HASV: Hadoop-Based NGS Analyzer for Predicting Genomic Structure Variations. - Gunhwan Ko; Jongcheol Yoon; Kyongseok Park (MUSIC, 2013)

Massive OceanColor Data Processing and Analysis System: TuPiX-OC. - Jung-Ho Um; Sunggeun Han; Hyunwoo Kim 003; Kyongseok Park (eScience, 2017)

Study on distributed and parallel non-linear optimization algorithm for ocean color remote sensing data. - Jung-Ho Um; Sunggeun Han; Hyunwoo Kim 003; Kyongseok Park (HPEC, 2017)

A New Efficient Resource Management Framework for Iterative MapReduce Processing in Large-Scale Data Analysis. - Seung-Tae Hong; Kyongseok Park; Chae-Deok Lim; Jae-Woo Chang (IEICE Trans. Inf. Syst., 2017)

SciDFS: An In-Situ Processing System for Scientific Array Data Based on Distributed File System. - Donghyoung Han; Yoon-Min Nam; Min-Soo Kim 002; Kyongseok Park; Sunggeun Han (BigComp, 2018)

Accelerating a cross-correlation score function to search modifications using a single GPU. - Hyunwoo Kim 003; Sunggeun Han; Jung-Ho Um; Kyongseok Park (BMC Bioinform., 2018)

FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling. - Preethika Kasu; Taeuk Kim; Youngjae Kim 001; Jung-Ho Um; Kyongseok Park; Scott Atchley (CoRR, 2018)

DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs. - Donghyoung Han; Yoon-Min Nam; Jihye Lee; Kyongseok Park; Hyunwoo Kim 003; Min-Soo Kim 002 (SIGMOD Conference, 2019)

FTLADS: Object-Logging Based Fault-Tolerant Big Data Transfer System Using Layout Aware Data Scheduling. - Preethika Kasu; Taeuk Kim; Jung-Ho Um; Kyongseok Park; Scott Atchley; Youngjae Kim 001 (IEEE Access, 2019)

Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach. - Yuseon Kim; Kyongseok Park (IEEE Access, 2023)

Accelerated Synchronous Model Parallelism Using Cooperative Process for Training Compute-Intensive Models. - Chanhee Yu; Kyongseok Park (IEEE Access, 2023)

Efficient Training of Large-Scale Neural Networks Using Linear Pipeline Broadcast. - Chanhee Yu; Kyongseok Park (IEEE Access, 2024)

GLNAS: Greedy Layer-wise Network Architecture Search for low cost and fast network generation. - Jiacang Ho; Kyongseok Park; Dae-Ki Kang (Pattern Recognit., 2024)

SRVP: Strong Recollection Video Prediction Model Using Attention-Based Spatiotemporal Correlation Fusion. - Yuseon Kim; Kyongseok Park (CVPR Workshops, 2025)

Pipeline parallelism with reduced network communication for efficient compute-intensive neural network training. - Chanhee Yu; Kyongseok Park (J. Supercomput., 2025)