24 citations · 66 across the 11 of their papers we have counts for
11 papers
Radio Frequency Interference Detection Using Efficient Multi-Scale Convolutional Attention UNet
Fei Gu, Longfei Hao, Bo Liang +6
Studying the universe through radio telescope observation is crucial. However, radio telescopes capture not only signals from the universe but also various interfering signals, kno…
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…
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…
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,…
An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework
Ying Mei, Shoulin Wei, Feng Wang +7
The Square Kilometre Array (SKA) project is an international cooperation project to build the largest radio telescope worldwide. Data processing is one of the biggest challenges of…
Enhanced Remote Astronomical Archive System Based on the File-Level Unlimited Sliding-Window Technique
Cong-Ming Shi, Hui Deng, Feng Wang +6
Data archiving is one of the most critical issues for modern astronomical observations. With the development of a new generation of radio telescopes, the transfer and archiving of…