45 citations · 90 across the 12 of their papers we have counts for
7 papers · 1 filter
A Catalogue of Mid-infrared Variable Sources from unTimely
Zihan kang, Jingyi Zhang, Yanxia Zhang +6
The WISE and NEOWISE missions have provided the only mid-infrared all-sky time-domain data, opening a unique observational window for variability studies. Yet, a comprehensive and…
Photometric redshift estimation for emission line galaxies of DESI Legacy Imaging Surveys by CNN-MLP
Shirui Wei, Changhua Li, Yanxia Zhang +13
Emission Line Galaxies (ELGs) are crucial for cosmological studies, particularly in understanding the large-scale structure of the Universe and the role of dark energy. ELGs form a…
Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way
Zihan Kang, Yanxia Zhang, Jingyi Zhang +4
Time-domain astronomy is progressing rapidly with the ongoing and upcoming large-scale photometric sky surveys led by the Vera C. Rubin Observatory project (LSST). Billions of vari…
Photometric Redshift Estimation of BASS DR3 Quasars by Machine Learning
Changhua Li, Yanxia Zhang, Chenzhou Cui +9
Correlating BASS DR3 catalogue with ALLWISE database, the data from optical and infrared information are obtained. The quasars from SDSS are taken as training and test samples whil…
A New Strategy for Estimating Photometric Redshifts of Quasars
Yanxia Zhang, Jingyi Zhang, Xin Jin +1
Based on the SDSS and SDSS-WISE quasar datasets, we put forward two schemes to estimate the photometric redshifts of quasars. Our schemes are based on the idea that the samples are…
Efficient Selection of Quasar Candidates Based on Optical and Infrared Photometric Data Using Machine Learning
Xin Jin, Yanxia Zhang, Jingyi Zhang +3
We aim to select quasar candidates based on the two large survey databases, Pan-STARRS and AllWISE. Exploring the distribution of quasars and stars in the color spaces, we find tha…
Imbalanced learning for RR Lyrae stars
Jingyi Zhang, Yanxia Zhang, Yongheng Zhao
We apply machine learning and Convex-Hull algorithms to separate RR Lyrae stars from other stars, like main sequence stars, white dwarf stars, carbon stars, CVs and carbon-lines st…