Conference – Data Science Laboratory

Category / Conference

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

Seunghyun Park, Seonwoo Min, Hyunsoo Choi, and Sungroh Yoon, in Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, USA, December 2017.
preprint suppl link

05 September 2017

Conference, Hyunsoo Choi, Seonwoo Min, Seunghyun Park, Sungroh Yoon

HiComet: A High-Throughput Comet Analysis Tool for Large-Scale DNA Damage Assessment

Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, and Sungroh Yoon, in Proceedings of the 28th International Conference on Genome Informatics (GIW/BIOINFO 2017), Seoul, Korea, October 2017.
preprint suppl link

04 September 2017

Conference, Hyeyoung Min, Joong-Ho Won, Sungmin Lee, Sungroh Yoon, Taehoon Lee, Woo Young Sim, Yu Mi Jung

MUGAN: Multi-GPU Accelerated AmpliconNoise Server for Rapid Microbial Diversity Assessment

Byunghan Lee, Hyeyoung Min, and Sungroh Yoon, in Proceedings of the 28th International Conference on Genome Informatics (GIW/BIOINFO 2017), Seoul, Korea, October 2017.
preprint suppl link

04 September 2017

Byunghan Lee, Conference, Hyeyoung Min, Sungroh Yoon

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

Sunyoung Kwon and Sungroh Yoon, in Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Boston, USA, August 2017.
preprint link arXiv

20 August 2017

Conference, Sungroh Yoon, Sunyoung Kwon

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.
preprint link arXiv

15 May 2017

Conference, Eui-Young Chung, Hyeokjun Choe, Seijoon Kim, Seongsik Park, Sungroh Yoon

Transfer Learning for Deep Learning on Graph-Structured Data

Jaekoo Lee, Hyunjae Kim, Jongsun Lee, and Sungroh Yoon, in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, USA, February 2017.
preprint link

12 February 2017

Conference, Hyunjae Kim, Jaekoo Lee, Jongsun Lee, Sungroh Yoon

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

11 January 2017

Changwoo Jung, Conference, Gyuwan Kim, Jaeyoon Yoo, Jangho Lee, Minseok Kim, Sungroh Yoon

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

01 November 2016

Byunghan Lee, Conference, Seonwoo Min, Sungroh Yoon, Taesup Moon

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

31 October 2016

Conference, Hyunha Nam, Sang-gil Lee, Seongsik Park, Sungroh Yoon

CloudSocket: Smart Grid Platform for Datacenters

Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Chang-Sung Jeong, and Sungroh Yoon, in Proceedings of the 34th IEEE International Conference on Computer Design (ICCD), pp. 436-439, Phoenix, USA, October 2016.
paper link

15 August 2016

Conference, Hanjoo Kim, Hyeokjun Choe, Seijoon Kim, Seil Lee, Sungroh Yoon