activity
20162024
most citedUnsupervised Galaxy Morphological Visual Representation with Deep Contrastive Learning

24 citations · 66 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.IM2024★ 10 cited

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…

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,…

astro-ph.IM2021

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…

astro-ph.IM2021★ 2 cited

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…

astro-ph.IM2020★ 1 cited

Fine-grained Distributed Averaging for Large-scale Radio Interferometric Measurement Sets

Shoulin Wei, Kaida Luo, Feng Wang +2

The Square Kilometer Array (SKA) would be the world's largest radio telescope with eventually over a square kilometer of collecting area. However, there are enormous challenges in…

astro-ph.IM2018★ 2 cited

LAMOST CCD camera-control system based on RTS2

Yuan Tian, Zheng Wang, Jian Li +4

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) is the largest existing spectroscopic survey telescope, having 32 scientific charge-coupled-device (CCD) came…

astro-ph.IM2017★ 2 cited

High Performance Negative Database for Massive Data Management System of The Mingantu Spectral Radioheliograph

Congming Shi, Feng Wang, Hui Deng +3

As a dedicated synthetic aperture radio interferometer, the MingantU SpEctral Radioheliograph (MUSER), initially known as the Chinese Spectral RadioHeliograph (CSRH), has entered t…

astro-ph.IM2017★ 8 cited

OpenCluster: A Flexible Distributed Computing Framework for Astronomical Data Processing

Shoulin Wei, Feng Wang, Hui Deng +7

The volume of data generated by modern astronomical telescopes is extremely large and rapidly growing. However, current high-performance data processing architectures/frameworks ar…

astro-ph.IM2016

Low-cost high performance distributed data storage for multi-channel observations

Ying-bo Liu, Feng Wang, Hui Deng +5

The New Vacuum Solar Telescope (NVST) is a 1-m solar telescope that aims to observe the fine structures in both the photosphere and the chromosphere of the Sun. The observational d…