Jinsu Hong

16 papers B 2C 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Uncertainty-Aware Solar Flare Regression.
CoRR
Jinsu Hong, Chetraj Pandey, Berkay Aydin
2025 J jnl
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena.
CoRR
Jasmine R. Kobayashi, Daniela Martin, Valmir P. Moraes Filho, Connor O'Brien, Jinsu Hong, Sudeshna Boro Saikia, Hala Lamdouar, Nathan D. Miles, Marcella Scoczynski, Mavis Stone, Sairam Sundaresan, Anna Jungbluth, Andrés Muñoz-Jaramillo, Evangelia Samara, Joseph Gallego
2025 J jnl
CORONA-Fields: Leveraging Foundation Models for Classification of Solar Wind Phenomena.
CoRR
Daniela Martin, Jinsu Hong, Connor O'Brien, Valmir P. Moraes Filho, Jasmine R. Kobayashi, Evangelia Samara, Joseph Gallego
2025 — conf
Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction.
ICDM (Workshops)
Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin
2025 J jnl
Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction.
CoRR
Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin
2025 J jnl
Scalable Machine Learning Analysis of Parker Solar Probe Solar Wind Data.
CoRR
Daniela Martin, Connor O'Brien, Valmir P. Moraes Filho, Jinsu Hong, Jasmine R. Kobayashi, Evangelia Samara, Joseph Gallego
2025 J jnl
Surya: Foundation Model for Heliophysics.
CoRR
Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran
2025 J jnl
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction.
CoRR
Sujit Roy, Dinesha Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Rohit Lal, Kshitiz Mandal, Talwinder Singh, Andrés Muñoz-Jaramillo, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell D. Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran
2025 — conf
Uncertainty-Aware Solar Flare Regression.
ICDM (Workshops)
Jinsu Hong, Chetraj Pandey, Berkay Aydin
2024 — conf
Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches.
ECML/PKDD (10)
Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024 J jnl
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches.
CoRR
Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024 B conf
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting.
DSAA
Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024 J jnl
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting.
CoRR
Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2023 C conf
An Innovative Solar Flare Metadata Collection for Space Weather Analytics.
ICMLA
Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin
2023 B conf
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions.
DaWaK
Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin
2023 — conf
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels.
CogMI
Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin