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Seung-Hwan Lim

Seung-Hwan Lim

Research Scientist

Contact

LIMS1@ORNL.GOV

Bio

I am a computer scientist who works on machine learning on discrete structures like graph and sequences. 

Google scholar entry:

Publications

June 2016

Evaluation of Graph Pattern Matching Workloads in Graph Analysis Systems

Conference Paper
April 2016

Enabling Graph Mining in RDF Triplestores using SPARQL for Holistic In-situ Graph Analysis

Journal: Expert Systems with Applications
February 2016

An analysis of image storage systems for scalable training of deep neural networks

Conference Paper
November 2015

Benchmarking High Performance Graph Analysis Systems with Graph Mining and Pattern Matching…

Conference Paper
November 2015

Optimizing Deep Learning Hyper-Parameters Through an Evolutionary Algorithm...

Conference Paper

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Computing and Computational Sciences Directorate
Computer Science and Mathematics Division
Mathematics in Computation Section
Discrete Algorithms Group

Related News

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Translational symmetries constrain how phonons interact in layered magnets

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Adaptive Single Parameter Total Variation Regularization for Derivative Estimation

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Versatile Feature Learning with Graph Convolutions and Graph Structures

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ORNL technologies receive six R&D 100 Awards
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