Yong-Yeon Jo 조용연
Managing Director, AI Group, MedicalAI
Deep learning for electrocardiograms and cardiovascular diagnosis
Managing Director of the AI Group at MedicalAI, leading the research and development of artificial-intelligence models for electrocardiogram (ECG) analysis and cardiovascular diagnosis. Ph.D. in Computer Science with a background in large-scale data systems, now focused on deep learning for biosignals — including generative modeling, explainable AI, and test-time adaptation for real-world clinical deployment.
Publications
2012–2026-
Accurate Reconstruction of the Standard 12-Lead ECG from a Single Lead based on Inherent Principles of ECG
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
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Prediction of vasovagal syncope using artificial intelligence-enabled smartwatch photoplethysmography-derived heart rate variability
European Heart Journal - Digital Health
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Can Meta-Learning Address The Challenges of Biosignal Personalization?
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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VCP: Visible Context Propagation for Electrocardiogram Recovery
IEEE Open Journal of Signal Processing
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Transparent and robust Artificial intelligence-driven Electrocardiogram model for Left Ventricular Systolic Dysfunction
Diagnostics, Vol 15. No. 15
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX)
Scientific Reports, Vol 15. No. 1
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Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models
Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287
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Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals
Proceedings of the sixth Conference on Health, Inference, and Learning, PMLR 287
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Unveiling the secrets of neural network scaling for ECG classification
Informatics in Medicine Unlocked, Vol 55.
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AI-Enabled Smartwatch ECG: A Feasibility Study for Early Prediction and Prevention of Heart Failure Rehospitalization
JACC: Basic to Translational Science, In Press, Corrected Proof
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New Test-Time Scenario for Biosignal: Concept and Its Approach
Findings paper presented at Machine Learning for Health (ML4H), arXiv:2411.17785
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AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction
Scientific Reports, Vol 14. No. 1
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Foundation Models for Electrocardiograms
arXiv preprint, arXiv:2407.0711
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TADA: Temporal Adversarial Data Augmentation for Time Series Data
arXiv preprint, arXiv:2407.15174
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Identifying atrial fibrillation with sinus rhythm electrocardiogram in embolic stroke of undetermined source: a validation study with insertable cardiac monitors
Korean Circulation Journal, Vol 53. No. 11
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ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
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Can Knowledge Distillation Really Transfer Inductive Bias?
Proceeding of the Applied Machine Learning Methods for Time Series Forecasting (AMLTS)
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Efficient Data Augmentation Policy for Electrocardiograms
Proceeding of the International Conference on Information and Knowledge Management (ACM CIKM)
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A Data Layout with Good Data Locality for Single-Machine based Graph Engines
IEEE Transactions on Computers, Vol. 71 No. 8
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An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period
International Journal of Cardiology, Vol. 352
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Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG
Diagnostics, Vol. 12 No. 3
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FORESEE: An Effective Efficient Framework for Estimating the Execution Times of IO Traces on the SSD
IEEE Transactions on Computers, Vol 70. No. 12
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Deep learning model for screening sepsis using electrocardiography
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, open access
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RealGraph-Web: A Graph Analysis Platform on the Web
Proceeding of International Conference on Very Large Data Bases (VLDB), Demonstration Track
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Artificial intelligence using electrocardiography: Strengths and pitfalls
European Heart Journal, Vol 42. No 30
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Detection and classification of arrhythmia using an explainable deep learning model
Journal of Electrocardiology, Vol. 67
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Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm
European Heart Journal - Digital Health, Vol 2. No 2.
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Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram
International Journal of Cardiology, Vol. 328
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Impact of image compression on deep learning-based mammogram classification
Scientific Reports, Vol. 11
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Artificial intelligence for detecting electrolyte imbalance using electrocardiography
Annals of Noninvasive Electrocardiology, Vol 26. No. 3
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Prediction of the prolonged length of hospital stay after cancer surgery using the machine learning on electronic health records: Retrospective cross-sectional study
Journal of Medical Internet Research Medical Informatics, Vol. 9 No. 2
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Predicting Intraoperative Hypotension Using Deep Learning with Waveforms of Arterial Blood Pressure, Electroencephalogram, and Electrocardiogram
PlosOne, open access
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Deep learning model for detection of hypoalbuminemia using electrocardiography
Preprints, preprints202101.0408.v1
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Optimization of a GPU-based sparse matrix multiplication for large sparse networks
Proceeding of IEEE International Conference on Data Engineering (IEEE ICDE)
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RealGraph: A graph engine leveraging the power-law distribution of real-world graphs
Proceeding of the World Wide Web (WWW) Conference
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Graph-based recommendation on single-machine based graph engines: a performance study
Proceeding of the International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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Efficient processing of recommendation algorithms on a single-machine-based graph engine
