2 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
JW-SSD: A Multimodal Benchmark Dataset for Fine-Grained Sunspot Classification
Hui Wang, Mingfu Shao, Luyang Li +4
Accurate sunspot classification is essential for assessing the eruptive potential of solar active regions and forecasting space weather. We present JW-SSD, a high-quality multimoda…
JW-VL: A Vision-Language Model for Solar Physics
Mingfu Shao, Hui Wang, Liyue Tong +7
Vision-Language Models (VLMs) have achieved breakthrough progress in general knowledge domains, yet adaptation to specialized scientific fields remains challenging due to multimoda…
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…
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…