2020 – Page 2 – Data Science & Artificial Intelligence Laboratory

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

Automated facies identification using unsupervised clustering

Youngjun Hong, Shinjo Wang, Jeehoon Bae, Jaeyoon Yoo, Sungroh Yoon, Offshore Technology Conference (OTC), Houston, USA, May 2020.
paper link

04 May 2020

Conference, Sungroh Yoon

Anomaly Detection by Learning Dynamics from a Graph

Jaekoo Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 8, no. 1, pp. 64356-64365, March 2020.
paper link

30 March 2020

Journal, Sungroh Yoon

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

Seongsik Park, Jongwan Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), pp. 858-863, Grenoble, France, March 2020.
paper link

09 March 2020

Conference, Sungroh Yoon

Publications

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

Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks

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

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

The Message Passing Neural Networks for Chemical Property Prediction on SMILES

Joint Contrastive Learning for Unsupervised Domain Adaptation

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Automated facies identification using unsupervised clustering

Anomaly Detection by Learning Dynamics from a Graph

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

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