Xinyi Wei — accepted AI-conference papers

2025

Deep Unfolding Using Score-based Generative Networks for Automotive Radar Interference Mitigation

Xinyi Wei, Jihwan Youn, Jeroen Overdevest, Jun Li, Satish Ravindran, Ruud J. G. van Sloun

ICASSP 2025accepted

Automotive frequency-modulated continuous wave (FMCW) radars, essential in Advanced Driver Assistance Systems, encounter mutual interference issues that degrade their detection capabilities. Model-based algorithms, though widely used, rely heavily on predetermined assumptions about the statistical p…

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2022

Image Denoising with Deep Unfolding And Normalizing Flows

Xinyi Wei, Hans Van Gorp, Lizeth Gonzalez-Carabarin, Daniel Freedman, Yonina C. Eldar, Ruud J. G. van Sloun

ICASSP 2022accepted

Many application domains, spanning from low-level computer vision to medical imaging, require high-fidelity images from noisy measurements. State-of-the-art methods for solving denoising problems combine deep learning with iterative model-based solvers, a concept known as deep algorithm unfolding or…

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