Conference – Data Science & Artificial Intelligence Laboratory

Category / Conference

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), New Orleans, USA, February 2018.
preprint suppl link arxiv

07 February 2018

Conference, Seongsik Park, Sungroh Yoon

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

01 February 2018

Conference, Sungroh Yoon

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.
paper link

03 January 2018

Conference, Sungroh Yoon

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

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

05 September 2017

Conference, Hyunsoo Choi, Seonwoo Min, Seunghyun Park, 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.
paper 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