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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 2023

Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking…

Conference Paper
December 2023

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

Conference Paper
July 2023

Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical…

Conference Paper
May 2023

UnifyFS: A User-level Shared File System for Unified Access to Distributed Local Storage...

Conference Paper
November 2022

Neuromorphic Computing for Scientific Applications

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

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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