scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis. - Zehao Xiong; Xiangtao Chen; Jiawei Luo 001; Cong Shen 002; Zhongyuan Xu (BIBM, 2022)

scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network. - Zhongyuan Xu; Jiawei Luo 001; Zehao Xiong (Bioinform., 2022)

scGCL: an imputation method for scRNA-seq data based on graph contrastive learning. - Zehao Xiong; Jiawei Luo 001; Wanwan Shi; Ying Liu 027; Zhongyuan Xu; Bo Wang (Bioinform., 2023)

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism. - Bo Wang; Jiawei Luo 001; Ying Liu 027; Wanwan Shi; Zehao Xiong; Cong Shen 002; Yahui Long (Briefings Bioinform., 2023)

scGADR: Dimensionality Reduction of Single-Cell RNA-seq Data with ZINB-Based Graph Attention Autoencoder. - Yongxuan Tang; Jiawei Luo 001; Zhongyuan Xu; Zehao Xiong; Bo Wang; Nguyen Hoang Tu (ICIC (LNBI 2), 2024)