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  • Home
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    • Selected Papers (2018~)
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Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks

Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon, in Proceedings of Computing in Cardiology, vol. 47, pp. 1-4, Rimini, Italy, September 2020.
paper  link

13 September 2020
Conference, Sungroh Yoon

Sequence-specific prediction of the efficiencies of adenine and cytosine base editors

Myungjae Song, Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Sang-Yeon Seo, Jinman Park, Nahye Kim, Jae Woo Choi, Hyewon Jang, Jeong Hong Shin, Seonwoo Min, Jhejiu Quan, Jihun Kim, Hoon-Chul Kang, Sungroh Yoon, Hyongbum Henry Kim, Nature Biotechnology, vol. 38, no. 9, pp. 1037-1043, September 2020.
paper  link 

01 September 2020
Journal, Sungroh Yoon

iCaps: An Interpretable Classifier via Disentangled Capsule Networks

Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon, in Proceedings of European Conference on Computer Vision (ECCV), Glasgow, UK, August 2020.
paper  slides   link  arxiv  suppl

23 August 2020
Conference, Sungroh Yoon

Self-supervised Perceptual Motion Deblurring using a Conditional Generative Neural Network Guided by Optical Flow

Jaihyun Koh, Sungroh Yoon, in Proceedings of Society for Information Display (SID) Display Week Symposium, San Jose, USA, August 2020.
preprint  link

03 August 2020
Conference, Sungroh Yoon

Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks

Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint  link

20 July 2020
Conference, Sungroh Yoon

Improving the accuracy of blood pressure prediction by distilling the knowledge of neural networks

Sanghyun Baek, Byunghan Lee, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint  link

20 July 2020
Conference, Sungroh Yoon

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, July 2020.
preprint  link

19 July 2020
Conference, Sungroh Yoon

The Message Passing Neural Networks for Chemical Property Prediction on SMILES

Jeonghee Jo, Bumju Kwak, Hyun-Soo Choi, Sungroh Yoon, Methods, vol. 179, pp. 65-72, July 2020.
paper  link

01 July 2020
Journal, Sungroh Yoon

Joint Contrastive Learning for Unsupervised Domain Adaptation

Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon, arXiv:2006.10297 [cs.CV], June 2020.
paper  link  

18 June 2020
arXiv, Sungroh Yoon

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Saehyung Lee, Hyungyu Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral Presentation, pp. 272-281, Seattle, USA, June 2020.
paper  slides  link  arXiv  suppl

16 June 2020
Conference, Sungroh Yoon
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