Category / Conference
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
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
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks
Byunghan Lee, Junghwan Baek, Seunghyun Park, and Sungroh Yoon, in Proceedings of the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 434-442, Seattle, USA, October 2016.
paper code
Mining Internet Media for Monitoring Changes of Public Emotions about Infectious Diseases
Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, and Sungroh Yoon, in Proceedings of ICDE Workshop on Health Data Management and Mining, Helsinki, Finland, May 2016.
link
Distributed Ensemble Learning for Analyzing Nationwide Health-Insurance Databases
Heonseok Ha, Jinkyu Kim, Jaehong Park and Sungroh Yoon, in NIPS Workshop on Machine Learning in Machine Learning for Healthcare, Montreal, Canada, December 2015.
link
Big/Little Deep Neural Network for Ultra Low-Power Inference
Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Sungroh Yoon, Gunhee Kim, and Sungjoo Yoo, in Proceedings of International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), pp. 124-132, Amsterdam, The Netherlands, October 2015.
paper link