Journal: Journal of Phase Equilibria and Diffusion
Jong Youl Choi
Jong Youl Choi is a researcher working in Discrete Algorithms Group, Computer Science and Mathematics Division, Oak Ridge National Laboratory (ORNL), Oak Ridge, Tennessee, USA. He earned his Ph.D. degree in Computer Science at Indiana University Bloomington in 2012 and his MS degree in Computer Science from New York University in 2004.
His areas of research interest span data mining and machine learning algorithms, high-performance data-intensive computing, parallel and distributed systems. More specifically, he is focusing on researching and developing data-centric machine learning algorithms for large scale data management, in situ/in-transit data processing, and data management for code coupling.
His Google scholar page is here.
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules...
Journal: Journal of Cheminformatics
Journal: Applied Sciences
Journal: The 31st International Symposium on High-Performance Parallel and Distributed Computing
Journal: Concurrency and Computation: Practice and Experience