Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. - Qinjian Huang; Yue Zhang 045; Hong Peng; Tingting Dan; Wanlin Weng; Hongmin Cai (Neurocomputing, 2020)

Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures. - Wanlin Weng; Weiwei Zhou; Jiazhou Chen; Hong Peng; Hongmin Cai (Neurocomputing, 2020)

Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. - Guihua Tao; Wentao Rong; Wanlin Weng; Tingting Dan; Bin Zhang 050; Hongmin Cai (ICANN (2), 2021)

Methods of privacy-preserving genomic sequencing data alignments. - Dandan Lu; Yue Zhang 045; Ling Zhang; Haiyan Wang 005; Wanlin Weng; Li Li; Hongmin Cai (Briefings Bioinform., 2021)

Survey and comparative assessments of computational multi-omics integrative methods with multiple regulatory networks identifying distinct tumor compositions across pan-cancer data sets. - Zhuohui Wei; Yue Zhang 045; Wanlin Weng; Jiazhou Chen; Hongmin Cai (Briefings Bioinform., 2021)

Fast and Accurate Clustering of Multiple Modality Data via Feature Matching. - Bin Zhang 050; Hongmin Cai; Jiazhou Chen; Yu Hu 004; Jie Huang; Wentao Rong; Wanlin Weng; Qinjian Huang; Haiyan Wang 005; Hong Peng (IEEE Trans. Cybern., 2022)

Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. - Junyu Li 001; Jiazhou Chen; Fei Qi 007; Tingting Dan; Wanlin Weng; Bin Zhang 050; Haoliang Yuan; Hongmin Cai; Cheng Zhong (IEEE Trans. Cybern., 2023)