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20232026
most citedCSST Strong Lensing Preparation: Forecasting the galaxy-galaxy strong lensing population for the China Space Station Telescope

1 citations · 4 across the 10 of their papers we have counts for

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7 papers · 1 filter

astro-ph.GA2026

Reducing False Positives in Strong-Lens Searches with Generalized-Mean Consensus of Machine-Learning Ensembles in the Kilo-Degree Survey

Ziqi Li, Rui Li, Xu Huang +11

Context. In wide-field surveys, the main challenge is not just classifier sensitivity, but the overwhelming number of false positives. Searching for strong lenses among millions to…

astro-ph.GA2026★ 1 cited

LenNet: Direct Detection and Localization of Strong Gravitational Lenses in Wide-Field Sky Survey Images

Pufan Liu, Hui Li, Ziqi Li +9

Strong gravitational lenses are invaluable tools for addressing fundamental questions in astrophysics, from the nature of dark matter to the expansion of the universe. While curren…

astro-ph.GA2025★ 1 cited

Using Deep Learning Methods to Detect for Ultra-diffuse Galaxies in KiDS

Hao Su, Rui Li, Nicola R. Napolitano +13

Ultra-diffuse Galaxies (UDGs) are a subset of Low Surface Brightness Galaxies (LSBGs), showing mean effective surface brightness fainter than and a d…

astro-ph.GA2025

Automation of finding strong gravitational lenses in the Kilo Degree Survey with U-DenseLens (DenseLens + Segmentation)

Bharath Chowdhary Nagam, Léon V E Koopmans, Edwin A Valentijn +7

In the context of upcoming large-scale surveys like Euclid, the necessity for the automation of strong lens detection is essential. While existing machine learning pipelines heavil…

astro-ph.GA2024

Galaxy-Galaxy Strong Lensing with U-Net (GGSL-UNet). I. Extracting 2-Dimensional Information from Multi-Band Images in Ground and Space Observations

Fucheng Zhong, Ruibiao Luo, Nicola R. Napolitano +6

We present a novel deep learning method to separately extract the two-dimensional flux information of the foreground galaxy (deflector) and background system (source) of Galaxy-Gal…

astro-ph.GA2024

Using Convolutional Neural Networks to Search for Strongly Lensed Quasars in KiDS DR5

Zizhao He, Rui Li, Yiping Shu +13

Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, th…

astro-ph.GA2023★ 1 cited

CSST Strong Lensing Preparation: Forecasting the galaxy-galaxy strong lensing population for the China Space Station Telescope

Xiaoyue Cao, Ran Li, Nan Li +8

Galaxy-galaxy strong gravitational lensing (GGSL) is a powerful probe for the formation and evolution of galaxies and cosmology, while the sample size of GGSLs leads to considerabl…