Research Papers

• A U-Net Based Method for Radio Astronomical Image Deconvolution

  Xinghui Zhou, Qianyun Yun, Hui Deng, Yangfan Xie, Yijun Xu, Feng Wang and Ying Mei

  104001

• Enhanced Zenith Tropospheric Delay Forecasting Using a Hybrid GRU-LSTM Deep Learning Model

  Ming-Shuai Li, Yu Li, Na Wang, Lang Cui, Ming Zhang, Jian Li and Xue-Feng Duan

  104002

• DeepAP: Deep Learning-based Aperture Photometry Feasibility Assessment and Aperture Size Prediction

  Zheng-Jun Du, Qing-Quan Li, Yi-Cheng Rui, Yu-Li Liu, Yu-Ting Wu, Dong Li, Bing-Feng Seng, Yi-Fan Xuan and Fa-Bo Feng

  104003

• Deep Learning to Classify Exoplanet Light Curves in Kepler and TESS

  Dapeng Xie, Ying Wang, Fuyao Liu and Wei Sun

  104004

• Semi-supervised Learning for Galaxy Morphology Classification Based on Diversity Enhancement and Uncertainty Estimation

  Zushou Chen, Zhen Xu and Weibin Chen

  104005

• Cycle-CNN: A Method for Measuring Stellar Atmospheric Parameters from Low-resolution and Low-SNR LAMOST Spectra

  Ming-Lei Wu, Yuan Liu and Yu-De Bu

  104006

• Enhancing Stellar Spectra with Diffusion Probabilistic Models: A Novel Approach to Denoising Low SNR Astronomical Data

  Jingzhen Sun, Yude Bu, Jiangchuan Zhang, Mengmeng Zhang, Shanshan Li, Ke Wang, Yuhang Zhang, Zhenping Yi, Xiaoming Kong, Meng Liu and Minglei Wu

  104007

• The Discovery of New Hot Subdwarf Stars in LAMOST DR12

  Yuhang Zhang, Jiangchuan Zhang, Yude Bu, Zhenxin Lei, Beining Yang, Ke Wang, Jingzhen Sun, Qinqin Li, Siqi Wang, Mengmeng Zhang, Shanshan Li, Zhenping Yi, Xiaoming Kong and Meng Liu

  104008