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Author

Cun-Shi Wang

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Review Open access Sep 2026

A Comparative Study of Machine-Learning Methods for Early Classification from Sparse Astronomical Light Curves

The booming data volume of modern time-domain surveys demands fast, robust early classification of sparsely sampled light curves, as newly discovered transients typically have only a handful of observations. We compare classifiers for extremely sparse light curves (3–30 observations) on a benchmark of approximately 1.7...

Xue-Li Lin, Zi-Han Qian, Cun-Shi Wang et al. · 0 citations
Review Open access Aug 2026

Astronomical spectra as language: Order-agnostic foundation model for low-SNR reconstruction and stellar parameter prediction

Summary Large-scale spectroscopic surveys contain numerous low-SNR stellar spectra that are difficult to analyze with traditional pipelines but remain valuable for Galactic archaeology, chemical-evolution studies, and population-level stellar characterization. We propose an order-agnostic foundation model that represen...

Jia-Chen Xu, Xin Song, Yu-Yang Li et al. · 0 citations

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