A dynamic network of transcription in LPS-treated human subjects. - Junhee Seok; Wenzhong Xiao; Lyle L. Moldawer; Ronald W. Davis; Markus W. Covert (BMC Syst. Biol., 2009)

Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships. - Junhee Seok; Amit Kaushal; Ronald W. Davis; Wenzhong Xiao (BMC Bioinform., 2010)

JETTA: junction and exon toolkits for transcriptome analysis. - Junhee Seok; Weihong Xu; Hong Gao; Ronald W. Davis; Wenzhong Xiao (Bioinform., 2012)

Prediction of information propagation in a drone network by using machine learning. - Jinsoo Park; Yoojoong Kim; Junhee Seok (ICTC, 2016)

Information propagation modeling in a drone network using disease epidemic models. - Yoojoong Kim; Jong-Kook Kim; Junhee Seok; Byoung Du Kim (ICUFN, 2016)

A Comparison of Two-Stage Approaches Based on Penalized Regression for Estimating Gene Networks. - Minhyeok Lee; Junhee Seok; Donghyun Tae; Hua Zhong; Sung Won Han (J. Comput. Biol., 2017)

Rank Prediction for Portfolio Management Using Artificial Neural Networks. - Jiyoon Bae; Ghudae Sim; Hyungbin Yun; Junhee Seok (ICUFN, 2018)

Indoor Semantic Segmentation for Robot Navigating on Mobile. - Wonsuk Kim; Junhee Seok (ICUFN, 2018)

GAIT: Gene expression Analysis for Interval Time. - Yoojoong Kim; Yeong Seon Kang; Junhee Seok (Bioinform., 2018)

mEBT: multiple-matching evidence-based translator of murine genomic responses for human immunity studies. - Donghyun Tae; Junhee Seok (Bioinform., 2018)

The Properties of mode prediction using mean root error for regularization. - Ghudae Sim; Hyungbin Yun; Junhee Seok (ICAIIC, 2019)

Stock Prices Prediction using the Title of Newspaper Articles with Korean Natural Language Processing. - Hyungbin Yun; Ghudae Sim; Junhee Seok (ICAIIC, 2019)

Vocabulary Domain Prediction for Pathological Report Analysis Using ICD-O3. - Sunho Choi; Insoo Kim; Yoojoong Kim; Junhee Seok (ICUFN, 2019)

Stock Price Prediction Through the Sentimental Analysis of News Articles. - Jaeyoon Kim; Jangwon Seo; Minhyeok Lee; Junhee Seok (ICUFN, 2019)

Experimental Evaluation of Source Location Privacy Routing Schemes and Energy Consumption Performance. - Lilian Charles Mutalemwa; Junhee Seok; Seokjoo Shin (ISCIT, 2019)

Controllable Generative Adversarial Network. - Minhyeok Lee; Junhee Seok (IEEE Access, 2019)

Prediction of survival risks with adjusted gene expression through risk-gene networks. - Minhyeok Lee; Sung Won Han; Junhee Seok (Bioinform., 2019)

Regression-Based Network Estimation for High-Dimensional Genetic Data. - Kyu Min Lee; Minhyeok Lee; Junhee Seok; Sung Won Han (J. Comput. Biol., 2019)

A Survey of Missing Data Imputation Using Generative Adversarial Networks. - Jaeyoon Kim; Donghyun Tae; Junhee Seok (ICAIIC, 2020)

Long Term Traffic Prediction in Highway Using Parallel CNN. - Donghyun Lim; Minhyeok Lee; Junhee Seok (ICITE, 2020)

Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies. - Minhyeok Lee; Junhee Seok (CoRR, 2020)

Portfolio management via two-stage deep learning with a joint cost. - Hyungbin Yun; Minhyeok Lee; Yeong Seon Kang; Junhee Seok (Expert Syst. Appl., 2020)

Improved recurrent generative adversarial networks with regularization techniques and a controllable framework. - Minhyeok Lee; Donghyun Tae; Jae Hun Choi; Ho-Youl Jung; Junhee Seok (Inf. Sci., 2020)

