Huikyo Lee

According to our database, Huikyo Lee authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Exploratory Spatiotemporal Visual Analytics Approaches for Climate Science.

Abdullah al-Raihan Nayeem, Dongyun Han, Huikyo Lee, Donghoon Kim, Daniel Feldman, William J. Tolone, Daniel J. Crichton, Isaac Cho

CoRR, 2024

SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks.

Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.

Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Learning on Health Fairness and Environmental Justice via Interactive Visualization.

Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho

Proceedings of the IEEE International Conference on Big Data, 2022

DCPViz: A Visual Analytics Approach for Downscaled Climate Projections.

Abdullah al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammed Elshambakey, William J. Tolone, Todd Dobbs, Daniel J. Crichton, Isaac Cho

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East.

Khang Chau, Meredith Franklin, Huikyo Lee, Michael J. Garay, Olga V. Kalashnikova

Remote. Sens., 2021

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity.

Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel

CoRR, 2021

TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions.

Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning.

Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Visual Analytics Framework for Distributed Data Analysis Systems.

Abdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument.

Le Kuai, Olga V. Kalashnikova, Francesca M. Hopkins, Glynn C. Hulley, Huikyo Lee, Michael J. Garay, Riley M. Duren, John R. Worden, Simon J. Hook

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2018

How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models?

Huikyo Lee, Michael J. Garay, Olga V. Kalashnikova, Yan Yu, Peter B. Gibson

Remote. Sens., 2018

2017

VIFI: Virtual information fabric infrastructure for data-driven discoveries from distributed earth science data.

Ashit Talukder, Mohammed Elshambakey, Sameer Wadkar, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou, Daniel J. Crichton

Proceedings of the 2017 IEEE SmartWorld, 2017

Towards a distributed infrastructure for data-driven discoveries & analysis.

Mohammed Elshambakey, Mohamed Khalefa, William J. Tolone, Sreyasee Das Bhattacharjee, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou, Daniel J. Crichton

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets.

Kim Whitehall, Chris A. Mattmann, Gregory Jenkins, Mugizi Robert Rwebangira, Belay Demoz, Duane Waliser, Jinwon Kim, Cameron Goodale, Andrew F. Hart, Paul M. Ramirez, Michael J. Joyce, Maziyar Boustani, Paul Zimdars, Paul Loikith, Huikyo Lee

Earth Sci. Informatics, 2015

Optimization of system architecture for Big Data analysis in climate science.

Huikyo Lee, Luca Cinquini, Daniel J. Crichton, Amy Braverman

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015