Category / Sungroh Yoon
Near-Data Processing for Differentiable Machine Learning Models
Hyeokjun Choe, Seil Lee, Hyunha Nam, Seongsik Park, Seijoon Kim, Eui-Young Chung, and Sungroh Yoon, in Proceedings of the 33rd International Conference on Massive Storage Systems and Technology (MSST), Santa Clara, USA, May 2017.
An Effective Pre-Store/Pre-Load Method Exploiting Intra-Request Idle Time of NAND Flash-Based Storage Devices
Exome-Based Genome-Wide Association Study and Risk Assessment using Genetic Risk Score to Prostate Cancer in the Korean Population
Jong Jin Oh, Soo Ji Lee, Joo-Yeon Hwang, Dokyoon Kim, Sang Eun Lee, Sung Kyu Hong, Jin-Nyoung Ho, Sungroh Yoon, Joohon Sung, Wun-Jae Kim, and Seok-Soo Byun, Oncotarget, vol. 8, no. 27, pp. 43934-43943, March 2017.
Transfer Learning for Deep Learning on Graph-Structured Data
Training IBM Watson using Automatically Generated Question-Answer Pairs
Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, and Sungroh Yoon, in Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 1683-1691, Waikoloa Village, USA, January 2017.
paper link arXiv
Development and External Validation of the Korean Prostate Cancer Risk Calculator for High-grade Prostate Cancer: Comparison with Two Western Risk Calculators in an Asian Cohort
LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems
Neural Universal Discrete Denoiser
Taesup Moon, Seonwoo Min, Byunghan Lee, and Sungroh Yoon, in Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.
preprint suppl link
An Efficient Method to Boosting Performance of Spiking Neural Network Training
Seongsik Park, Sang-gil Lee, Hyunha Nam, and Sungroh Yoon, in the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS) Workshop on Computing with Spikes, Barcelona, Spain, December 2016.
paper link arXiv