye Lee, Eunjung Kim*, and Dong-Wook Kim*, “Patient-specific molecular response dynamics can predict the possibility of relapse during the second treatment-free remission attempt in chronic myeloid leukemia” (submitted to Haematologica).
Suhyeon Kim, Hangyeol Kim, Eun-Sol Lee, and Junghye Lee*, “Risk Score-embedded Deep Learning for Biological Age Estimation: Development and Validation” (under minor revision at Information Sciences).
Dwi Yuli Rakhmawati and Junghye Lee*, “Assessing a new superstructure index for asymmetric tolerances accounting for gauge measurement errors” (under revision at Communications in Statistics – Theory and Methods).
Wonho Sohn†, Suhyeon Kim†, Dongcheol Lim, and Junghye Lee*, “Inter-country Trade Similarity Graph-based Long Short-Term Memory (ITSG-LSTM): A Port Throughput Prediction Model based on Dynamic Graph Representation Learning” (†: equal contribution) (under revision at IEEE Transactions on Intelligent Transportation Systems).
Seok-Ju Hahn†, Suhyeon Kim†, Young Sik Choi, Junghye Lee*, and Jihun Kang*, “Prediction of Type 2 diabetes Using Polygenic Risk Score and Metabolic Information: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study” (†: equal contribution,*: co-corresponding) (under revision at Diabetologia).
Dwi Yuli Rakhmawati and Junghye Lee*, “A product acceptance decision-making method based on process capability with considering gauge measurement errors“, Communications in Statistics – Theory and Methods, July 2021.
Suhyeon Kim†, Wonho Sohn†, Dongcheol Lim, and Junghye Lee*, “A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data“, Expert Systems with Applications (†: equal contribution), 183, November 2021.
Junghye Lee*, Suhyeon Kim, Yejin Kim, and Hyewon Kang, “Artificial Intelligence Technology Trend Viewed through NeurIPS 2020” (published by National Information Society Agency, NIA), March 2021.
Taek-Ho Lee, Junghye Lee*, and Chi-Hyuck Jun*, “Bilingual Autoencoder-based Efficient Harmonization of Multi-source Private Data for Accurate Predictive Modeling“, Information Sciences (*: co-corresponding), 568, August 2021.
Junghye Lee*, Inyoung Choi, and Chi-Hyuck Jun, “An efficient multivariate feature ranking method for gene selection in high-dimensional data”, Expert Systems with Applications, 166, March 2021.
Junghye Lee*, Junyong Jeong, and Chi-Hyuck Jun, “Markov blanket-based universal feature selection for classification and regression of mixed-type data”, Expert Systems with Applications, 158, November 2020.
Suhyeon Kim, Haecheong Park, and Junghye Lee*, “Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis”, Expert Systems with Applications, 152, August 2020.
Junghee Lee, Daehyun Han, Minso Shin, Jungho Im*, Junghye Lee, and Lindi Quackenbush, “Different spectral domain transformation for land cover classification using convolutional neural networks with multi-temporal satellite imagery”, Remote Sensing, 12(7), March 2020.
Miran Kim, Junghye Lee*, Lucila Ohno-Machado, and Xiaoqian Jiang, “Secure and differentially private distributed logistic regression for horizontally distributed data”, IEEE Transactions on Information Forensics and Security, 15, 695-710, June 2019.
Miae Kim, Junghee Lee, Daehyun Han, Minso Shin, Junghye Lee, Lindi Quackenbush, Zhu Gu, and Jungho Im*, “Convolutional neural network-based land cover classification using 2-D spectral reflectance curve graphs with multi-temporal satellite imagery”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), 4604-4617, December 2018.
Junghye Lee, Ryeok-Hwan Kwon, Hyeong-Woo Kim, Sung-Hong Kang, Kwang-Jae Kim, and Chi-Hyuck Jun*, “A data-driven procedure of providing health promotion program for hypertension prevention”, Service Science, 10(3), 289-301, September 2018.
Yingxiang Huang†*, Junghye Lee†, Shuang Wang, Jimeng Sun, Hongfang Liu, and Xiaoqian Jiang, “Privacy-preserving harmonization of distributed word embedding from different sources”, Journal of Medical Internet Research Medical Informatics (†: equal contribution), 6(2), May 2018.
