DAE-TPGM: A deep autoencoder network based on a two-part-gamma model for analyzing single-cell RNA-seq data. - Shuchang Zhao; Li Zhang; Xuejun Liu (Comput. Biol. Medicine, 2022)

AE-TPGG: a novel autoencoder-based approach for single-cell RNA-seq data imputation and dimensionality reduction. - Shuchang Zhao; Li Zhang; Xuejun Liu (Frontiers Comput. Sci., 2023)

An Automatic Privacy-Aware Framework for Text Data in Online Social Network Based on a Multi-Deep Learning Model. - Gan Liu; Xiongtao Sun; Yiran Li; Hui Li 006; Shuchang Zhao; Zhen Guo (Int. J. Intell. Syst., 2023)

Representation Auto-fused NMF based Hierarchical Clustering. - Yunxia Lin; Haoyu Hu; Bentian Li; Shuchang Zhao; Hengchang Jing (Expert Syst. Appl., 2025)

Distribution-Aware Multi-Attention Tri-branch Networks with Feedforward Differential Features for semi-supervised medical image segmentation. - Peilian Shi; Shuchang Zhao; Lin Guo; Dandan Wang; Shiqing Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Guoyu Wang; Hongsheng Lu; Jun Yu 002 (Expert Syst. Appl., 2025)

Multi-Scale Group Agent Attention-Based Graph Convolutional Decoding Networks for 2D Medical Image Segmentation. - Zhichao Wang; Lin Guo; Shuchang Zhao; Shiqing Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Guoyu Wang; Hongsheng Lu; Jun Yu 002; Qi Tian 001 (IEEE J. Biomed. Health Informatics, 2025)