activity
20202025
most citedData mining techniques on astronomical spectra data. II : Classification Analysis

37 citations · 94 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Sky Background Building of Multi-objective Fiber spectra Based on Mutual Information Network

Hui Zhang, Jianghui Cai, Haifeng Yang +6

Sky background subtraction is a critical step in Multi-objective Fiber spectra process. However, current subtraction relies mainly on sky fiber spectra to build Super Sky. These av…

astro-ph.IM2023★ 17 cited

An in-depth exploration of LAMOST Unknown spectra based on density clustering

Haifeng Yang, Xiaona Yin, Jianghui Cai +6

LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) has completed the observation of nearly 20 million celestial objects, including a class of spectra labeled `Unkno…

astro-ph.IM2022★ 37 cited

Data mining techniques on astronomical spectra data. II : Classification Analysis

Haifeng Yang, Lichan Zhou, Jianghui Cai +5

Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of spectral surveys, a variety of classification…

astro-ph.IM2022★ 32 cited

Data mining techniques on astronomical spectra data. I : Clustering Analysis

Haifeng Yang, Chenhui Shi, Jianghui Cai +5

Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many clustering methods ha…

astro-ph.IM2020★ 8 cited

SVM-Lattice: A Recognition & Evaluation Frame for Double-peaked Profiles

Haifeng Yang, Caixia Qu, Jianghui Cai +2

In big data era, the special data with rare characteristics may be of great significations. However, it is very difficult to automatically search these samples from the massive and…