activity
20242026
most citedAdvances and Challenges in Solar Flare Prediction: A Review

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2026

JW-FD: A 15-Year Multimodal Dataset for Solar Flare Forecasting

Shao Mingfu, Lin Jiaben, Wang Hui +4

Solar flares drive severe space weather hazards, and forecasting their occurrence remains a central challenge for both heliophysics and operational space weather services. Data dri…

astro-ph.SR2026

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields

Yuqing Zhou, Hui Liu, Zhenyu Jin +5

Forecasting the dynamic evolution of solar magnetic fields is a critical technique for enabling space weather warnings. Addressing the limitations of existing methods in predicting…

astro-ph.SR2025

JW-Flare: Accurate Solar Flare Forecasting Method Based on Multimodal Large Language Models

Mingfu Shao, Hui Wang, Yuyang Li +17

Solar flares, the most powerful explosive phenomena in the solar system, may pose significant hazards to spaceborne satellites and ground-based infrastructure. Despite decades of i…

astro-ph.SR2025★ 2 cited

Advances and Challenges in Solar Flare Prediction: A Review

Mingfu Shao, Suo Liu, Haiqing Xu +8

Solar flares, as one of the most prominent manifestations of solar activity, have a profound impact on both the Earth's space environment and human activities. As a result, accurat…

astro-ph.IM2025

In-Orbit GRB Identification Using LLM-based model for the CXPD CubeSat

Cunshi Wang, Zuke Feng, Difan Yi +12

To validate key technologies for wide field-of-view (FOV) X-ray polarization measurements, the Cosmic X-ray Polarization Detector (CXPD) CubeSat series has been developed as a prot…

astro-ph.IM2024

StarWhisper Telescope: An AI framework for automating end-to-end astronomical observations

Cunshi Wang, Yu Zhang, Yuyang Li +25

The exponential growth of large-scale telescope arrays has boosted time-domain astronomy development but introduced operational bottlenecks, including labor-intensive observation p…