Junghye Lee*, Jimeng Sun, Fei Wang, Shuang Wang, Chi-Hyuck Jun, and Xiaoqian Jiang, “Privacy-preserving patient similarity learning in a federated environment”, Journal of Medical Internet Research Medical Informatics, 6(2), April 2018. (selected in the 2019 edition of the Yearbook as one of the top 3 best articles out of 1,480 papers (0.2%) published in 2018 regarding ‘AI in Health: New Opportunities, Challenges, and Practical Implications’ link)
Miae Kim†, Junghye Lee†, and Jungho Im*, “Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data”, GIScience & Remote Sensing (†: equal contribution), April 2018.
Kyeol Chang, Junghye Lee*, Chi-Hyuck Jun, and Hoeil Chung*, “Interleaved Incremental Association Markov Blanket as a potential feature selection method enabling of improving accuracy of near-infrared spectroscopic analysis”, Talanta (*: co-corresponding), 178, 348-354, February 2018.
Junghye Lee, Wonji Lee, Il-su Park, Hun-Sung Kim, Hyeseon Lee, and Chi-Hyuck Jun*, “Risk assessment for hypertension and hypertension complications incidences using a Bayesian network“, IISE Transactions on Healthcare Systems Engineering, 6(4), 246-259, October 2016.
Kyeol Chang, Junghye Lee, Chi-Hyuck Jun, and Hoeil Chung*, “Acquisition of a series of temperature-varied sample spectra to induce characteristic structural changes of components and selection of target-descriptive variables among them for multivariate analysis to improve accuracy”, Applied Spectroscopy Reviews, 51(7-9), 718-734, May 2016.
Junghye Lee, Kyeol Chang, Chi-Hyuck Jun, Rae-Kwang Cho, Hoeil Chung*, and Hyeseon Lee*, “Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysis”, Chemometrics and Intelligent Laboratory Systems, 147, 139-146, October 2015.
Junghye Lee and Chi-Hyuck Jun*, “Classification of high dimensionality data through feature selection using Markov blanket”, Industrial Engineering & Management Systems, 14(2), 210-219, June 2015.
Su-Dong Lee, Junghye Lee, and Chi-Hyuck Jun*, “Causality analysis for public and private expenditures on health using panel Granger-causality test”, Industrial Engineering & Management Systems, 14(1), 104-109, March 2015.
Wonji Lee, Junghye Lee, Hyeseon Lee, Chi-Hyuck Jun, Il-su Park, and Sung-Hong Kang*, “Prediction of hypertension complications risk using classification techniques“, Industrial Engineering & Management Systems, 13(4), 449-453, December 2014.
Jinyi Park, Junghye Lee, Chi-Hyuck Jun, Hun-Sung Kim*, and Hyeseon Lee*, “A general informative methodology for predicting hyperlipidemia complications” (in progress).
Subspace learning for personalized federated optimization, 2021
Gas detection model generator and its method based on CNN algorithm, 2021
Effective time-series data processing technique for preserving time-series characteristics of data and securing a sufficient amount of data, 2021
Deep Learning-based Port Traffic Volume Prediction System and Method using Country-specific Trade Similarity Graphs, 2021
Sensor Drift for Classification of Gas Mixtures in Electronic Nose Systems, 2020
Type 2 Diabetes Mellitus Prediction System Using Genome-wide Polygenic Risk Score, 2020
Apparatus and Method for Calculating Risk Index based on Learning Reflecting Risk Score, 2020
Apparatus and Method for Estimating Biological Age based on Deep Learning, 2020
Federated Data Analysis-based Early Lung Cancer Detection, 2020
Automatic Malfunction Detection and Correction Algorithm based on Liquid Oil Cargo Item Description, 2020
Development of Voice Activity Detection Algorithms, 2019 (granted)
Sangkyu Kim, Jungmok Bae, Joonhyung Lee, Hyeseon Lee, Hoeil Chung, Junghye Lee, Kyeol Chang, Seongho Cho, “Method and Device for Measuring a Biological Signal” (Patent number: 20160235375).