Liu, Xin https://orcid.org/0009-0004-2687-9866
Liu, Jiajia https://orcid.org/0000-0003-2569-1840
Song, Shuhua
Jiang, Ye https://orcid.org/0000-0002-6683-0205
Huang, Xin https://orcid.org/0000-0003-0569-5932
Xu, Zhanpeng https://orcid.org/0009-0000-1836-3414
Erdélyi, Robertus https://orcid.org/0000-0003-3439-4127
Wang, Yimin https://orcid.org/0000-0002-8835-3825
Funding for this research was provided by:
MOST ∣ National Natural Science Foundation of China (12303103)
MOST ∣ National Natural Science Foundation of China (42521007)
MOST ∣ National Natural Science Foundation of China (42188101)
MOST ∣ National Natural Science Foundation of China (12373056)
山东省科学技术厅 ∣ Natural Science Foundation of Shandong Province (ZR2023QF151)
NKFIN OTKA (K142987)
UKRI ∣ Science and Technology Facilities Council (ST/M000826/1)
CAS PIFI (2024PVA0043)
NKFIN Excellence Grant (TKP2021-NKTA-64)
National Key R&D Program of China (2021YFA1600504)
Strategic Priority Research Program of the Chinese Academy of Sciences (XDB0560000)
Article Title: Automated Detection of Coronal Mass Ejections with Few-shot Learning
Journal Title: The Astrophysical Journal Supplement Series
Article Type: paper
Copyright Information: © 2026. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2025-11-17
Date Accepted: 2026-01-21
Online publication date: 2026-02-27