Domestic Conference
Wonho Sohn, Junghye Lee, "Single-Cell Multi-Omics Data Integration via Anchor Graph-based Cross Autoencoder", Proceedings of KIIE 2024 Fall Conference, Seoul, Korea, October 24-25.
Hyerim Park, Dongcheol Lim, Jihun Kang, and Junghye Lee, "A Framework for Postprandial Continuous Glucose Prediction Utilizing the Real-world Heterogeneous Healthcare Data", Proceedings of KIIE 2024 Fall Conference, Seoul, Korea, October 24-25.
HyeRim Park, Wonho Sohn, Eunjin Kang, Jungho Im, Junghye Lee, "A Deep Learning Model for Developing an Environmental Comprehensive Quality Index Using LSTM-Autoencoder: A Study with Korean Air Quality Data", Proceedings of KIIE 2023 Fall Conference, Ulsan, Korea, November 2-3.
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee, "Fairness-aware Adaptive Decision Making for Fair Federated Learning", Proceedings of KIIE 2023 Fall Conference, Ulsan, Korea, November 2-3.
Wonho Sohn, Suhyeon Kim, Dongcheol Lim, HyeRim Park, Wonju Lee, Junho Kim, Hwansung Yu, Junghye Lee, "Fashion outfit recommendation using multi-modal attention mechanism", Proceedings of KIIE 2023 Fall Conference, Ulsan, Korea, November 2-3.
MyoungHoon Lee, Junghye Lee, "FNetE: Mixing Entity and Relation Embeddings using Fourier Transforms for Knowledge Graph Completion", Proceedings of KIIE 2023 Fall Conference, Ulsan, Korea, November 2-3.
Suhyeon Kim, Taek-Ho Lee, Junghye Lee, "Temporal Matrix Factorization-based Graph Neural Network for Multivariate Time Series Forecasting with Missing Values", Proceedings of KORMS & KIIE 2023 Joint Conference, Jeju, Korea, May 31-June 03, 2023.
Taek-Ho Lee, Suhyeon Kim, Chi-Hyuck Jun, Junghye Lee, "Privacy-preserving Federated Predictive Analysis using Harmonized Embedding-based Self-attentive Encoder", Proceedings of KORMS & KIIE 2023 Joint Conference, Jeju, Korea, May 31-June 03, 2023.
Dongcheol Lim, Suhyeon Kim, Junghye Lee, "Explainable Deep Supervised Learning-based Biological Age Estimation with Risk Score", Proceedings of KORMS & KIIE 2023 Joint Conference, Jeju, Korea, May 31-June 03, 2023.
Wonho Sohn, Dongcheol Lim, Suhyeon Kim, HyeRim Park, Junghye Lee, Junho Kim, Seolhee Noh, Doosup Choi, Yongmin Choi, Wonji Lee, Hwansung Yu, "SI-MCN: Style Identifiable Outfit Compatibility Learning for Fashion Recommendations", Proceedings of KIIE 2022 Fall Conference, Incheon, Korea, November 04-05, 2022.
Yejin Kim, Junghye Lee, "Graph convolution-based anomaly diagnosis in multivariate time series data", Proceedings of KIIE 2022 Fall Conference, Incheon, Korea, November 04-05, 2022.
Suhyeon Kim, Taek-Ho Lee, Junghye Lee, "T-NESNet: Temporal Node-Edge Switching Network for Multivariate Time Series Forecasting", Proceedings of KORMS & KIIE 2022 Joint Conference, Jeju, Korea, June 01-04, 2022.
Seok-Ju Hahn, MyoungHoon Lee, Yejin Kim, Jungeun Son, Hojong Jung, Daehyun Sunwoo, Kyeongbin Kim, Junghye Lee, "Anomaly Detection in Multivariate Time Series for Variable Refrigerant Flow System", Proceedings of KORMS & KIIE 2022 Joint Conference, Jeju, Korea, June 01-04, 2022.
Taek-Ho Lee, Suhyeon Kim, Junghye Lee, Chi-Hyuck Jun, "Efficient Privacy-preserving Shared Representation Learning in Cross-device Federated Learning", Proceedings of KORMS & KIIE 2022 Joint Conference, Jeju, Korea, June 01-04, 2022.
Jaeho Kim, Yejin Kim, Sahee Park, EoJin Hwang, Dong-Wook Kim, Junghye Lee, "A machine learning-based system to assist the selection of the optimal Tyrosine Kinase Inhibitor for Chronic Myeloid Leukemia patients", Proceedings of KORMS & KIIE 2022 Joint Conference, Jeju, Korea, June 01-04, 2022.
Hyewon Kang, Jaeho Kim, Junghye Lee, "Recurrence Plot based Graph Convolutional Network for Time-Series Classification", Proceedings of KORMS & KIIE 2022 Joint Conference, Jeju, Korea, June 01-04, 2022.
MyoungHoon Lee, Wonho Sohn, Junghye Lee, "PA-UIBiGNN: Personalized Attention-based User and Item Bi-interactive Graph Neural Networks", Proceedings of KORMS & KIIE 2022 Joint Conference, Jeju, Korea, June 01-04, 2022.
