Young Jin Kim
Young Jin Kim
Microsoft (Machine Translation Group), Georgia Tech. (CSE)
Verified email at - Homepage
Cited by
Cited by
Prediction of weather-induced airline delays based on machine learning algorithms
S Choi, YJ Kim, S Briceno, D Mavris
Digital Avionics Systems Conference (DASC), 2016 IEEE/AIAA 35th, 2016
A deep learning approach to flight delay prediction
YJ Kim, S Choi, S Briceno, D Mavris
2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), 2016
Lower numerical precision deep learning inference and training
A Rodriguez, E Segal, E Meiri, E Fomenko, YJ Kim, H Shen, B Ziv …, 2018
From Research to Production and Back: Ludicrously Fast Neural Machine Translation
YJ Kim, M Junczys-Dowmunt, H Hassan, AF Aji, K Heafield, ...
Proceedings of the 3rd Workshop on Neural Generation and Translation, 280-288, 2019
FastFormers: Highly efficient transformer models for natural language understanding
YJ Kim, HH Awadalla
arXiv preprint arXiv:2010.13382, 2020
Scalable and efficient moe training for multitask multilingual models
YJ Kim, AA Awan, A Muzio, AFC Salinas, L Lu, A Hendy, S Rajbhandari, ...
arXiv preprint arXiv:2109.10465, 2021
Taming sparsely activated transformer with stochastic experts
S Zuo, X Liu, J Jiao, YJ Kim, H Hassan, R Zhang, T Zhao, J Gao
arXiv preprint arXiv:2110.04260, 2021
Cost-sensitive prediction of airline delays using machine learning
S Choi, YJ Kim, S Briceno, D Mavris
2017 IEEE/AIAA 36th Digital Avionics Systems, 2017
Artificial neural network models for airport capacity prediction
S Choi, YJ Kim
Journal of Air Transport Management 97, 102146, 2021
Parallel Simulation of Agent-Based Model for Air Traffic Network
YJ Kim, OJ Pinon-Fischer, DN Mavris
AIAA Modeling and Simulation Technologies Conference, 2799, 2015
Time-and space-parallel simulation of air traffic networks
YJ Kim, D Mavris, R Fujimoto
Simulation 95 (12), 1213-1228, 2019
Accelerating TensorFlow on Modern Intel Architectures
E Ould-Ahmed-Vall, M Abuzaina, MF Amin, J Bobba, RS Dubtsov, ...
International workshop on architectures for intelligent machines, 2017
A deep learning and parallel simulation methodology for air traffic management
YJ Kim
Georgia Institute of Technology, 2017
Creation of a Decision-Support Methodology for Selecting More-Electric Aircraft Subsystem Technologies
J Craisse, S Krüger, YJ Kim, I Chakraborty, S Briceno, Y Li, E Garcia, ...
10th Annual IEEE International Systems Conference (IEEE SysCon 2016), 2016
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
R Liu, YJ Kim, A Muzio, H Hassan
International Conference on Machine Learning, 13782-13792, 2022
Time-parallel simulation of air traffic networks
YJ Kim, D Mavris, R Fujimoto
2017 Winter Simulation Conference (WSC), 1013-1024, 2017
Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production
YJ Kim, R Henry, R Fahim, HH Awadalla
arXiv preprint arXiv:2211.10017, 2022
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
G Jawahar, S Mukherjee, X Liu, YJ Kim, M Abdul-Mageed, ...
arXiv preprint arXiv:2210.07535, 2022
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU
H Amer, YJ Kim, M Afify, H Matsushita, HH Awadallah
arXiv preprint arXiv:2208.06874, 2022
단일 안테나 GPS 수신기를 이용한관성센서의 고장검출 및 분리
YJ Kim, Y Kim
The system can't perform the operation now. Try again later.
Articles 1–20