Performance Prediction of Sparse Matrix Multiplication on a Distributed BigData Processing Environment. - Jueon Park; Kyungyong Lee (ACSOS Companion, 2020)

Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Comput. Archit. Lett., 2021)

Measurement of Vibration Occurring at Multiple Frequencies Using Target-Less Photogrammetry and Phase-Based Motion Magnification. - Aisha Javed; Jueon Park; Hyeongill Lee; Youkyung Han (IGARSS, 2022)

Building Impact Analysis for Very-High-Resolution Image Co-Registration. - Jueon Park; Taeheon Kim; Aisha Javed; Changhui Lee; Youkyung Han (IGARSS, 2022)

AEDLE: Designing Drama Therapy Interface for Improving Pragmatic Language Skills of Children with Autism Spectrum Disorder Using AR. - Jungin Park; Gahyeon Bae; Jueon Park; Seo Kyoung Park; Yeon Soo Kim; Sangsu Lee (CHI Extended Abstracts, 2023)

Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique. - Seungwon Choi; Byeongjoon Kim; Chulkyu Park; Jueon Park; Yousuk Kim; Sungil Choi; Jongduk Baek (IEEE Access, 2023)

ArkDTA: attention regularization guided by non-covalent interactions for explainable drug-target binding affinity prediction. - Mogan Gim; Junseok Choe; Seungheun Baek; Jueon Park; Chaeeun Lee; Minjae Ju; Sumin Lee; Jaewoo Kang (Bioinform., 2023)

XLA-NDP: Efficient Scheduling and Code Generation for Deep Learning Model Training on Near-Data Processing Memory. - Jueon Park; Hyojin Sung (IEEE Comput. Archit. Lett., 2023)

S-MPEC: Sparse Matrix Multiplication Performance Estimator on a Cloud Environment. - Jueon Park; Kyungyong Lee (Clust. Comput., 2023)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Access, 2024)

MolPLA: a molecular pretraining framework for learning cores, R-groups and their linker joints. - Mogan Gim; Jueon Park; Soyon Park; Sanghoon Lee; Seungheun Baek; Junhyun Lee; Ngoc-Quang Nguyen; Jaewoo Kang (Bioinform., 2024)

Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement. - Seungheun Baek; Soyon Park; Yan Ting Chok; Junhyun Lee; Jueon Park; Mogan Gim; Jaewoo Kang (AAAI, 2025)

CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction. - Jueon Park; Yein Park; Minju Song; Soyon Park; Donghyeon Lee; Seungheun Baek; Jaewoo Kang (CoRR, 2025)