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, University of Notre Dame
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Results 1 - 6 of 6
MEASNet. I. A Model for Barium Star Identification and s-process Abundance Estimation from LAMOST DR10 Low-resolution Survey
Volume 19, Issue 41 - article #12
Shengjun Song
,
Xiaoming Kong
,
Yude Bu
,
Zhenping Yi
,
Meng Liu
The Astrophysical Journal
https://doi.org/10.3847/1538-4357/ad6b2c
Star Photometry for DECam Legacy Survey and Sloan Digital Sky Survey Images Based on Convolutional Neural Networks
Volume 18, Issue 41 - article #6
Zechao Yang
,
Meng Liu
,
Hao Yuan
,
Yude Bu
,
Zhenping Yi
,
Xiaoming Kong
,
Tianmin Wu
,
Ran Zhang
Astronomical Journal
https://doi.org/10.3847/1538-3881/acfeed
Estimating Stellar Parameters and Identifying Very Metal-poor Stars Using Convolutional Neural Networks for Low-resolution Spectra (R~200). (arXiv:2302.11198v1 [astro-ph.SR])
Volume 18, Issue 8 - article #4
Tianmin Wu
,
Yude Bu
,
Jianhang Xie
,
Junchao Liang
,
Wei Liu
,
Zhenping Yi
,
Xiaoming Kong
,
Meng Liu
http://arxiv.org/abs/2302.11198
Li-rich Giants Identified from LAMOST DR8 Low-resolution Survey
Volume 18, Issue 2 - article #6
Beichen Cai
,
Xiaoming Kong
,
Jianrong Shi
,
Qi Gao
,
Yude Bu
,
Zhenping Yi
Astronomical Journal
https://doi.org/10.3847/1538-3881/aca098
Searching for Barium Stars from the LAMOST Spectra Using the Machine-learning Method: I
Volume 18, Issue 2 - article #7
Fengyue Guo
,
Zhongding Cheng
,
Xiaoming Kong
,
Yatao Zhang
,
Yude Bu
,
Zhenping Yi
,
Bing Du
,
Jingchang Pan
Astronomical Journal
https://doi.org/10.3847/1538-3881/aca323
Searching for Barium Stars from the LAMOST Spectra Using the Machine Learning Method: I. (arXiv:2211.06777v1 [astro-ph.SR])
Volume 17, Issue 45 - article #3
Fengyue Guo
,
Zhongding Cheng
,
Xiaoming Kong
,
Yatao Zhang
,
Yude Bu
,
Zhenping Yi
,
Bing Du
,
Jingchang Pan
http://arxiv.org/abs/2211.06777
Results 1 - 6 of 6
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