Publications

First Author

Galmoss: A package for GPU-accelerated galaxy profile fitting

Co-Author

capivara: a spectral-based segmentation method for IFU data cubes
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
From images to features: unbiased morphology classification via variational auto-encoders and domain adaptation

capivara: a spectral-based segmentation method for IFU data cubes

This paper introduce We present capivara, a fast and scalable spectral-based segmentation package designed to study astrophysical properties within distinct structural components of galaxies. Published in Monthly Notices of the Royal Astronomical Society, 2025.

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.

Galmoss: A package for GPU-accelerated galaxy profile fitting

This paper introduce a two-dimensinal galaxy surface brightness fitting pacakge, which could be super fast under the accaleration of GPU. Published in the Astronomy and computing, 2024.

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.