Gang Li

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 9

Top Topics

Semantic Segmentation

Matrix Factorization

Damage Detection

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE J. Biomed. Health Informatics

Publications

Peng Peng, Yipu Zhang, Yongfeng Ju, Kaiming Wang, Gang Li, Vince D. Calhoun, Yu-Ping Wang
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Xuan Zheng, Shuailong Zhang, Xue Li, Gang Li, Xiyuan Li
Lightweight Bridge Crack Detection Method Based on SegNet and Bottleneck Depth-Separable Convolution With Residuals. IEEE Access 9 (2021)
Wenting Qiao, Biao Ma, Qiangwei Liu, Xiaoguang Wu, Gang Li
Computer Vision-Based Bridge Damage Detection Using Deep Convolutional Networks with Expectation Maximum Attention Module. Sensors 21 (3) (2021)
Wenting Qiao, Qiangwei Liu, Xiaoguang Wu, Biao Ma, Gang Li
Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module. Sensors 21 (9) (2021)
Yipu Zhang, Peng Peng, Yongfeng Ju, Gang Li, Vince D. Calhoun, Yu-Ping Wang
Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Gang Li, Depeng Han, Chao Wang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. Comput. Methods Programs Biomed. 183 (2020)
Gang Li, Chao Wang, Depeng Han, Yipu Zhang, Peng Peng, Vince D. Calhoun, Yu-Ping Wang
Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration. IEEE Access 8 (2020)
Gang Li, Jian Wan, Shuanhai He, Qiangwei Liu, Biao Ma
Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection. IEEE Access 8 (2020)
Gang Li, Biao Ma, Shuanhai He, Xueli Ren, Qiangwei Liu
Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique. Sensors 20 (3) (2020)