Efficient computations of link-based similarity measures on the GPU. - Yong-Yeon Jo; Duck-Ho Bae; Sang-Wook Kim (IC-NIDC, 2012)

GPU-based matrix multiplication methods for social networks analysis. - Yong-Yeon Jo; Sang-Wook Kim; Duck-Ho Bae (RACS, 2014)

Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis. - Yong-Yeon Jo; Sang-Wook Kim; Duck-Ho Bae (CIKM, 2015)

On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach. - Yong-Yeon Jo; Sungwoo Cho; Sang-Wook Kim; Duck-Ho Bae; Hyunok Oh (SAC, 2015)

Data mining in intelligent SSD: Simulation-based evaluation. - Yong-Yeon Jo; Sang-Wook Kim; Moonjun Chung; Hyunok Oh (BigComp, 2016)

Data Locality in Graph Engines: Implications and Preliminary Experimental Results. - Yong-Yeon Jo; Jiwon Hong; Myung-Hwan Jang; Jae-Geun Bang; Sang-Wook Kim (CIKM, 2016)

Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU. - Yong-Yeon Jo; Sungwoo Cho; Sang-Wook Kim; Hyunok Oh (SAC, 2016)

Intelligent SSD: A turbo for big data mining. - Duck-Ho Bae; Jin-Hyung Kim; Yong-Yeon Jo; Sang-Wook Kim; Hyunok Oh; Chanik Park (Comput. Sci. Inf. Syst., 2016)

The uFLIP benchmark revisited for evaluating SSDs. - Yoonsuk Kang; Yong-Yeon Jo; Jaehyuk Cha; Sang-Wook Kim; Youngkyun Shin (Int. J. Commun. Syst., 2016)

A Framework for Estimating Execution Times of IO Traces on SSDs. - Yoonsuk Kang; Yong-Yeon Jo; Jaehyuk Cha; Wan D. Bae; Sang-Wook Kim (CIKM, 2017)

Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine. - Yong-Yeon Jo; Kyuhwan Lee; Myung-Hwan Jang; Sang-Wook Kim; Eunjee Song (SMC, 2017)

High-performance data mining with intelligent SSD. - Yong-Yeon Jo; Sang-Wook Kim; Sungwoo Cho; Duck-Ho Bae; Hyunok Oh (Clust. Comput., 2017)

A High-Performance Graph Engine for Efficient Social Network Analysis. - Yong-Yeon Jo; Myung-Hwan Jang; Hyungsoo Jung 001; Sang-Wook Kim (WWW (Companion Volume), 2018)

RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. - Yong-Yeon Jo; Myung-Hwan Jang; Sang-Wook Kim; Sunju Park (WWW, 2019)

Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. - Jeongmyung Lee; Seokwon Kang; Yongseung Yu; Yong-Yeon Jo; Sang-Wook Kim; Yongjun Park 001 (ICDE, 2020)

Efficient processing of recommendation algorithms on a single-machine-based graph engine. - Yong-Yeon Jo; Myung-Hwan Jang; Sang-Wook Kim; Kyungsik Han (J. Supercomput., 2020)

ECGT2T: Electrocardiogram synthesis from Two asynchronous leads to Ten leads. - Yong-Yeon Jo; Joon-Myoung Kwon (CoRR, 2021)

RealGraph-Web: A Graph Analysis Platform on the Web. - Myung-Hwan Jang; Yong-Yeon Jo; Sang-Wook Kim (Proc. VLDB Endow., 2021)

${ sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD. - Yoonsuk Kang; Yong-Yeon Jo; Jaehyuk Cha; Wan D. Bae; Wonjun Lee 001; Sang-Wook Kim (IEEE Trans. Computers, 2021)

On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data. - Byeong Tak Lee; Yong-Yeon Jo; Joon-Myoung Kwon (AMLTS, 2022)

Efficient Data Augmentation Policy for Electrocardiograms. - ByeongTak Lee; Yong-Yeon Jo; Seon-Yu Lim; Youngjae Song; Joon-Myoung Kwon (CIKM, 2022)

A Data Layout With Good Data Locality for Single-Machine Based Graph Engines. - Yong-Yeon Jo; Myung-Hwan Jang; Sang-Wook Kim; Sunju Park (IEEE Trans. Computers, 2022)

ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads. - Yong-Yeon Jo; Young Sang Choi; Jong-Hwan Jang; Joon-Myoung Kwon (ICASSP, 2023)

Optimizing Neural Network Scale for ECG Classification. - Byeong Tak Lee; Yong-Yeon Jo; Joon-Myoung Kwon (CoRR, 2023)

Foundation Models for Electrocardiograms. - Junho Song; Jong-Hwan Jang; Byeong Tak Lee; Dong-gyun Hong; Joon-Myoung Kwon; Yong-Yeon Jo (CoRR, 2024)

TADA: Temporal Adversarial Data Augmentation for Time Series Data. - Byeong Tak Lee; Joon-Myoung Kwon; Yong-Yeon Jo (CoRR, 2024)

New Test-Time Scenario for Biosignal: Concept and Its Approach. - Yong-Yeon Jo; Byeong Tak Lee; Beom Joon Kim; Jeong-Ho Hong; Hak Seung Lee; Joon-Myoung Kwon (CoRR, 2024)

Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals. - Yong-Yeon Jo; Byeong Tak Lee; Jeong-Ho Hong; Hak Seung Lee; Joon-Myoung Kwon; Beom Joon Kim (CHIL, 2025)

Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models. - JaeHo Park; TaeJun Park; Joon-myoung Kwon; Yong-Yeon Jo (CHIL, 2025)

Electrocardiographic-Driven artificial intelligence Model: A new approach to predicting One-Year mortality in heart failure with reduced ejection fraction patients. - Hak Seung Lee; Ga In Han; Kyung-Hee Kim; Sora Kang; Jong-Hwan Jang; Yong-Yeon Jo; Jeong Min Son; Min Sung Lee; Joon-Myoung Kwon; Byung-Hee Oh (Int. J. Medical Informatics, 2025)

ALFRED: Ask a Large-language model For Reliable ECG Diagnosis. - Jin Yu; JaeHo Park; TaeJun Park; Gyurin Kim; JiHyun Lee; Min Sung Lee; Joon-myoung Kwon; Jeong Min Son; Yong-Yeon Jo (CoRR, 2025)