24 citations · 66 across the 11 of their papers we have counts for
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astro-ph.SR2022★ 17 cited
Identify 46 New Open Clusters Candidates In Gaia EDR3 Using pyUPMASK and Random Forest Hybrid Method
Huanbin Chi, Shoulin Wei, Feng Wang +1
Open clusters (OCs) are regarded as tracers to understand stellar evolution theory and validate stellar models. In this study, we presented a robust approach to identifying OCs. A…
astro-ph.GA2022★ 24 cited
Unsupervised Galaxy Morphological Visual Representation with Deep Contrastive Learning
Shoulin Wei, Yadi Li, Wei Lu +4
Galaxy morphology reflects structural properties which contribute to understand the formation and evolution of galaxies. Deep convolutional networks have proven to be very successf…
astro-ph.IM2022
RFI Identification Based On Deep-Learning]{A Robust RFI Identification For Radio Interferometry based on a Convolutional Neural Network
Haomin Sun, Hui Deng, Feng Wang +5
The rapid development of new generation radio interferometers such as the Square Kilometer Array (SKA) has opened up unprecedented opportunities for astronomical research. However,…