Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection. - Gang Li 029; Jian Wan 003; Shuanhai He; Qiangwei Liu; Biao Ma (IEEE Access, 2020)

Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration. - Gang Li 029; Chao Wang 042; Depeng Han; Yipu Zhang; Peng Peng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Access, 2020)

Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. - Gang Li 029; Depeng Han; Chao Wang 042; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (Comput. Methods Programs Biomed., 2020)

Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique. - Gang Li 029; Biao Ma; Shuanhai He; Xueli Ren; Qiangwei Liu (Sensors, 2020)

Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity. - Yipu Zhang; Peng Peng; Yongfeng Ju; Gang Li 029; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2020)

Lightweight Bridge Crack Detection Method Based on SegNet and Bottleneck Depth-Separable Convolution With Residuals. - Xuan Zheng; Shuailong Zhang; Xue Li; Gang Li 029; Xiyuan Li (IEEE Access, 2021)

Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module. - Wenting Qiao; Qiangwei Liu; Xiaoguang Wu; Biao Ma; Gang Li 029 (Sensors, 2021)

Computer Vision-Based Bridge Damage Detection Using Deep Convolutional Networks with Expectation Maximum Attention Module. - Wenting Qiao; Biao Ma; Qiangwei Liu; Xiaoguang Wu; Gang Li 029 (Sensors, 2021)

Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis. - Peng Peng; Yipu Zhang; Yongfeng Ju; Kaiming Wang; Gang Li 029; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)