Journal of Supercomputing, Vol. 76
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A high-performance graph engine for efficient social network analysis
Proceeding of the World Wide Web (WWW) Conference
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Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine
Proceeding of the IEEE International Conference on Systems, MAN, and Cybernetics Society (IEEE SMC)
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FORESEE: a framework for effective and efficient estimation of the execution time of an IO trace on the SSD
Proceeding of the International Conference on Information and Knowledge Management (ACM CIKM)
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Efficient processing of alternating least squares on a single machine
Proceeding of the International Conference on Emerging Database (EDB)
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High-performance data mining with intelligent SSD
Journal of Cluster Computing, Vol. 20 No. 2
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Data locality in graph engines: implications and preliminary experimental results
Proceeding of the International Conference on Information and Knowledge Management (ACM CIKM)
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The uFLIP benchmark revisited for evaluating SSDs
Journal of Communication Systems, Vol. 29
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Intelligent SSD: a turbo for big data mining
Computer Science and Information Systems, Vol. 13 No. 2
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Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU
Proceeding of the International Conference on ACM/SIGAPP Symposium on Applied Computing (ACM SAC)
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Data mining in intelligent SSD: simulation-based evaluation
Proceeding of the International Conference on Big Data and Smart Computing (BigComp)
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Efficient sparse matrix multiplication on GPU for large social network analysis
Proceeding of the International Conference on Information and Knowledge Management (ACM CIKM)
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On running data-Intensive algorithms with intelligent SSD and host CPU: a collaborative approach
Proceeding of the International Conference on ACM/SIGAPP Symposium on Applied Computing (ACM SAC)
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GPU-based matrix multiplication methods for social networks analysis
Proceeding of the International Conference on Research in Adaptive and Convergent Systems (ACM RACS)
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Exploiting the uFLIP benchmark for analyzing SSDs performance
Proceeding of the International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC)
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Running data mining algorithms on SSDs
Proceeding of the International Conference on Emerging Databases-Technologies, Applications, and Theory (EDB)
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Efficient computations of link-based similarity measures on the GPU
Proceeding of the IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC)
Experience
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Managing Director, AI Group
2021.03 – PresentMedicalAI · Seoul, Republic of Korea
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Manager, Data R&D Team
2020.09 – 2021.03Lifesemantics · Seoul, Republic of Korea
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Researcher, HealthCare AI Team
2018.03 – 2020.09National Cancer Center · Seoul, Republic of Korea
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Visiting Scholar
2016.08 – 2016.09Baylor University · Texas, United States
Education
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Ph.D., Department of Computer and Software
2013.03 – 2018.02Hanyang University
Advisor: Prof. Sang-Wook Kim
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M.S., Department of Electronics Computer Engineering
2011.03 – 2013.02Hanyang University
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B.S., Department of Computer Engineering
2007.03 – 2011.02Hanyang University
Patents
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PREDICTING SYSTEM CAPABLE OF USING VARIOUS TYPE OF ELECTROCARDIOGRAM DATA BASED ON DEEP LEARNING
2025No. 10-2772939Granted
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Method, Program and Apparatus for Contrastive Pre-training of Neural Network for Electrocardiogram
2025No. 10-2835815Granted
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Apparatus for Generating Electrocardiogram Based on Deep Learning Algorithm
2025No. 10-2772457Granted
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Method, Program and Apparatus for Prediction of Health Status Using Electrocardiogram
2025No. 10-20250158729Filed
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Method, Program and Device for Predicting Disease Based on Neural Network Model
2024No. 10-20250052312Filed
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Electronic Device for Diagnosing User Disease Based on Biological Signal
2023No. 10-20240069647Filed
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Method, Program and Apparatus for Updating Neural Network Model for Electrocardiogram Reading
2023No. 10-20240017321Filed
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XAI System for Diagnosing and Explaining Cardiac Disorder
2023No. 10-2571244Granted
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A FEATURE EXTRACTION APPARATUS AND METHOD FOR PREDICTING THE EXECUTION TIME OF THE QUERY INPUT AND OUTPUT TRACE
2021No. 10-2249832Granted
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System for ECG Reading and method thereof
2021No. 10-20210045108Filed
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MEMORY ALLOCATION METHOD FOR TWO SPARSE MATRIX MULTIPLICATIONS USING A SINGLE MACHINE
2018No. 10-1858593Granted
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GRAPH ENGINE USING MULTI-THREAD AND OPERATING METHOD THEREOF
2018No. 10-1879829Granted
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A SSD PERFORMANCE EVALUATION APPARATUS AND METHOD FOR PREDICTING THE EXECUTION TIME OF THE QUERY INPUT AND OUTPUT TRACE
2016No. 10-2016-0110878Filed
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INPUT/OUTPUT INFORMATION SARER METHOD, STORAGE APPARATUS AND HOST APPARATUS FOR PERFOMRING THE SAME METHOD
2016No. 10-1691286Granted
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PROCESSOR SCHEDULING METHOD FOR THE COOPERATION PROCESSING BETWEEN HOST PROCESSOR AND COOPERATION PROCESSOR AND HOST PROCESSOR FOR PERFORMING THE METHOD
2015No. 10-1558807Granted
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METHOD FOR MULTIPLICATION OF SPARSE MATRIX ON THE GPU
2014No. 10-1400577Granted
Professional Service
Reviewer- 2026AAAI, CIKM, ICASSP, ICLR, IJCAI, KDD, ML4H, NeurIPS, TheWebConf
- 2025CHIL, ICML, IJCAI, IJCNN, KDD, NeurIPS
- 2024AAAI, ICASSP
- 2023ICASSP