Siwon Kim – Data Science & Artificial Intelligence Laboratory

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

Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection

Seijoon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 7, pp. 11270-11277, New York, USA, February 2020.
paper link arXiv

10 February 2020

Conference, Sungroh Yoon

End-to-End Blood Pressure Prediction via Fully Convolutional Networks

Sanghyun Baek, Jiyong Jang, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 185458-185468, December 2019.
paper link

31 December 2019

Journal, Sungroh Yoon

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim, Science Advances, Vol. 5, no. 11, p. eaax9249, November 2019.
paper link

07 November 2019

Journal, Sungroh Yoon, 미분류

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019.
paper link

07 October 2019

Journal, Sungroh Yoon, 미분류

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection

End-to-End Blood Pressure Prediction via Fully Convolutional Networks

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

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