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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: Seung-Hwan Lim

Publications

December 2024

SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks

Conference Paper
April 2024

Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning

Conference Paper
April 2024

Scaling neural simulations in STACS

Journal: Neuromorphic Computing and Engineering
January 2024

Efficient graph representation framework for chemical molecule similarity tasks

Conference Paper
December 2023

Attention for Causal Relationship Discovery from Biological Neural Dynamics...

Conference Paper

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Organizations

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

Related News

Research Highlight

Translational symmetries constrain how phonons interact in layered magnets

Research Highlight

Adaptive Single Parameter Total Variation Regularization for Derivative Estimation

Research Highlight

Versatile Feature Learning with Graph Convolutions and Graph Structures

News

ORNL technologies receive six R&D 100 Awards
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