most citedIdentification of Strongly Lensed Gravitational Wave Events Using Squeeze-and-Excitation Multilayer Perceptron Data-efficient Image Transformer

3 citations · 3 across the 3 of their papers we have counts for

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astro-ph.IM2025

Identifying Microlensing by Compact Dark Matter through Diffraction Patterns in Gravitational Waves with Machine Learning

Ao Liu, Tonghua Liu, Dejiang Li +5

Gravitational wave lensing, particularly microlensing by compact dark matter (DM), offers a unique avenue to probe the nature of dark matter. However, conventional detection method…

astro-ph.IM2025★ 3 cited

Identification of Strongly Lensed Gravitational Wave Events Using Squeeze-and-Excitation Multilayer Perceptron Data-efficient Image Transformer

Dejiang Li, Tonghua Liu, Ao Liu +4

With the advancement of third-generation gravitational wave detectors, the identification of strongly lensed gravitational wave (GW) events is expected to play an increasingly vita…

astro-ph.IM2025

Physical parameter regression from black hole images via a multiscale adaptive neural network

Jialei Wei, Ao Liu, Dejiang Li +1

High-precision regression of physical parameters from black hole images generated by General Relativistic Ray Tracing (GRRT) is essential for investigating spacetime curvature and…