Category / Sungroh Yoon
Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models
Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek, Deep Learning and Security (DLS) Workshop, IEEE Symposium on Security and Privacy (S&P), San Francisco, USA, May 2018.
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
Hui Kwon Kim, Seonwoo Min, Myungjae Song, Soobin Jung, Jae Woo Choi, Younggwang Kim, Sangeun Lee, Sungroh Yoon, Hyongbum Kim, Nature Biotechnology, vol. 36, no. 3, pp. 239-241, March 2018.
paper link code suppl
TensorLightning: A Traffic-efficient Distributed Deep Learning on Commodity Spark Clusters
Quantized Memory-Augmented Neural Networks
Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, and Sungroh Yoon, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3909-3916, New Orleans, USA, February 2018.
paper suppl link arxiv
Reinforcement Learning based Recommender System using Biclustering Technique
Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon, in Proceedings of WSDM Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP), Los Angeles, USA, February 2018.
preprint link arxiv
Customization of IBM Intu’s Voice by Connecting Text-to-Speech Services and a Voice Conversion Network
Jongyoon Song, Hyunjae Kim, Jaekoo Lee, Euishin Choi, Minseok, Kim, Sungroh Yoon, in Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 830-839, Waikoloa Village, USA, January 2018.