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2020 – today
- 2024
[i4]Junho Song, Jong-Hwan Jang, Byeong Tak Lee, Dong-gyun Hong, Joon-Myoung Kwon, Yong-Yeon Jo:
Foundation Models for Electrocardiograms. CoRR abs/2407.07110 (2024)- [i3]Byeong Tak Lee, Joon-Myoung Kwon, Yong-Yeon Jo:
TADA: Temporal Adversarial Data Augmentation for Time Series Data. CoRR abs/2407.15174 (2024) - 2023
- [c15]Yong-Yeon Jo, Young Sang Choi, Jong-Hwan Jang, Joon-Myoung Kwon:
ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads. ICASSP 2023: 1-5 - [i2]Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon:
Optimizing Neural Network Scale for ECG Classification. CoRR abs/2308.12492 (2023) - 2022
- [j7]Yong-Yeon Jo
, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park:
A Data Layout With Good Data Locality for Single-Machine Based Graph Engines. IEEE Trans. Computers 71(8): 1784-1793 (2022) - [c14]Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon:
On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data. AMLTS 2022 - [c13]ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon:
Efficient Data Augmentation Policy for Electrocardiograms. CIKM 2022: 4153-4157 - 2021
- [j6]Myung-Hwan Jang, Yong-Yeon Jo, Sang-Wook Kim:
RealGraph-Web: A Graph Analysis Platform on the Web. Proc. VLDB Endow. 14(12): 2775-2778 (2021) - [j5]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Wonjun Lee, Sang-Wook Kim:
${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD. IEEE Trans. Computers 70(12): 2146-2160 (2021) - [i1]Yong-Yeon Jo, Joon-Myoung Kwon:
ECGT2T: Electrocardiogram synthesis from Two asynchronous leads to Ten leads. CoRR abs/2103.00006 (2021) - 2020
- [j4]Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Kyungsik Han:
Efficient processing of recommendation algorithms on a single-machine-based graph engine. J. Supercomput. 76(10): 7985-8002 (2020) - [c12]Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park:
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE 2020: 925-936
2010 – 2019
- 2019
- [c11]Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park:
RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. WWW 2019: 807-817 - 2018
- [c10]Yong-Yeon Jo, Myung-Hwan Jang, Hyungsoo Jung, Sang-Wook Kim:
A High-Performance Graph Engine for Efficient Social Network Analysis. WWW (Companion Volume) 2018: 61-62 - 2017
- [j3]Yong-Yeon Jo, Sang-Wook Kim, Sungwoo Cho, Duck-Ho Bae, Hyunok Oh:
High-performance data mining with intelligent SSD. Clust. Comput. 20(2): 1155-1166 (2017) - [c9]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Sang-Wook Kim:
A Framework for Estimating Execution Times of IO Traces on SSDs. CIKM 2017: 2123-2126 - [c8]Yong-Yeon Jo, Kyuhwan Lee, Myung-Hwan Jang, Sang-Wook Kim, Eunjee Song:
Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine. SMC 2017: 1908-1913 - 2016
- [j2]Duck-Ho Bae, Jin-Hyung Kim, Yong-Yeon Jo, Sang-Wook Kim, Hyunok Oh, Chanik Park:
Intelligent SSD: A turbo for big data mining. Comput. Sci. Inf. Syst. 13(2): 375-394 (2016) - [j1]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Sang-Wook Kim, Youngkyun Shin:
The uFLIP benchmark revisited for evaluating SSDs. Int. J. Commun. Syst. 29(14): 2100-2111 (2016) - [c7]Yong-Yeon Jo, Sang-Wook Kim, Moonjun Chung, Hyunok Oh:
Data mining in intelligent SSD: Simulation-based evaluation. BigComp 2016: 123-128 - [c6]Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang, Sang-Wook Kim:
Data Locality in Graph Engines: Implications and Preliminary Experimental Results. CIKM 2016: 1885-1888 - [c5]Yong-Yeon Jo, Sungwoo Cho, Sang-Wook Kim, Hyunok Oh:
Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU. SAC 2016: 1865-1870 - 2015
- [c4]Yong-Yeon Jo, Sang-Wook Kim, Duck-Ho Bae:
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis. CIKM 2015: 1261-1270 - [c3]Yong-Yeon Jo, Sungwoo Cho, Sang-Wook Kim, Duck-Ho Bae, Hyunok Oh:
On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach. SAC 2015: 2060-2065 - 2014
- [c2]Yong-Yeon Jo, Sang-Wook Kim, Duck-Ho Bae:
GPU-based matrix multiplication methods for social networks analysis. RACS 2014: 309-313 - 2012
- [c1]Yong-Yeon Jo, Duck-Ho Bae, Sang-Wook Kim:
Efficient computations of link-based similarity measures on the GPU. IC-NIDC 2012: 261-265
Coauthor Index
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