Pediatric Sleep Stage Classification using Multi-domain Hybrid Neural Networks

Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim, IEEE Access, vol. 7, no. 1, pp. 96495–96505, July 2019.
paper  link

11 July 2019
Journal, Sungroh Yoon

HexaGAN: Generative Adversarial Nets for Real World Classification

Uiwon Hwang, Dahuin Jung, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
paper  slides  link  arXiv  suppl

30 June 2019
Conference, Sungroh Yoon

FloWaveNet: A Generative Flow for Raw Audio

Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
paper  link  arXiv  code  demo

29 June 2019
Conference, Sungroh Yoon

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June 2019.
paper  link   arXiv

16 June 2019
Conference, Sungroh Yoon

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), Las Vegas, USA, June 2019.
paper  link  arXiv

02 June 2019
Conference, Hyeokjun Choe, Seijoon Kim, Seongsik Park, Sungroh Yoon

One-Shot Learning for Text-to-SQL Generation

Dongjun Lee, Jaesik Yoon, Jongyun Song, Sanggil Lee, Sungroh Yoon, arXiv:1905.11499 [cs.CL], May 2019.
paper  link

01 May 2019
arXiv, Sungroh Yoon

Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes

Hyun-Soo Choi, Yoon Ki Jung, So Youn Ahn, Sungroh Yoon, Hee Hwang, Hunmin Kim, Journal of Clinical Neurology, vol. 15, no. 2, pp. 211-220, April 2019.
paper  link

02 April 2019
Hyunsoo Choi, Journal, Sungroh Yoon

Cracking the code of personalized medicine

Advertisement Feature (not a peer reviewed research article) in Nature Research, March 2019.
link

28 March 2019
Journal, Sungroh Yoon

Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation

Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon, arXiv:1903.04860 [cs.LG], March 2019.
paper  link

19 March 2019
arXiv, Sungroh Yoon

Real-Time Anomalous Branch Behavior Detection with a GPU-Inspired Engine for Machine Learning Models

Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
preprint  link

01 March 2019
Conference, Sungroh Yoon

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