The ASTER polar cloud mask. - Antonette M. Logar; David E. Lloyd; Edward M. Corwin; Manuel L. Penaloza; Rand E. Feind; Todd Berendes; Kwo-Sen Kuo; Ronald Welch (IEEE Trans. Geosci. Remote. Sens., 1998)

Theoretical Basis for Retrievals of Irregular-Particle Collections in the Atmosphere. - Kwo-Sen Kuo; Eric A. Smith; Qingyuan Han (IGARSS (5), 2008)

Leveraging data intensive computing to support Automated Event Services. - Thomas L. Clune; Shawn M. Freeman; Kwo-Sen Kuo (IGARSS, 2012)

A Proposed Earth Science Collaboratory for Remote Sensing Data Analysis. - Kwo-Sen Kuo; Christopher Lynnes; Rahul Ramachandran (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Data Prospecting-A Step Towards Data Intensive Science. - Rahul Ramachandran; John A. Rushing; Amy Lin; Helen Conover; Xiang Li 043; Sara J. Graves; Udaysankar Nair; Kwo-Sen Kuo; Deborah K. Smith (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Evaluating the impact of data placement to spark and SciDB with an Earth Science use case. - Khoa D. Doan; Amidu O. Oloso; Kwo-Sen Kuo; Thomas L. Clune; Hongfeng Yu 001; Brian Nelson; Jian Zhang (IEEE BigData, 2016)

Implementing connected component labeling as a user defined operator for SciDB. - Amidu Oloso; Kwo-Sen Kuo; Thomas L. Clune; Paul Brown; Alex Poliakov; Hongfeng Yu 001 (IEEE BigData, 2016)

Addressing the big-earth-data variety challenge with the hierarchical triangular mesh. - Michael L. Rilee; Kwo-Sen Kuo; Thomas L. Clune; Amidu Oloso; Paul G. Brown; Hongfeng Yu 001 (IEEE BigData, 2016)

Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences. - Kwo-Sen Kuo; Amidu Oloso; Khoa D. Doan; Thomas L. Clune; Hongfeng Yu 001 (IGARSS, 2016)

Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections. - Kwo-Sen Kuo; Kush Shrestha; Amy Lin; Rahul Ramachandran (IGARSS, 2016)

Feature extraction and tracking for large-scale geospatial data. - Lina Yu; Feiyu Zhu 001; Hongfeng Yu 001; Jun Wang 022; Kwo-Sen Kuo (IGARSS, 2016)

Visual analytics with unparalleled variety scaling for big earth data. - Lina Yu; Michael L. Rilee; Yu Pan 007; Feiyu Zhu 001; Kwo-Sen Kuo; Hongfeng Yu 001 (IEEE BigData, 2017)

A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization. - Kwo-Sen Kuo; Yu Pan 007; Feiyu Zhu 001; Jin Wang; Michael L. Rilee; Hongfeng Yu 001 (IGARSS, 2018)

A Computationally Efficient 3-D Full-Wave Model for Coherent EM Scattering From Complex-Geometry Hydrometeors Based on MoM/CBFM-Enhanced Algorithm. - Ines Fenni; Ziad S. Haddad; Helene Roussel; Kwo-Sen Kuo; Raj Mittra (IEEE Trans. Geosci. Remote. Sens., 2018)

Active and Passive Radiative Transfer Simulations for GPM-Related Field Campaigns. - Ian Stuart Adams; S. Joseph Munchak; Kwo-Sen Kuo; Craig Pelissier; Thomas L. Clune; Rachael Kroodsma; Adrian M. Loftus; Xioawen Li (IGARSS, 2019)

Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI. - Kwo-Sen Kuo; Hongfeng Yu 001; Yu Pan 007; Michael L. Rilee (IGARSS, 2019)

STARE-based Integrative Analysis of Diverse Data Using Dask Parallel Programming Demo Paper. - Michael Rilee; Niklas Griessbaum; Kwo-Sen Kuo; James Frew; Robert E. Wolfe (SIGSPATIAL/GIS, 2020)

Recent Advances to the Openssp Particle and Scattering Database. - Ian Stuart Adams; Kwo-Sen Kuo; William S. Olson; Thomas L. Clune; Craig Pelissier; Adrian M. Loftus; Robert S. Schrom (IGARSS, 2020)

Towards a Mass-Consistent Methodology for Realistic Melting Hydrometeor Retrieval. - Kwo-Sen Kuo; Adrian M. Loftus; William S. Olson; Robert S. Schrom; Benjamin T. Johnson; Ian Stuart Adams (IGARSS, 2020)

Stare Towards Integrative Analysis with Minimized Data Wrangling Hassle. - Michael L. Rilee; Kwo-Sen Kuo; James Frew; Niklas Griessbaum; James Gallagher (IGARSS, 2020)

Assessing Deep Neural Networks as Probability Estimators. - Yu Pan 007; Kwo-Sen Kuo; Michael L. Rilee; Hongfeng Yu 001 (IEEE BigData, 2021)

STARE Companion Files for NASA Earth Science Data. - James Gallagher; Edward J. Hartnett; Michael L. Rilee; Kwo-Sen Kuo (IGARSS, 2021)

A Portable Approach to Integrating Diverse Geo-Science Data Using Stare-Aware Databases and Transitioning to Cloud. - Michael L. Rilee; Kwo-Sen Kuo; Niklas Griessbaum; James Frew; James Gallagher (IGARSS, 2021)

Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. - Jia Zhang 001; Junhao Shen; Beichen Hu; Rahul Ramachandran; Tsengdar J. Lee; Kwo-Sen Kuo; Manil Maskey; Seungwon Lee (SMDS, 2021)

Parameterizing Single Scattering Properties Across the Electromagnetic Spectrum for Water Cloud Retrieval. - Kwo-Sen Kuo; Ines Fenni (IGARSS, 2022)

STARE into the future of GeoData integrative analysis. - Michael L. Rilee; Kwo-Sen Kuo; James Frew; James Gallagher; Niklas Griessbaum; Kodi Neumiller; Robert E. Wolfe (Earth Sci. Informatics, 2022)

Biases in Ice Particle Size Retrievals from Synthetic Imaging Probes. - Robert S. Schrom; Kwo-Sen Kuo (IGARSS, 2024)

Deep Learning for Precipitation Retrievals Using Combined Measurements from GOES-16 and GOES-18 Satellites. - Yifan Yang; Haonan Chen; Kwo-Sen Kuo (IGARSS, 2024)