From images to features: unbiased morphology classification via variational auto-encoders and domain adaptation
Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
Galaxy Morphology, AI for astronomy.
2022- COIN: The Cosmostatistics Initiative
2022 Outstanding Graduates, by Xi’an University of Science and Technology
PyTorch, scikit-learn, python, CNN, Vision Transformer
Principal Investigator Detail morphology classification by deep learning (ongoing) In order to present the future CSST, Euclid, and other large survey telescope, I explore the deep learning method for classifying detailed morphology of DESI Legacy Imaging Survey Bright Galaxy Sample.
Co-investigator
Missing Data Imputation via GAN We present a model based on GAN to impute missing data in astronomical tabulate data.
From Images to Features: Unbiased Morphology Classification via VAE and DA We present a VAE and domain adaptation (DA), which can be applied to dimensionality reduction, defect image identification, and morphology classification in large optical surveys.
Astronomical Society of the University of Chinese Academy of Sciences Head of the Observation Department(2022-2023), Chief Maintainer of the 70cm telescope(2022-2023)
Shanghai Astronomical Observatory Technical Innovation Workstation Leader (2023) of Group Hubble’s Law – Teaching high school student the background and usage of Hubble’s Law
Shiyin Shen Shanghai Astronomical Observatory, CAS
Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
B. Sicardy. (2023). "Paper Title Number 2." Astronomy & Astrophysics. 1(2).
Mi Chen. (2023). "Paper GalMOSS Number 3." Journal 1. 1(3).
Renhao Ye. (2024). "Paper Title Number 2." Journal 1. 1(2).