GitHub: https://github.com/shu-hai

• CDPA: Common and distinctive pattern analysis between high-dimensional datasets [paper]
• D-CCA: A decomposition-based canonical correlation analysis for high-dimensional datasets [paper]
• D-GCCA: Decomposition-based generalized canonical correlation analysis for multi-view high-dimensional data [paper]
• FDRhmrf: A FDR controlling procedure based on hidden Markov random field [paper]
• DeepFDR: DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data [paper]
• SA_DNN: Sensitivity analysis of deep neural networks [paper]
  
• mFI-PSO: A flexible and effective method in adversarial image generation for deep neural networks [paper]
• XGBoost-DL: A XGBoost-based ensemble method that combines deep learning models for sunspot number prediction [paper]
• 2SCM-VAAG: A two-stage cascade model with variational autoencoders and attention gates for MRI brain tumor segmentation [paper]
• BiTr-Unet: A CNN-Transformer combined network for MRI brain tumor segmentation [paper]