Huikyo Lee

22 papers A* 3B 3Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets.
CoRR
Nicholas LaHaye, Anistasija Easley, Kyongsik Yun, Huikyo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova
2025 — conf
LLM-Based Multi-Agent System and Simplicial Self-Supervised Learning Model for Regional Cancer Prevalence Estimation Using Satellite Imagery.
SIGSPATIAL/GIS
Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Huikyo Lee, Loretta Erhunmwunsee, Tarik Benmarhnia, Caroline A. Thompson, Yulia R. Gel, Marta M. Jankowska
2024 J jnl
A Survey on Exploratory Spatiotemporal Visual Analytics Approaches for Climate Science.
CoRR
Abdullah al-Raihan Nayeem, Dongyun Han, Huikyo Lee, DongHoon Kim, Daniel Feldman, William J. Tolone, Daniel J. Crichton, Isaac Cho
2024 B conf
Firecast Zigzag Convolutional Network for Wildfire Prediction.
IEEE Big Data
Yuzhou Chen, Joel Chacón Castillo, Huikyo Lee, Yulia R. Gel
2024 A* conf
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks.
AAAI
Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel
2023 A* conf
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.
KDD
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
2022 B conf
DCPViz: A Visual Analytics Approach for Downscaled Climate Projections.
IEEE Big Data
Abdullah al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammed Elshambakey, William J. Tolone, Todd Dobbs, Daniel J. Crichton, Isaac Cho
2022 J jnl
DCPViz: A Visual Analytics Approach for Downscaled Climate Projections.
CoRR
Abdullah al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammed Elshambakey, William J. Tolone, Todd Dobbs, Daniel J. Crichton, Isaac Cho
2022 B conf
Learning on Health Fairness and Environmental Justice via Interactive Visualization.
IEEE Big Data
Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
2022 J jnl
Learning on Health Fairness and Environmental Justice via Interactive Visualization.
CoRR
Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho
2021 — conf
A Visual Analytics Framework for Distributed Data Analysis Systems.
IEEE BigData
Abdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho
2021 J jnl
A Visual Analytics Framework for Distributed Data Analysis Systems.
CoRR
Abdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho
2021 A* conf
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning.
KDD
Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel
2021 — conf
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions.
PAKDD (1)
Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel
2021 J jnl
Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East.
Remote. Sens.
Khang Chau, Meredith Franklin, Huikyo Lee, Michael J. Garay, Olga V. Kalashnikova
2021 J jnl
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity.
CoRR
Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel
2019 J jnl
Quantification of Ammonia Emissions With High Spatial Resolution Thermal Infrared Observations From the Hyperspectral Thermal Emission Spectrometer (HyTES) Airborne Instrument.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
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
2018 J jnl
How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models?
Remote. Sens.
Huikyo Lee, Michael J. Garay, Olga V. Kalashnikova, Yan Yu, Peter B. Gibson
2017 — conf
Towards a distributed infrastructure for data-driven discoveries & analysis.
IEEE BigData
Mohammed Elshambakey, Mohamed Khalefa, William J. Tolone, Sreyasee Das Bhattacharjee, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou, Daniel J. Crichton
2017 — conf
VIFI: Virtual information fabric infrastructure for data-driven discoveries from distributed earth science data.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Ashit Talukder, Mohammed Elshambakey, Sameer Wadkar, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou, Daniel J. Crichton
2015 J jnl
Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets.
Earth Sci. Informatics
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
2015 — conf
Optimization of system architecture for Big Data analysis in climate science.
IEEE BigData
Huikyo Lee, Luca Cinquini, Daniel J. Crichton, Amy Braverman