Distributed self-organized cluster-based fusion tree generation algorithm. - Kyuoke Yeun; Tae Joon Jun; Daeyoung Kim 001 (CoDIT, 2016)

GPU based cloud system for high-performance arrhythmia detection with parallel k-NN algorithm. - Tae Joon Jun; Hyun Ji Park; Hyuk Yoo; Young-Hak Kim; Daeyoung Kim 001 (EMBC, 2016)

A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder. - Hoang Minh Nguyen 001; Sungpil Woo; Janggwan Im; Tae Joon Jun; Daeyoung Kim 001 (HPCC/SmartCity/DSS, 2016)

Premature Ventricular Contraction Beat Detection with Deep Neural Networks. - Tae Joon Jun; Hyun Ji Park; Hoang Minh Nguyen 001; Daeyoung Kim 001; Young-Hak Kim (ICMLA, 2016)

ConVGPU: GPU Management Middleware in Container Based Virtualized Environment. - Daeyoun Kang; Tae Joon Jun; Dohyeun Kim; Jaewook Kim; Daeyoung Kim 001 (CLUSTER, 2017)

Thin-Cap Fibroatheroma Detection with Deep Neural Networks. - Tae Joon Jun; Soo-Jin Kang; June-Goo Lee; Jihoon Kweon; Wonjun Na; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001; Young-Hak Kim (ICONIP (4), 2017)

HPC Supported Mission-Critical Cloud Architecture. - Tae Joon Jun; Myong Hwan Yoo; Daeyoung Kim 001; Kyu Tae Cho; Seung Young Lee; Kyuoke Yeun (ICPE, 2017)

2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input. - Tae Joon Jun; Dohyeun Kim; Hoang Minh Nguyen 001; Daeyoung Kim 001; Youngsub Eom (BMVC, 2018)

A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis. - Hoang Minh Nguyen 001; Gaurav Kalra; Tae Joon Jun; Daeyoung Kim 001 (ICANN (2), 2018)

GPU Enabled Serverless Computing Framework. - Tae Joon Jun; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001 (PDP, 2018)

ECG arrhythmia classification using a 2-D convolutional neural network. - Tae Joon Jun; Hoang Minh Nguyen 001; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001; Young-Hak Kim (CoRR, 2018)

Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images. - Tae Joon Jun; Dohyeun Kim; Daeyoung Kim 001 (CoRR, 2018)

Tournament Based Ranking CNN for the Cataract grading. - Dohyeun Kim; Tae Joon Jun; Daeyoung Kim 001; Youngsub Eom (CoRR, 2018)

Tournament Based Ranking CNN for the Cataract grading. - Dohyeun Kim; Tae Joon Jun; Youngsub Eom; Cherry Kim; Daeyoung Kim 001 (EMBC, 2019)

Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data. - Hyunseob Kim; Tae Joon Jun; Giang Nguyen 004; Daeyoung Kim 001 (ICONIP (1), 2019)

Enhancing Trust of Supply Chain Using Blockchain Platform with Robust Data Model and Verification Mechanisms. - Byungsoo Oh; Tae Joon Jun; WonDeuk Yoon; Yunho Lee; Sangtae Kim; Daeyoung Kim 001 (SMC, 2019)

T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography. - Tae Joon Jun; Jihoon Kweon; Young-Hak Kim; Daeyoung Kim 001 (CoRR, 2019)

TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. - Tae Joon Jun; Youngsub Eom; Dohyeun Kim; Cherry Kim; Ji-Hye Park; Hoang Minh Nguyen 001; Daeyoung Kim 001 (CoRR, 2019)

ContCap: A comprehensive framework for continual image captioning. - Giang Nguyen 004; Tae Joon Jun; Trung Tran; Daeyoung Kim 001 (CoRR, 2019)

Automated detection of vulnerable plaque in intravascular ultrasound images. - Tae Joon Jun; Soo-Jin Kang; June-Goo Lee; Jihoon Kweon; Wonjun Na; Daeyoun Kang; Dohyeun Kim; Daeyoung Kim 001; Young-Hak Kim (Medical Biol. Eng. Comput., 2019)

ESNemble: an Echo State Network-based ensemble for workload prediction and resource allocation of Web applications in the cloud. - Hoang Minh Nguyen 001; Gaurav Kalra; Tae Joon Jun; Sungpil Woo; Daeyoung Kim 001 (J. Supercomput., 2019)

Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding. - Thao Do; Yalew Tolcha; Tae Joon Jun; Daeyoung Kim 001 (ICPR, 2020)

