Retrospective Evaluation of the Prescribing Behavior of Residents with respect to Nephrotoxic Drugs. - Jieun Choi; Young-Ho Lee; Un-Gu Kang; Ga Eul Cha; Young Jun Seo; Kyung Jin Lee; Rae Woong Park (AMIA, 2006)

An Architectural Framework for an Adverse Drug Event Surveillance System. - Young-Ho Lee; Jieun Choi; Ga Eul Cha; Kyung Jin Lee; Hee Joung Hwang; Byung-Mun Lee; Rae Woong Park (AMIA, 2006)

An Adaptive Cell Search and Integral Frequency Offset Estimation in Mobile WiMAX. - Jieun Choi; Minjae Park 002; Suhyun Cha; Hwang Soo Lee (VTC Spring, 2009)

Auto-scaling method in hybrid cloud for scientific applications. - Younsun Ahn; Jieun Choi; Sol Jeong; Yoonhee Kim (APNOMS, 2014)

Is container-based technology a winner for high performance scientific applications? - Theodora Adufu; Jieun Choi; Yoonhee Kim (APNOMS, 2015)

A Hybrid Prediction Model Integrating FCM Clustering Algorithm with Supervised Learning. - Seokhwan Yang; Jieun Choi; Sanghoon Bae; Mokdong Chung (CSA/CUTE, 2015)

A Job Dispatch Optimization Method on Cluster and Cloud for Large-Scale High-Throughput Computing Service. - Jieun Choi; Seoyoung Kim 001; Theodora Adufu; Soonwook Hwang; Yoonhee Kim (ICCAC, 2015)

VM auto-scaling methods for high throughput computing on hybrid infrastructure. - Jieun Choi; Younsun Ahn; Seoyoung Kim 001; Yoonhee Kim; Jaeyoung Choi (Clust. Comput., 2015)

A SLA-based Spark cluster scaling method in cloud environment. - Yoori Oh; Jieun Choi; Eunjung Song; Moonji Kim; Yoonhee Kim (APNOMS, 2016)

An Adaptive Resource Provisioning Method Using Job History Learning Technique in Hybrid Infrastructure. - Jieun Choi; Yoonhee Kim (FAS*W@SASO/ICCAC, 2016)

Adaptive application-aware job scheduling optimization strategy in heterogeneous infrastructures. - Seoyoung Kim 001; Jieun Choi; Yoonhee Kim (Clust. Comput., 2016)

Influence of SNS User Innovativeness and Public Individuation on SNS Usage Patterns and Social Capital Development: The Case of Facebook. - Jieun Choi; Hyun Jung Kim (Int. J. Hum. Comput. Interact., 2016)

iSDF: An integrated software-defined computing framework for scientific experiments. - Seoyoung Kim 001; Julim Ahn; Heewon Kim; Yoonhee Kim; Jieun Choi (APNOMS, 2017)

Adaptive resource provisioning method using application-aware machine learning based on job history in heterogeneous infrastructures. - Jieun Choi; Yoonhee Kim (Clust. Comput., 2017)

Data-Locality Aware Scientific Workflow Scheduling Methods in HPC Cloud Environments. - Jieun Choi; Theodora Adufu; Yoonhee Kim (Int. J. Parallel Program., 2017)

Efficient Classification of Application Characteristics by Using Hardware Performance Counters with Data Mining. - Jieun Choi; Geunchul Park; Dukyun Nam (FAS*W@SASO/ICAC, 2018)

Performance Analysis of Various Multi-and Many-Core Systems Centered on Memory. - Seungwoo Rho; Jieun Choi; Geunchul Park; Chan-Yeol Park (FAS*W@SASO/ICAC, 2019)

TEMPEST Comeback: A Realistic Audio Eavesdropping Threat on Mixed-signal SoCs. - Jieun Choi; Hae-Yong Yang; Dong-Ho Cho (CCS, 2020)

Interference-aware co-scheduling method based on classification of application characteristics from hardware performance counter using data mining. - Jieun Choi; Geunchul Park; Dukyun Nam (Clust. Comput., 2020)

Development of benchmark automation suite and evaluation of various high-performance computing systems. - Seungwoo Rho; Geunchul Park; Jieun Choi; Chan-Yeol Park (Clust. Comput., 2021)

Learning to increase matching efficiency in identifying additional b-jets in the tt̅b̅ process. - Cheongjae Jang; Sang-Kyun Ko; Yung-Kyun Noh; Jieun Choi; Jongwon Lim; Tae-Jeong Kim (CoRR, 2021)

Empirical Study on the GPU-accelerated HPL Performance: Effects of PCIe Communication. - Jieun Choi; Yosang Jeong; Ji Hoon Kang 002; Gibeom Gu; Hoon Ryu (CLUSTER, 2022)

Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator. - Jaesung Yoo; Sunghyuk Choi; Ye Seul Yang; Suhyeon Kim; Jieun Choi; Dongkyeong Lim; Yaeji Lim; Hyung Joon Joo; Dae Jung Kim; Rae Woong Park; Hyeong-Jin Yoon; Kwangsoo Kim (CoRR, 2022)

Participatory Design of an AI Digital Textbook with Deaf and Hard-of-Hearing Students. - Ga Young Lee; Jieun Choi; Seonhee Na; Hyo-Jeong So (ICCE, 2024)

A survey on integration of large language models with intelligent robots. - Yeseung Kim; Dohyun Kim; Jieun Choi; Jisang Park 003; Nayoung Oh; Daehyung Park (Intell. Serv. Robotics, 2024)

Accurate prediction of protein-ligand interactions by combining physical energy functions and graph-neural networks. - Yiyu Hong; Junsu Ha; Jaemin Sim; Chae Jo Lim; Kwang-Seok Oh; Ramakrishnan Chandrasekaran; Bomin Kim; Jieun Choi; Junsu Ko; Woong-Hee Shin; Juyong Lee (J. Cheminformatics, 2024)

PAISE: PIM-Accelerated Inference Scheduling Engine for Transformer-based LLM. - Hyojung Lee; Daehyeon Baek; Jimyoung Son; Jieun Choi; Kihyo Moon; Minsung Jang (HPCA, 2025)

Review learning: Real world validation of privacy preserving continual learning across medical institutions. - Jaesung Yoo; Sunghyuk Choi; Ye Seul Yang; Suhyeon Kim; Jieun Choi; Dongkyeong Lim; Yaeji Lim; Hyung Joon Joo; Dae Jung Kim; Rae Woong Park; Hyung-Jin Yoon; Kwangsoo Kim (Comput. Biol. Medicine, 2025)

MGHanD: Multi-modal Guidance for authentic Hand Diffusion. - Taehyeon Eum; Jieun Choi; Tae-Kyun Kim 001 (CoRR, 2025)

FireQ: Fast INT4-FP8 Kernel and RoPE-aware Quantization for LLM Inference Acceleration. - Daehyeon Baek; Jieun Choi; Jimyoung Son; Kyungmin Bin; Seungbeom Choi; Kihyo Moon; Minsung Jang; Hyojung Lee (CoRR, 2025)