Seok-Ju Hahn, Minwoo Jeong, Junghye Lee, "Learning a Personalized Subspace for Federated Learning", Proceedings of KIIE 2021 Fall Conference, Seoul, Korea, November 12, 2021.
Jaeho Kim, Hyewon Kang, Jaewan Yang, Haneul Jung, Junghye Lee, "A smart insole needs a recurrence plot: On the analysis of bodyweight, action, and speed prediction using deep learning", Proceedings of KIIE 2021 Fall Conference, Seoul, Korea, November 12, 2021.
MyoungHoon Lee, Suhyeon Kim, Hangyeol Kim, Junghye Lee, "Development of Technology Opportunity Discovery index based on Knowledge Graph Analysis and Deep Learning-based Text mining ", Proceedings of KORMS & KIIE 2021 Joint Conference, Jeju, Korea, June 2-5, 2021.
Wonho Sohn, Suhyeon Kim, Dongcheol Lim and Junghye Lee, "A Port Throughput Prediction Model based on Dynamic Graph Representation Learning", Proceedings of KORMS & KIIE 2021 Joint Conference, Jeju, Korea, June 2-5, 2021.
Seok-Ju Hahn and Junghye Lee, "Federated Learning with Learned Sufficient Statistic and Generative Models", Proceedings of KORMS & KIIE 2021 Joint Conference, Jeju, Korea, June 2-5, 2021.
Ki-hyuk Yoon, Kyeongbin Kim, Hojin Cho, Junghye Lee, Chiehyeon Lim, "Artificial intelligence development and practical process application for quality prediction and process optimization of petrochemical processes", Proceedings of KSQM 2021 Spring Conference, Seoul, Korea, May 21, 2021.
Yeongjae Gil and Junghye Lee, "Differentially Private and Secure Distributed Logistic Regression based on Preconditioned Stochastic Gradient Langevin Dynamics", Proceedings of KIIE 2019 Fall Conference, Seoul, Korea, November 8, 2019.
Seok-Ju Hahn and Junghye Lee, "Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data", Proceedings of KIIE 2019 Fall Conference, Seoul, Korea, November 8, 2019.
Suhyeon Kim, Wonho Sohn, Dongcheol Lim and Junghye Lee, "Development of A Novel Framework for Liquid Bulk Cargo Volume Analysis", Proceedings of KIIE 2019 Fall Conference, Seoul, Korea, November 8, 2019.
Suhyeon Kim, Hangyeol Kim and Junghye Lee, "Development of Biological Age based on Representation Learning", Proceedings of KDMS 2018 Spring Conference, Seoul, Korea, November 8, 2018.
Suhyeon Kim, Haecheong Park and Junghye Lee, "Word2vec based Latent Semantic Analysis (W2V-LSA): New Topic Modeling Method for Trend Analysis on Blockchain Technology Research", Proceedings of KIIE 2018 Fall Conference, Seoul, Korea, November 8, 2018.
Junghye Lee and Chi-Hyuck Jun, "A new feature ranking method using a Markov blanket for gene selection", Proceedings of KIIE 2015 Fall Conference, Seoul, Korea, November 7, 2015.
Su-Dong Lee, Junghye Lee and Chi-Hyuck Jun, "Does public expenditure on health help to decrease private health expenditure? - Panel Granger-causality evidence for OECD countries", Proceedings of KORMS, KIIE, ESK, KSIE & KSS 2015 Joint Conference, Jeju, Korea, April 8-11, 2015.
Junghye Lee and Chi-Hyuck Jun, “Markov blanket feature selection for classification”, Proceedings of KIIE 2014 Fall Conference, Suwon, Korea, November 21-22, 2014.
Junghye Lee, Wonji Lee, Hyeseon Lee and Chi-Hyuck Jun, "Hypertension Occurrence Analysis using a Bayesian Network", Proceedings of KORMS & KIIE 2014 Joint Conference, Busan, Korea, May 16-17, 2014.
Wonji Lee, Junghye Lee, Hyeseon Lee and Chi-Hyuck Jun, "Comparing performance of classification techniques for predicting hypertension complication risk", Proceedings of Korean Statistical Society 2014 Spring Conference, Daejeon, Korea, May 23-24, 2014.
Wonji Lee, Junghye Lee, Hyeseon Lee and Chi-Hyuck Jun, "Risk Prediction of Hypertension Complicates using Classification Techniques", Proceedings of KORMS & KIIE 2014 Joint Conference, Busan, Korea, May 16-17, 2014.
Junghye Lee and Chi-Hyuck Jun, “Classification with discrete and continuous variables via Markov blanket feature selection”, Korea BI Data mining conference, Sokcho, Korea, November 29-30, 2013.
Junghye Lee, Hyeseon Lee and Chi-Hyuck Jun, “Kernel-based Partial Least Squares for Compositional Analysis of Naphtha”, Proceedings of KORMS & KIIE 2013 Joint Conference, Yeosu, Korea, May 24-25, 2013.