LI, Changhua
National Astronomical Observatories, Chinese Academy of Sciences
Email: lich@nao.cas.cn
Address: 20A Datun Road, Chaoyang District, Beijing, China
PostCode: 100101
Research Areas
Publications
Papers
[1] Shirui Wei, Changhua Li[*], Yanxia Zhang, Chenzhou Cui, etc. Photometric redshift estimation for emission line galaxies of DESI Legacy Imaging Surveys by CNN-MLP, PASA 2025, doi:10.1017/pasa.2025.10056.
[2] Xingyu Yang, Changhua Li[*], Yanxia Zhang, Chenzhou Cui, etc. Quasar candidate selection and redshift estimation using J-PLUS DR3 data, MNRAS. 2025, https://doi.org/10.1093/mnras/staf1427.
[3] Xiangyao Ma, Yanxia Zhang, Jingyi Zhang, Changhua Li[*], Zihan Kang, Ji Li. Search for Young Stellar Objects within 4XMM-DR13 Using CatBoost and SPE. THE ASTRONOMICAL JOURNAL[J]. 2024, 168(5): https://doaj.org/article/8921be7a3c3b4298b5bd617a7f863b32.
[4] Changhua Li, Yanxia Zhang, Chenzhou Cui etc. A Photometric Redshift Catalogue of Galaxies from the DESI Legacy Imaging Surveys DR10. ASTRONOMICAL JOURNAL[J]. 2024, 168(233): https://iopscience.iop.org/article/10.3847/1538-3881/ad7c52.
[5] Li, Changhua. Photometric redshift restimation of galaxies in the DESI Legacy Imaging Surveys. Monthly Notices of the Royal Astronomical Society[J]. 2023.
[6] Li, Changhua, Zhang, Yanxia, Cui, Chenzhou, Fan, Dongwei, Zhao, Yongheng, Wu, XueBing, Zhang, JingYi, Han, Jun, Xu, Yunfei, Tao, Yihan, Li, Shanshan, He, Boliang. Photometric Redshift Estimation of BASS DR3 Quasars by Machine Learning. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY[J]. 2022, http://arxiv.org/abs/2110.14951.
[7] Li, Changhua, Zhang, Yanxia, Cui, Chenzhou, Fan, Dongwei, Zhao, Yongheng, Wu, XueBing, He, Boliang, Xu, Yunfei, Li, Shanshan, Han, Jun, Tao, Yihan, Mi, Linying, Yang, Hanxi, Yang, Sisi. Identification of BASS DR3 sources as stars, galaxies, and quasars by XGBoost. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY[J]. 2021, 506(2): 1651-1664, http://dx.doi.org/10.1093/mnras/stab1650.
[8] Shan-shan Li, Chun-qian Li, Chang-hua Li, Dong-wei Fan, Yun-fei Xu, Lin-ying Mi, Chen-zhou Cui, Jian-rong Shi. Mining double-line spectroscopic candidates in the LAMOST medium-resolution spectroscopic survey using human-AI hybrid method. Astrophysical Journal Supplement Series[J]. 2025
[9] Zhang, J Y, Zhang, Y X, Kang, Z H, Li, C H, Zhao, Y H. Young stellar objects from the LAMOST and ZTF surveys: Physical properties, classification, and light curve analysis. ASTRONOMY & ASTROPHYSICS[J]. 2024, 686: http://dx.doi.org/10.1051/0004-6361/202349114.
[10] Kang, Zihan, Zhang, Yanxia, Zhang, Jingyi, Li, Changhua, Kong, Minzhi, Zhao, Yongheng, Wu, XueBing. Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC[J]. 2023, 135(1051): http://dx.doi.org/10.1088/1538-3873/acf15e.
[11] Jingyi Zhang, Yanxia Zhang, Zihan Kang, Changhua Li, Yongheng Zhao. A Catalog of Young Stellar Objects from the LAMOST and ZTF Surveys. THE ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES[J]. 2023, 267(1): https://doaj.org/article/cb28d43676ea4dc1bd97e70f7110a66e.
[12] Xu, Y, Cui, C, Fan, D, Li, S, Li, C, Han, J, Mi, L, He, B, Yang, H, Tao, Y, Yang, S, He, L. IVOA HiPS implementation in the framework of WorldWide Telescope. ASTRONOMY AND COMPUTING[J]. 2020, 31: http://dx.doi.org/10.1016/j.ascom.2020.100380.
[13] Xu, Yunfei, Xu, Dong, Cui, Chenzhou, Fan, Dongwei, Zhu, Zipei, Yu, Bangyao, Li, Changhua, Han, Jun, Mi, Linying, Li, Shanshan, He, Boliang, Tao, Yihan, Yang, Hanxi, Yang, Sisi. GWOPS: A VO-technology Driven Tool to Search for the Electromagnetic Counterpart of Gravitational Wave Event. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC[J]. 2020, 132(1016): http://dx.doi.org/10.1088/1538-3873/aba69f.
[14] Cui, C, Tao, Y, Li, C, Fan, D, Xiao, J, He, B, Li, S, Yu, C, Mi, L, Xu, Y, Han, J, Yang, S, Zhao, Y, Xue, Y, Hao, J, Liu, L, Chen, X, Chen, J, Zhang, H. Towards an astronomical science platform: Experiences and lessons learned from Chinese Virtual Observatory. ASTRONOMY AND COMPUTING[J]. 2020, 32: http://dx.doi.org/10.1016/j.ascom.2020.100392.