34 citations · 73 across the 12 of their papers we have counts for
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astro-ph.IM2025
Estimating stellar atmospheric parameters and elemental abundances using fully connected residual network
Shuo Li, Yin-Bi Li, A-Li Luo +3
Stellar atmospheric parameters and elemental abundances are traditionally determined using template matching techniques based on high-resolution spectra. However, these methods are…
astro-ph.IM2024★ 7 cited
Deep learning interpretability analysis for carbon star identification in Gaia DR3
Shuo Ye, Wen-Yuan Cui, Yin-Bi Li +2
Context. A large fraction of Asymptotic Giant Branch (AGB) stars develop carbon-rich atmospheres during their evolution. Based on their color and luminosity, these carbon stars can…
astro-ph.IM2018★ 23 cited
Analysis of Stellar Spectra from LAMOST DR5 with Generative Spectrum Networks
Wang Rui, Luo A-li, Zhang Shuo +9
In this study, the fundamental stellar atmospheric parameters (Teff, log g, [Fe/H] and [α/Fe]) were derived for low-resolution spectroscopy from LAMOST DR5 with Generative Spectrum…