activity
20112025
most citedCarbon stars identified from LAMOST DR4 using Machine Learning

66 citations · 569 across the 27 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

5 papers · 1 filter

astro-ph.GA2025★ 1 cited

Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration

Jun-Chao Liang, Yin-Bi Li, A-Li Luo +13

To enhance the efficiency, scalability, and cross-survey applicability of stellar parameter inference in large spectroscopic datasets, we present a modular, parallelized Python fra…

astro-ph.GA2023

The Stellar Abundances and Galactic Evolution Survey (SAGES) -- -- I. General Description and the First Data Release (DR1)

Zhou Fan, Gang Zhao, Wei Wang +35

The Stellar Abundances and Galactic Evolution Survey (SAGES) of the northern sky is a specifically-designed multi-band photometric survey aiming to provide reliable stellar paramet…

astro-ph.GA2019★ 27 cited

Bivariate Luminosity Function of Galaxy Pairs

Shuai Feng, Shi-Yin Shen, Fang-Ting Yuan +8

We measure the bivariate luminosity function (BLF) of galaxy pairs and use it to probe and characterize the galaxy-galaxy interaction between pair members. The galaxy pair sample i…

astro-ph.GA2018★ 15 cited

Testing Area of the SAGE Survey

Jie Zheng, Gang Zhao, Wei Wang +4

Sky survey is one of the most important motivations to improve the astrophysics development, especially when using new photometric bands. We are performing the SAGE (Stellar Abunda…

astro-ph.GA2018★ 40 cited

The Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) Quasar Survey: Quasar Properties from Data Release Two and Three

X. Y. Dong, Xue-Bing Wu, Y. L. Ai +19

This is the second installment for the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) Quasar Survey, which includes quasars observed from September 2013 to June…