Category / Conference

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

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

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA

Seongsik Park, Jahee Jang, Seijoon Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
paper  link  arXiv  code

01 March 2019
Conference, Sungroh Yoon

DNA Steganalysis using Deep Recurrent Neural Networks

Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2019.
paper  link  arXiv

01 January 2019
Conference, Sungroh Yoon

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk

Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon, in Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, December 2018.
preprint  link  

17 December 2018
Conference, Sungroh Yoon

Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector

Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon, in Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , LNCS vol. 11071, pp. 693–701, Granada, Spain, September 2018.
paper  link  arXiv

18 September 2018
Conference, Sang-gil Lee, Sungroh Yoon

XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography

Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon, in Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 111-121, Washington DC, USA, August 2018.
paper  link

29 August 2018
Conference, Sungroh Yoon

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