A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction. - Kaiwen Tan; Weixian Huang; Jinlong Hu; Shoubin Dong (BMC Medical Informatics Decis. Mak., 2020)

A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (IEEE J. Biomed. Health Informatics, 2021)

A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu; Shoubin Dong (Artif. Intell. Medicine, 2022)

A Review of Fusion Methods for Omics and Imaging Data. - Weixian Huang; Kaiwen Tan; Ziye Zhang; Jinlong Hu; Shoubin Dong (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Fairing-PIA: progressive-iterative approximation for fairing curve and surface generation. - Yini Jiang; Hongwei Lin; Weixian Huang (Vis. Comput., 2024)

ADFusion: Multi-modal adaptive deep fusion for cancer subtype prediction. - Ziye Zhang; Weixian Huang; Shijin Wang; Kaiwen Tan; Xiaorou Zheng; Shoubin Dong (Inf. Fusion, 2025)

UltraADV: An Unsupervised Deep Learning Lightweight Framework for Anomaly Detection in V2X. - Weixian Huang; Hongyun Xu; Yujing Gong; Zhikang Liu; Feng Li; Zhihui Lin; Bin-Jie Hu (IEEE Internet Things J., 2025)