A Speculative Parallel DFA Membership Test for Multicore, SIMD and Cloud Computing Environments. - Yousun Ko 001; Minyoung Jung; Yo-Sub Han; Bernd Burgstaller (Int. J. Parallel Program., 2014)

Usefulness assessment of polarimetric parameters for line extraction from agricultural areas. - Minyoung Jung; Junho Yeom; Yongil Kim (IGARSS, 2015)

Line-based paddy boundary extraction using the RapidEye satellite image. - Junho Yeom; Minyoung Jung; Yongil Kim (IGARSS, 2015)

Efficient Construction of Simultaneous Deterministic Finite Automata on Multicores Using Rabin Fingerprints. - Minyoung Jung; Bernd Burgstaller; Johann Blieberger (CoRR, 2015)

Parallel Construction of Simultaneous Deterministic Finite Automata on Shared-Memory Multicores. - Minyoung Jung; Jinwoo Park; Johann Blieberger; Bernd Burgstaller (ICPP, 2017)

JParEnt: Parallel entropy decoding for JPEG decompression on heterogeneous multicore architectures. - Wasuwee Sodsong; Minyoung Jung; Jinwoo Park; Bernd Burgstaller (Concurr. Comput. Pract. Exp., 2017)

Comparison of Pre-Event VHR Optical Data and Post-Event PolSAR Data to Investigate Damage Caused by the 2011 Japan Tsunami in Built-Up Areas. - Minyoung Jung; Junho Yeom; Yongil Kim (Remote. Sens., 2018)

Decreased structural connectivity and resting-state brain activity in the lateral occipital cortex is associated with social communication deficits in boys with autism spectrum disorder. - Minyoung Jung; Yiheng Tu; Courtney Amanda Lang; Ana Ortiz; Joel Park; Kristen Jorgenson; Xue-Jun Kong; Jian Kong (NeuroImage, 2019)

Utilizing Multi-modal Emotion Information in Dialogue Strategy Classification. - Jin Yea Jang; Jieun Kim; Minyoung Jung; Hyedong Jung; Saim Shin (ICTC, 2020)

A Performance Comparison among Different Amounts of Context on Deep Learning Based Intent Classification Models. - Minyoung Jung; Jieun Kim; Jin Yea Jang; Hyedong Jung; Saim Shin (ICTC, 2020)

Construction of a machine learning dataset for multiple AI tasks using Korean commercial multimodal video clips. - Saim Shin; Jinyea Jang; Minyoung Jung; Jieun Kim; Yoonyoung Jeong; Hyedong Jung (ICTC, 2020)

fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations. - Hanh Vu; Hyun-Chul Kim 002; Minyoung Jung; Jong-Hwan Lee (NeuroImage, 2020)

BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning. - Jin Yea Jang; San Kim; Minyoung Jung; Saim Shin; Gahgene Gweon (EMNLP (1), 2021)

A Model of Cross-Lingual Knowledge-Grounded Response Generation for Open-Domain Dialogue Systems. - San Kim; Jin Yea Jang; Minyoung Jung; Saim Shin (EMNLP (Findings), 2021)

Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement. - Changhun Lee; Soohyeok Kim; Chiehyeon Lim; Jayun Kim; Yeji Kim; Minyoung Jung (KDD, 2021)

MIND dataset for diet planning and dietary healthcare with machine learning: Dataset creation using combinatorial optimization and controllable generation with domain experts. - Changhun Lee; Soohyeok Kim; Sehwa Jeong; Chiehyeon Lim; Jayun Kim; Yeji Kim; Minyoung Jung (NeurIPS Datasets and Benchmarks, 2021)

Characteristic Comparison of Korean Unstructured Dialogue Corpora by Morphological Analysis. - Seona Moon; Saim Shin; San Kim; Minyoung Jung; Jin Yea Jang (AICAS, 2022)

Liveness Score-Based Regression Neural Networks for Face Anti-Spoofing. - Youngjun Kwak; Minyoung Jung; Hunjae Yoo; Jinho Shin; Changick Kim (ICASSP, 2023)

ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. - Hansol Kim; Youngjun Kwak; Minyoung Jung; Jinho Shin; Youngsung Kim; Changick Kim (ICCV, 2023)

Gesture Classification Based on System's Emotion and Strategy for Korean Dialogue Systems. - Yeongbeom Lim; Jin Yea Jang; San Kim; Saim Shin; Minyoung Jung (ICTC, 2023)

Multi-modal Emotion Recognition Utilizing Korean-English Vision and Language Information Alignment Pre-trained Model. - Jeeyoung Yun; San Kim; Minyoung Jung; Saim Shin; Jin Yea Jang (ICTC, 2023)

Cache Register Sharing Structure for Channel-level Near-memory Processing in NAND Flash Memory. - Hyunwoo Kim; Hyundong Lee; Jongbeom Kim; Yunjeong Go; Seungwon Baek; Jaehong Song; Junhyeon Kim; Minyoung Jung; Hyodong Kim; Seongju Kim; Taigon Song (ISQED, 2023)

Enhancing Remote Sensing Image Super-Resolution Guided by Bicubic-Downsampled Low-Resolution Image. - Minkyung Chung; Minyoung Jung; Yongil Kim (Remote. Sens., 2023)

A Scalable Method to Improve Large-Scale Lidar Topographic Differencing Results. - Minyoung Jung; Jinha Jung (Remote. Sens., 2023)

Prediction of autism spectrum disorder using epigenetic, brain, and sensory behavioral factors. - Yong Jeon Cheong; Jihyun Bae; Seonkyoung Lee; Ro Ji Hyeong; Hirotaka Kosaka; Ilwoo Lyu; Minyoung Jung (BCI, 2024)

A Korean Multimodal Dialogue System Across Multiple User Interfaces. - Yeongbeom Lim; Jin Yea Jang; San Kim; Byunggill Joe; Saim Shin; Minyoung Jung (ICTC, 2024)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning. - Sunyoung Jung; Yoonseok Choi; Mohammed A. Al-masni; Minyoung Jung; Donghyun Kim 008 (MICCAI (9), 2024)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning. - Sunyoung Jung; Yoonseok Choi; Mohammed A. Al-masni; Minyoung Jung; Dong-Hyun Kim (CoRR, 2024)

FedDAR: Federated Learning With Data-Quantity Aware Regularization for Heterogeneous Distributed Data. - Youngjun Kwak; Minyoung Jung (IEEE Access, 2025)