Galaxies: Bar

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption

This paper introduce an unsupervised domain adaptation (UDA) method that fine-tunes a source domain model trained on DECaLS images with GZD-5 labels to BMz images, aiming to reduce bias in galaxy morphology classification within the BMz survey. Published in Monthly Notices of the Royal Astronomical Society, 2025.

From images to features: unbiased morphology classification via variational auto-encoders and domain adaptation

This paper introduce a two-dimensinal galaxy surface brightness fitting pacakge, which could be super fast under the accaleration of GPU. Published in Monthly Notices of the Royal Astronomical Society, 2023.