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Ruoqi Wang

2 accepted papers

2025

VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy

AAAI 2025technical

Radio telescopes produce visibility data about celestial objects, but these data are sparse and noisy. As a result, images created on raw visibility data are of low quality. Recent studies have used deep learning models to reconstruct visibility data to get cleaner images. However, these methods rel…

2024

PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates

CVPR 2024poster

In radio astronomy visibility data which are measurements of wave signals from radio telescopes are transformed into images for observation of distant celestial objects. However these resultant images usually contain both real sources and artifacts due to signal sparsity and other factors. One way t…