Keyword Extraction in Economics Literatures using Natural Language Processing. - Soojeong Kim; Sunho Choi; Junhee Seok (ICUFN, 2021)

Estimation with Uncertainty via Conditional Generative Adversarial Networks. - Minhyeok Lee; Junhee Seok (Sensors, 2021)

Computer Code Representation through Natural Language Processing for fMRI Data Analysis. - Jaeyoon Kim; Una-May O'Reilly; Junhee Seok (ICAIIC, 2022)

Privacy-preserving collaborative machine learning in biomedical applications. - Wonsuk Kim; Junhee Seok (ICAIIC, 2022)

Mitigating Coordinate Transformation for Solving Partial Differential Equations with Physic-Informed Neural Networks. - Hyo-Seok Hwang; Suhan Son; Yoojoong Kim; Junhee Seok (ICUFN, 2022)

Multi-label Text Classification of Economic Concepts from Economic News Articles using Natural Language Processing. - Soojeong Kim; Minhyeok Lee; Junhee Seok (ICUFN, 2022)

Deep reinforcement learning with a critic-value-based branch tree for the inverse design of two-dimensional optical devices. - Hyo-Seok Hwang; Minhyeok Lee; Junhee Seok (Appl. Soft Comput., 2022)

Score-Guided Generative Adversarial Networks. - Minhyeok Lee; Junhee Seok (Axioms, 2022)

Inverse design of nanophotonic devices using generative adversarial networks. - Wonsuk Kim; Soojeong Kim; Minhyeok Lee; Junhee Seok (Eng. Appl. Artif. Intell., 2022)

Multi Task Learning: A Survey and Future Directions. - Taeho Lee; Junhee Seok (ICAIIC, 2023)

Credit card default prediction by using Heterogeneous Ensemble. - Wook Lee; Sangmin Lee; Junhee Seok (ICUFN, 2023)

Adversarial Attack of ML-based Intrusion Detection System on In-vehicle System using GAN. - EunSeong Seo; JeongEun Kim; Wook Lee; Junhee Seok (ICUFN, 2023)

Searching similar weather maps using convolutional autoencoder and satellite images. - Heewoong Ahn; Sunhwa Lee; Hanseok Ko; Meejoung Kim; Sung Won Han; Junhee Seok (ICT Express, 2023)

ICEGAN: inverse covariance estimating generative adversarial network. - Insoo Kim; Minhyeok Lee; Junhee Seok (Mach. Learn. Sci. Technol., 2023)

A Multi-Stage Deep Learning Approach Incorporating Text-Image and Image-Image Comparisons for Cheapfake Detection. - Jangwon Seo; Hyo-Seok Hwang; Jiyoung Lee; Minhyeok Lee; Wonsuk Kim; Junhee Seok (ICMR, 2024)

Stabilized GAN models training with kernel-histogram transformation and probability mass function distance. - Jangwon Seo; Hyo-Seok Hwang; Minhyeok Lee; Junhee Seok (Appl. Soft Comput., 2024)

ctGAN: combined transformation of gene expression and survival data with generative adversarial network. - Jaeyoon Kim; Junhee Seok (Briefings Bioinform., 2024)

Adversarial environment design for crowd navigation based on deep reinforcement learning. - Jeongeun Kim; Hyo-Seok Hwang; Junhee Seok (Eng. Appl. Artif. Intell., 2025)

Deriving optimal atomic layer deposition process conditions using machine learning. - Jangwon Seo; Hyo-Seok Hwang; Sunyoung Park; Seungmin Lee; Dae Sin Kim; Sun-Taek Lim; Junhee Seok (J. Ind. Inf. Integr., 2025)

Generative Adversarial Soft Actor-Critic. - Hyo-Seok Hwang; Yoojoong Kim; Junhee Seok (IEEE Trans. Neural Networks Learn. Syst., 2025)