24 citations · 97 across the 20 of their papers we have counts for
5 papers · 1 filter
Se-ResNet+SVM model: an effective method of searching for hot subdwarfs from LAMOST
Cheng Zhongding, Kong xiaoming, Wu Tianmin +5
In this paper, we apply the feature-integration idea to fuse the abstract features extracted by Se-ResNet with experience features into hybrid features and input the hybrid feature…
Identifying hot subdwarf stars from photometric data using Gaussian mixture model and graph neural network
Wei Liu, Yude Bu, Xiaoming Kong +2
Hot subdwarf stars are very important for understanding stellar evolution, stellar astrophysics, and binary star systems. Identifying more such stars can help us better understand…
Searching for Barium Stars from the LAMOST Spectra Using the Machine Learning Method: I
Fengyue Guo, Zhongding Cheng, Xiaoming Kong +5
Barium stars are chemically peculiar stars that exhibit enhancement of s-process elements. Chemical abundance analysis of barium stars can provide crucial clues for the study of th…
Li-rich Giants Identified from LAMOST DR8 Low-Resolution Survey
BeiChen Cai, XiaoMing Kong, JianRong Shi +3
A small fraction of giants possess photospheric lithium(Li) abundance higher than the value predicted by the standard stellar evolution models, and the detailed mechanisms of Li en…
Automatic detection of low surface brightness galaxies from SDSS images
Zhenping Yi, Jia Li, Wei Du +7
Low surface brightness (LSB) galaxies are galaxies with central surface brightness fainter than the night sky. Due to the faint nature of LSB galaxies and the comparable sky backgr…