Explaining How Deep Neural Networks Forget by Deep Visualization. - Giang Nguyen 004; Shuan Chen; Tae Joon Jun; Daeyoung Kim 001 (ICPR Workshops (3), 2020)

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation. - Seung Ju Cho; Tae Joon Jun; Byungsoo Oh; Daeyoung Kim 001 (IJCNN, 2020)

Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization. - Giang Nguyen 004; Shuan Chen; Thao Do; Tae Joon Jun; Ho-Jin Choi; Daeyoung Kim 001 (CoRR, 2020)

Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder. - Hyungrok Ham; Tae Joon Jun; Daeyoung Kim 001 (CoRR, 2020)

Applying Tensor Decomposition to image for Robustness against Adversarial Attack. - Seung Ju Cho; Tae Joon Jun; Mingu Kang; Daeyoung Kim 001 (CoRR, 2020)

Chaotic Time Series Prediction Using a Novel Echo State Network Model with Input Reconstruction, Bayesian Ridge Regression and Independent Component Analysis. - Hoang Minh Nguyen 001; Gaurav Kalra; Tae Joon Jun; Daeyoung Kim 001 (Int. J. Pattern Recognit. Artif. Intell., 2020)

T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography. - Tae Joon Jun; Jihoon Kweon; Young-Hak Kim; Daeyoung Kim 001 (Neural Networks, 2020)

xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias. - Jungsun Yoo; Tae Joon Jun; Young-Hak Kim (Comput. Methods Programs Biomed., 2021)

TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes. - Tae Joon Jun; Youngsub Eom; Dohyeun Kim; Cherry Kim; Ji-Hye Park; Hoang Minh Nguyen 001; Young-Hak Kim; Daeyoung Kim 001 (Expert Syst. Appl., 2021)

CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases. - Imjin Ahn; Wonjun Na; OSung Kwon; Dong Hyun Yang; Gyung-Min Park; Hansle Gwon; Hee-Jun Kang; Yeon Uk Jeong; Jungsun Yoo; Yunha Kim; Tae Joon Jun; Young-Hak Kim (BMC Medical Informatics Decis. Mak., 2021)

RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources. - Yunha Kim; Imjin Ahn; Ha Na Cho; Hansle Gwon; Hee-Jun Kang; Hyeram Seo; Heejung Choi; Kyu-Pyo Kim; Tae Joon Jun; Young-Hak Kim (Comput. Methods Programs Biomed., 2022)

NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization. - Imjin Ahn; Hansle Gwon; Young-Hak Kim; Tae Joon Jun; Sanghyun Park (CoRR, 2024)

InMD-X: Large Language Models for Internal Medicine Doctors. - Hansle Gwon; Imjin Ahn; Hyoje Jung; Byeolhee Kim; Young-Hak Kim; Tae Joon Jun (CoRR, 2024)

Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients. - Hyoje Jung; Yunha Kim; Heejung Choi; Hyeram Seo; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Soyoung Ko; Byeolhee Kim; Suyeon Kim; Tae Joon Jun; et al. (CoRR, 2024)

Multi-Response Preference Optimization with Augmented Ranking Dataset. - Hansle Gwon; Imjin Ahn; Young-Hak Kim; Sanghyun Park; Tae Joon Jun (CoRR, 2024)

Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation. - Minkyoung Kim; Yunha Kim; Hyeram Seo; Heejung Choi; JiYe Han; Gaeun Kee; Soyoung Ko; Hyoje Jung; Byeolhee Kim; Young-Hak Kim; Sanghyun Park; Tae Joon Jun (CoRR, 2024)

LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis. - Hansle Gwon; Imjin Ahn; Yunha Kim; Hee-Jun Kang; Hyeram Seo; Heejung Choi; Ha Na Cho; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Kye Hwa Lee; et al. (Comput. Biol. Medicine, 2024)

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation. - Ha Na Cho; Imjin Ahn; Hansle Gwon; Hee-Jun Kang; Yunha Kim; Hyeram Seo; Heejung Choi; Minkyoung Kim; JiYe Han; Gaeun Kee; Seohyun Park; Tae Joon Jun; et al. (BMC Medical Informatics Decis. Mak., 2024)

Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns. - Minkyoung Kim; Yunha Kim; Hee-Jun Kang; Hyeram Seo; Heejung Choi; JiYe Han; Gaeun Kee; Soyoung Ko; Hyoje Jung; Byeolhee Kim; Boeun Choi; Tae Joon Jun; et al. (BMC Medical Informatics Decis. Mak., 2025)