Zhenping Yi
Shandong University
15 Papers
7 Citations
Zhenping Yi is an academic researcher from Shandong University. The author has contributed to research in topics: LAMOST & Computer science. The author has an hindex of 5, co-authored 6 publications. Previous affiliations of Zhenping Yi include Chinese Academy of Sciences.
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Papers
M Dwarf Catalog of the LAMOST Pilot Survey
Zhenping Yi,Zhenping Yi,A-Li Luo,Yi-Han Song,Jingkun Zhao,Zhixin Shi,Peng Wei,Juanjuan Ren,Fengfei Wang,Xiao Kong,Yin-Bi Li,Peng Du,Wen Hou,Yan-Xin Guo,Shuo Zhang,Yongheng Zhao,Shi-Wei Sun,Jingchang Pan,Liyun Zhang,Andrew A. West,Haibo Yuan +20 more
TL;DR: In this article, a spectroscopic catalog of 58,360 M dwarfs from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope pilot survey is presented, including spectral subtypes, radial velocity, Hα equivalent width, a number of prominent molecular band indices, and the metal-sensitive parameter ζ.
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Estimation of Stellar Atmospheric Parameters with Light Gradient Boosting Machine Algorithm and Principal Component Analysis
TL;DR: Zhang et al. as mentioned in this paper proposed a new method to estimate stellar atmospheric parameters with photometric data, which is based on principal component analysis (PCA) and light gradient boosting machine (LightGBM) algorithms.
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Mining unusual and rare stellar spectra from large spectroscopic survey data sets using the outlier-detection method
Peng Wei,A-Li Luo,A-Li Luo,Yin-Bi Li,Jingchang Pan,Liang-Ping Tu,Liang-Ping Tu,Bin Jiang,Bin Jiang,Xiao Kong,Zhixin Shi,Zhenping Yi,Zhenping Yi,Fengfei Wang,Jie Liu,Yong-Heng Zhao +15 more
28
Automatic detection of low surface brightness galaxies from SDSS images
Zhenping Yi,Jia Li,Wei Du,Meng Liu,Zengxu Liang,Yongguang Xing,J. Pan,Yude Bu,Xiaoming Kong,Hong-Shu Wu +9 more
TL;DR: In this paper , a data-driven model for end-to-end detection of low surface brightness (LSB) galaxies from SDSS images is proposed. And the results show that the LSBG-AD model learns the features of LSB galaxies of the training samples well, and can be used to search LSB galaxy without using photometric parameters.
Li-rich Giants Identified from LAMOST DR8 Low-resolution Survey
TL;DR: In this paper , a modified convolutional neural network model called Coord-DenseNet was proposed to determine the A(Li) of Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) low-resolution survey (LRS) giant spectra.
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