Sungroh Yoon
Sungroh Yoon
Professor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National University
Verified email at - Homepage
Cited by
Cited by
Deep Learning in Bioinformatics
S Min, B Lee, S Yoon
Briefings in Bioinformatics 18 (5), 851-869, 2016
RNA design rules from a massive open laboratory
J Lee, W Kladwang, M Lee, D Cantu, M Azizyan, H Kim, A Limpaecher, ...
Proceedings of the National Academy of Sciences 111 (6), 2122-2127, 2014
Got target?: computational methods for microRNA target prediction and their extension
H Min, S Yoon
Experimental & molecular medicine 42 (4), 233-244, 2010
Prediction of regulatory modules comprising microRNAs and target genes
S Yoon, G De Micheli
Bioinformatics 21 (suppl_2), ii93-ii100, 2005
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
J Lee, E Kim, S Lee, J Lee, S Yoon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5267-5276, 2019
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
HK Kim, S Min, M Song, S Jung, JW Choi, Y Kim, S Lee, S Yoon, HH Kim
Nature biotechnology 36 (3), 239, 2018
How generative adversarial networks and their variants work: An overview
Y Hong, U Hwang, J Yoo, S Yoon
ACM Computing Surveys (CSUR) 52 (1), 1-43, 2019
Computational identification of microRNAs and their targets
S Yoon, G De Micheli
Birth Defects Research Part C: Embryo Today: Reviews 78 (2), 118-128, 2006
FloWaveNet : A Generative Flow for Raw Audio
S Kim, S Lee, J Song, S Yoon
ICML 2019 (arXiv preprint arXiv:1811.02155), 2018
LSTM-based system-call language modeling and robust ensemble method for designing host-based intrusion detection systems
G Kim, H Yi, J Lee, Y Paek, S Yoon
arXiv preprint arXiv:1611.01726, 2016
Run-time adaptive workload estimation for dynamic voltage scaling
SY Bang, K Bang, S Yoon, EY Chung
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2009
HiTRACE: high-throughput robust analysis for capillary electrophoresis
S Yoon, J Kim, J Hum, H Kim, S Park, W Kladwang, R Das
Bioinformatics 27 (13), 1798-1805, 2011
Concurrent simulation platform for energy-aware smart metering systems
S Park, H Kim, H Moon, J Heo, S Yoon
IEEE transactions on Consumer Electronics 56 (3), 1918-1926, 2010
Deduplication in SSDs: Model and quantitative analysis
J Kim, C Lee, S Lee, I Son, J Choi, S Yoon, H Lee, S Kang, Y Won, J Cha
2012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST), 1-12, 2012
Biometric authentication using noisy electrocardiograms acquired by mobile sensors
HS Choi, B Lee, S Yoon
IEEE Access 4, 1266-1273, 2016
Deep recurrent neural network-based identification of precursor microRNAs
S Park, S Min, HS Choi, S Yoon
Advances in Neural Information Processing Systems (NIPS), 2891-2900, 2017
Big/little deep neural network for ultra low power inference
E Park, D Kim, S Kim, YD Kim, G Kim, S Yoon, S Yoo
2015 International Conference on Hardware/Software Codesign and System …, 2015
Vssim: Virtual machine based ssd simulator
J Yoo, Y Won, J Hwang, S Kang, J Choil, S Yoon, J Cha
2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST), 1-14, 2013
SSD characterization: From energy consumption’s perspective
B Yoo, Y Won, S Cho, S Kang, J Choi, S Yoon
Proceedings of HotStorage, 2011
Discovering coherent biclusters from gene expression data using zero-suppressed binary decision diagrams
S Yoon, C Nardini, L Benini, G De Micheli
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (4), 339-354, 2005
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