315 citations · 3.5k across the 66 of their papers we have counts for
66 papers
Tracing Halpha Fibrils through Bayesian Deep Learning
Haodi Jiang, Ju Jing, Jiasheng Wang +5
We present a new deep learning method, dubbed FibrilNet, for tracing chromospheric fibrils in Halpha images of solar observations. Our method consists of a data pre-processing comp…
Non-equilibrium Flux Rope Formation by Confined Flares Preceding a Solar Coronal Mass Ejection
Bernhard Kliem, Jeongwoo Lee, Rui Liu +3
We present evidence that a magnetic flux rope was formed before a coronal mass ejection (CME) and its associated long-duration flare during a pair of preceding confined eruptions a…
High-resolution Observations of Small-scale Flux Emergence by GST
Jiasheng Wang, Chang Liu, Wenda Cao +1
Recent observations demonstrated that emerging flux regions, which constitute the early stage of solar active regions, consist of emergence of numerous small-scale magnetic element…
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction
Yasser Abduallah, Jason T. L. Wang, Yang Nie +2
Solar flare prediction plays an important role in understanding and forecasting space weather. The main goal of the Helioseismic and Magnetic Imager (HMI), one of the instruments o…
Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning
Haodi Jiang, Jiasheng Wang, Chang Liu +4
Deep learning has drawn a lot of interest in recent years due to its effectiveness in processing big and complex observational data gathered from diverse instruments. Here we propo…
Heating and Eruption of a Solar Circular Ribbon Flare
Jeongwoo Lee, Judith T. Karpen, Chang Liu +1
We studied a circular-ribbon flare, SOL2014-12-17T04:51, with emphasis on its thermal evolution as determined by the Differential Emission Measure (DEM) inversion analysis of the e…