Hyungro Lee

Orcid: 0000-0002-4221-7094

According to our database1, Hyungro Lee authored at least 23 papers between 2011 and 2024.

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Bibliography

2024
alchemlyb: the simple alchemistry library.
J. Open Source Softw., 2024

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security.
CoRR, 2024

2023
Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting.
J. Chem. Inf. Model., September, 2023

Data for manuscript "Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting".
Dataset, March, 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.
Int. J. High Perform. Comput. Appl., 2023

Data Flow Lifecycles for Optimizing Workflow Coordination.
Proceedings of the International Conference for High Performance Computing, 2023

2022
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model., 2022

Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Sparse Deep Neural Network Inference Using Different Programming Models.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.
Int. J. High Perform. Comput. Appl., 2021

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.
CoRR, 2021

Scalable HPC & AI infrastructure for COVID-19 therapeutics.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021


2020
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics.
CoRR, 2020

2019
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Deep Generative Model Driven Protein Folding Simulations.
Proceedings of the Parallel Computing: Technology Trends, 2019

Big Data Benchmarks of High-Performance Storage Systems on Commercial Bare Metal Clouds.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Evaluation of Production Serverless Computing Environments.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Efficient Software Defined Systems Using Common Core Components.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
MGEScan: a Galaxy-based system for identifying retrotransposons in genomes.
Bioinform., 2016

2014
Accessing multiple clouds with cloudmesh.
Proceedings of the BigSystem'14, 2014

2013
Bio and health informatics meets cloud : BioVLab as an example.
Health Inf. Sci. Syst., 2013

2011
BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011


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