Yong-Yeon Jo

Orcid: 0000-0002-6755-6850

According to our database1, Yong-Yeon Jo authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data.
CoRR, 2024

Foundation Models for Electrocardiograms.
CoRR, 2024

2023
Optimizing Neural Network Scale for ECG Classification.
CoRR, 2023

ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Data Layout With Good Data Locality for Single-Machine Based Graph Engines.
IEEE Trans. Computers, 2022

Efficient Data Augmentation Policy for Electrocardiograms.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data.
Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021
${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD.
IEEE Trans. Computers, 2021

RealGraph-Web: A Graph Analysis Platform on the Web.
Proc. VLDB Endow., 2021

ECGT2T: Electrocardiogram synthesis from Two asynchronous leads to Ten leads.
CoRR, 2021

2020
Efficient processing of recommendation algorithms on a single-machine-based graph engine.
J. Supercomput., 2020

Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs.
Proceedings of the World Wide Web Conference, 2019

2018
A High-Performance Graph Engine for Efficient Social Network Analysis.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017
High-performance data mining with intelligent SSD.
Clust. Comput., 2017

Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A Framework for Estimating Execution Times of IO Traces on SSDs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
The uFLIP benchmark revisited for evaluating SSDs.
Int. J. Commun. Syst., 2016

Intelligent SSD: A turbo for big data mining.
Comput. Sci. Inf. Syst., 2016

Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Data Locality in Graph Engines: Implications and Preliminary Experimental Results.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Data mining in intelligent SSD: Simulation-based evaluation.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

2015
On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
GPU-based matrix multiplication methods for social networks analysis.
Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, 2014

2012
Efficient computations of link-based similarity measures on the GPU.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012


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