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20232026
most citedPeriodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way

11 citations · 12 across the 7 of their papers we have counts for

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astro-ph.IM2026

AstroSpecLM: A Spectrum-Language Model for Evidence-Grounded Astronomical Spectral Analysis

Jinghang Shi, Yanxia Zhang, Ali Luo +2

Astronomical spectra encode rich physical information, but drawing scientific conclusions from spectral features typically requires expert interpretation. This paper presents Astro…

astro-ph.IM2025

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…

astro-ph.IM2025

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…

astro-ph.IM2024

Mining double-line spectroscopic candidates in the LAMOST medium-resolution spectroscopic survey using human-AI hybrid method

Shan-shan Li, Chun-qian Li, Chang-hua Li +5

We utilize a hybrid approach that integrates the traditional cross-correlation function (CCF) and machine learning to detect spectroscopic multi-systems, specifically focusing on d…

astro-ph.IM2023★ 11 cited

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…