Sungroh Yoon
Sungroh Yoon
Professor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National University
Verified email at
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
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
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
Got target?: computational methods for microRNA target prediction and their extension
H Min, S Yoon
Experimental & molecular medicine 42 (4), 233-244, 2010
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), 239-241, 2018
Prediction of regulatory modules comprising microRNAs and target genes
S Yoon, G De Micheli
Bioinformatics 21 (suppl_2), ii93-ii100, 2005
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
J Kim, S Kim, J Kong, S Yoon
NeurIPS 2020 Oral (arXiv preprint arXiv:2005.11129), 2020
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection
S Kim, S Park, B Na, S Yoon
arXiv preprint arXiv:1903.06530, 2020
FloWaveNet : A Generative Flow for Raw Audio
S Kim, S Lee, J Song, S Yoon
arXiv preprint arXiv:1811.02155, 2018
Patch SVDD: Patch-level SVDD for anomaly detection and segmentation
J Yi, S Yoon
Proceedings of the Asian Conference on Computer Vision, 2020
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
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
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
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
Biometric authentication using noisy electrocardiograms acquired by mobile sensors
HS Choi, B Lee, S Yoon
IEEE access 4, 1266-1273, 2016
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
HK Kim, Y Kim, S Lee, S Min, JY Bae, JW Choi, J Park, D Jung, S Yoon, ...
Science advances 5 (11), eaax9249, 2019
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
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
deepTarget: end-to-end learning framework for microRNA target prediction using deep recurrent neural networks
B Lee, J Baek, S Park, S Yoon
Proceedings of the 7th ACM international conference on bioinformatics …, 2016
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