36 citations · 174 across the 17 of their papers we have counts for
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astro-ph.IM2020★ 14 cited
Pulsar Candidate Sifting Using Multi-input Convolution Neural Networks
Haitao Lin, Xiangru Li, Qingguo Zeng
Pulsar candidate sifting is an essential process for discovering new pulsars. It aims to search for the most promising pulsar candidates from an all-sky survey, such as High Time R…
astro-ph.IM2020★ 36 cited
Concat Convolutional Neural Network for Pulsar Candidate Selection
Qingguo Zeng, Xiangru Li, Haitao Lin
Pulsar searching is essential for the scientific research in the field of physics and astrophysics. As the development of the radio telescope, the exploding volume and it growth sp…
astro-ph.IM2020★ 22 cited
Pulsars Detection by Machine Learning with Very Few Features
Haitao Lin, Xiangru Li, Ziying Luo
It is an active topic to investigate the schemes based on machine learning (ML) methods for detecting pulsars as the data volume growing exponentially in modern surveys. To improve…