| Deep Learning in Bioinformatics S Min, B Lee, S Yoon Briefings in Bioinformatics 18 (5), 851-869, 2016 | 833 | 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 | 243 | 2014 |
| Got target?: computational methods for microRNA target prediction and their extension H Min, S Yoon Experimental & molecular medicine 42 (4), 233-244, 2010 | 199 | 2010 |
| Prediction of regulatory modules comprising microRNAs and target genes S Yoon, G De Micheli Bioinformatics 21 (suppl_2), ii93-ii100, 2005 | 183 | 2005 |
| 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 | 116 | 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 | 103 | 2019 |
| 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 | 93 | 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 | 90 | 2006 |
| 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 | 87 | 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 | 82 | 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 | 82 | 2010 |
| 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 | 76 | 2016 |
| 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 | 74* | 2012 |
| FloWaveNet : A Generative Flow for Raw Audio S Kim, S Lee, J Song, S Yoon ICML 2019 (arXiv preprint arXiv:1811.02155), 2018 | 72 | 2018 |
| Biometric authentication using noisy electrocardiograms acquired by mobile sensors HS Choi, B Lee, S Yoon IEEE Access 4, 1266-1273, 2016 | 72 | 2016 |
| 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 | 66 | 2013 |
| 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 | 63* | 2017 |
| 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 | 62 | 2005 |
| SSD characterization: From energy consumption’s perspective B Yoo, Y Won, S Cho, S Kang, J Choi, S Yoon Proceedings of HotStorage, 2011 | 61 | 2011 |
| 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 | 59 | 2015 |
Seonwoo MinSeoul National UniversityVerified email at snu.ac.kr
