31 citations · 65 across the 4 of their papers we have counts for
4 papers
Identifying eclipsing binary stars with TESS data based on a new hybrid deep learning model
Ying Shan, Jing Chen, Zichong Zhang +3
Eclipsing binary systems (EBs), as foundational objects in stellar astrophysics, have garnered significant attention in recent years. These systems exhibit periodic decreases in li…
PhotoRedshift-MML: a multimodal machine learning method for estimating photometric redshifts of quasars
Shuxin Hong, Zhiqiang Zou, A-Li Luo +3
We propose a Multimodal Machine Learning method for estimating the Photometric Redshifts of quasars (PhotoRedshift-MML for short), which has long been the subject of many investiga…
Identifying outliers in astronomical images with unsupervised machine learning
Yang Han, Zhiqiang Zou, Nan Li +1
Astronomical outliers, such as unusual, rare or unknown types of astronomical objects or phenomena, constantly lead to the discovery of genuinely unforeseen knowledge in astronomy.…
Classifying Galaxy Morphologies with Few-Shot Learning
Zhirui Zhang, Zhiqiang Zou, Nan Li +1
The taxonomy of galaxy morphology is critical in astrophysics as the morphological properties are powerful tracers of galaxy evolution. With the upcoming Large-scale Imaging Survey…