Yong-Yeon Jo - RankMe

32 papers A* 2A 4B 1Misc 3Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ALFRED: Ask a Large-language model For Reliable ECG Diagnosis. CoRR Jin Yu, JaeHo Park, Taejun Park, Gyurin Kim, Jihyun Lee, Min Sung Lee, Joon-Myoung Kwon, Jeong Min Son, Yong-Yeon Jo
2025	—	`conf`	Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models. CHIL JaeHo Park, Taejun Park, Joon-Myoung Kwon, Yong-Yeon Jo
2025	J	`jnl`	CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics. CoRR Jong-Hwan Jang, Junho Song, Yong-Yeon Jo
2025	J	`jnl`	Electrocardiographic-Driven artificial intelligence Model: A new approach to predicting One-Year mortality in heart failure with reduced ejection fraction patients. Int. J. Medical Informatics 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
2025	—	`conf`	Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals. CHIL Yong-Yeon Jo, Byeong Tak Lee, Jeong-Ho Hong, Hak Seung Lee, Joon-Myoung Kwon, Beom Joon Kim
2024	J	`jnl`	Foundation Models for Electrocardiograms. CoRR Junho Song, Jong-Hwan Jang, Byeong Tak Lee, Dong-gyun Hong, Joon-Myoung Kwon, Yong-Yeon Jo
2024	J	`jnl`	New Test-Time Scenario for Biosignal: Concept and Its Approach. CoRR Yong-Yeon Jo, Byeong Tak Lee, Beom Joon Kim, Jeong-Ho Hong, Hak Seung Lee, Joon-Myoung Kwon
2024	J	`jnl`	TADA: Temporal Adversarial Data Augmentation for Time Series Data. CoRR Byeong Tak Lee, Joon-Myoung Kwon, Yong-Yeon Jo
2023	Misc	`conf`	ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads. ICASSP Yong-Yeon Jo, Young Sang Choi, Jong-Hwan Jang, Joon-Myoung Kwon
2023	J	`jnl`	Optimizing Neural Network Scale for ECG Classification. CoRR Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon
2022	J	`jnl`	A Data Layout With Good Data Locality for Single-Machine Based Graph Engines. IEEE Trans. Computers Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park
2022	A	`conf`	Efficient Data Augmentation Policy for Electrocardiograms. CIKM ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon
2022	—	`conf`	On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data. AMLTS Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon
2021	J	`jnl`	${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD. IEEE Trans. Computers Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Wonjun Lee, Sang-Wook Kim
2021	J	`jnl`	ECGT2T: Electrocardiogram synthesis from Two asynchronous leads to Ten leads. CoRR Yong-Yeon Jo, Joon-Myoung Kwon
2021	J	`jnl`	RealGraph-Web: A Graph Analysis Platform on the Web. Proc. VLDB Endow. Myung-Hwan Jang, Yong-Yeon Jo, Sang-Wook Kim
2020	J	`jnl`	Efficient processing of recommendation algorithms on a single-machine-based graph engine. J. Supercomput. Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Kyungsik Han
2020	A*	`conf`	Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. ICDE Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park
2019	A*	`conf`	RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs. WWW Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, Sunju Park
2018	—	`conf`	A High-Performance Graph Engine for Efficient Social Network Analysis. WWW (Companion Volume) Yong-Yeon Jo, Myung-Hwan Jang, Hyungsoo Jung, Sang-Wook Kim
2017	A	`conf`	A Framework for Estimating Execution Times of IO Traces on SSDs. CIKM Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Sang-Wook Kim
2017	B	`conf`	Efficient processing of large-scale sparse matrix-matrix multiplications on a single machine. SMC Yong-Yeon Jo, Kyuhwan Lee, Myung-Hwan Jang, Sang-Wook Kim, Eunjee Song
2017	J	`jnl`	High-performance data mining with intelligent SSD. Clust. Comput. Yong-Yeon Jo, Sang-Wook Kim, Sungwoo Cho, Duck-Ho Bae, Hyunok Oh
2016	Misc	`conf`	Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU. SAC Yong-Yeon Jo, Sungwoo Cho, Sang-Wook Kim, Hyunok Oh
2016	A	`conf`	Data Locality in Graph Engines: Implications and Preliminary Experimental Results. CIKM Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang, Sang-Wook Kim
2016	—	`conf`	Data mining in intelligent SSD: Simulation-based evaluation. BigComp Yong-Yeon Jo, Sang-Wook Kim, Moonjun Chung, Hyunok Oh
2016	J	`jnl`	Intelligent SSD: A turbo for big data mining. Comput. Sci. Inf. Syst. Duck-Ho Bae, Jin-Hyung Kim, Yong-Yeon Jo, Sang-Wook Kim, Hyunok Oh, Chanik Park
2016	J	`jnl`	The uFLIP benchmark revisited for evaluating SSDs. Int. J. Commun. Syst. Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Sang-Wook Kim, Youngkyun Shin
2015	A	`conf`	Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis. CIKM Yong-Yeon Jo, Sang-Wook Kim, Duck-Ho Bae
2015	Misc	`conf`	On running data-intensive algorithms with intelligent SSD and host CPU: a collaborative approach. SAC Yong-Yeon Jo, Sungwoo Cho, Sang-Wook Kim, Duck-Ho Bae, Hyunok Oh
2014	—	`conf`	GPU-based matrix multiplication methods for social networks analysis. RACS Yong-Yeon Jo, Sang-Wook Kim, Duck-Ho Bae
2012	—	`conf`	Efficient computations of link-based similarity measures on the GPU. IC-NIDC Yong-Yeon Jo, Duck-Ho Bae, Sang-Wook Kim