Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms. - Hongmin Cai; Qinjian Huang; Wentao Rong; Yan Song; Jiao Li; Jinhua Wang 002; Jiazhou Chen; Li Li 032 (Comput. Math. Methods Medicine, 2019)

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)

Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering. - Wentao Rong; Enhong Zhuo; Guihua Tao; Hongmin Cai (PAKDD (2), 2021)

Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold. - Wentao Rong; Enhong Zhuo; Hong Peng; Jiazhou Chen; Haiyan Wang 005; Chu Han; Hongmin Cai (Inf. Sci., 2021)

Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold. - Ali Alfatemi; Hong Peng; Wentao Rong; Bin Zhang 050; Hongmin Cai (BMC Medical Informatics Decis. Mak., 2022)

Cloud Removal for Optical Remote Sensing Imagery Using Distortion Coding Network Combined with Compound Loss Functions. - Jianjun Zhou; Xiaobo Luo; Wentao Rong; Hao Xu (Remote. Sens., 2022)

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)

Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping. - Jiazhou Chen; Wentao Rong; Guihua Tao; Hongmin Cai (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)