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ORCIDGang Li 0029
Person information
- affiliation: Chang'an University, Department of Automation, School of Electronics and Control Engineering / MoE Key Laboratory of Road Construction Technology and Equipment, Xi'an, China
Other persons with the same name
- Gang Li — disambiguation page
- Gang Li 0001
![[0000-0001-9585-1382]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9585-1382")
— University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA (and 1 more) - Gang Li 0002 — Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, China
- Gang Li 0003 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Gang Li 0004 — Hong Kong Baptist University, Kowloon Tong, Hong Kong (and 1 more)
- Gang Li 0005 — Harbin Institute of Technology, Department of Management Science and Engineering, Nangang, China (and 1 more)
- Gang Li 0006 — GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Germany (and 1 more)
- Gang Li 0007 — University of California at Los Angeles, Department of Biostatistics, School of Public Health, CA, USA
- Gang Li 0008 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Gang Li 0009 — Deakin University, School of Information Technology, TULIP Lab, Melbourne, Australia
- Gang Li 0010 — Zhejiang University of Science and Technology, School of Automation and Electrical Engineering, Hangzhou, China (and 2 more)
- Gang Li 0011 — University of Glasgow, School of Psychology and Neuroscience, UK (and 2 more)
- Gang Li 0012 — Microsoft Research Asia, Beijing, China
- Gang Li 0013 — Zhejiang Normal University, College of Engineering, China
- Gang Li 0014 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Gang Li 0015 — Shanghai Jiao Tong University, China (and 1 more)
- Gang Li 0016 — Chinese University of Hong Kong, Hong Kong
- Gang Li 0017 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, State Key Laboratory of Precision Measurement Technology and Instrument, China
- Gang Li 0018 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA (and 1 more)
- Gang Li 0019 — Xi'an Jiaotong University, School of Management, State Key Lab for Manufacturing Systems Engineering / Moe State Key Lab for Process Control & Efficiency Engineering, China
- Gang Li 0020 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Gang Li 0021 — Google Research, Mountain View, CA, USA (and 1 more)
- Gang Li 0022 — Qingdao University, School of Mathematics and Statistics, China
- Gang Li 0023 — University of Electronic Science and Technology of China, School of Information and Communications Engineering, Chengdu, China
- Gang Li 0024 — ShanghaiTech University, School of Physical Science and Technology, China (and 1 more)
- Gang Li 0025 — Chang'an University, School of Information Engineering, Xi'an, China
- Gang Li 0026 — Shandong University of Traditional Chinese Medicine, First Clinical Medical School, China
- Gang Li 0027 — Beijing University of Posts and Telecommunications, School of Economics and Management, China
- Gang Li 0028 — University of Manitoba, Department of Electrical and Computer Engineering, Winnipeg, MB, Canada (and 2 more)
- Gang Li 0030 — University of Science and Technology of China, CAS Key Laboratory of Electromagnetic Space Information, Hefei, China
- Gang Li 0031 — Jilin University, Changchun, China (and 1 more)
- Gang Li 0032 — Nanjing University of Information Science and Technology, School of Marine Sciences, China
- Gang Li 0033 — Xinjiang Vocational and Technical College of Communications, Ürümqi, China
- Gang Li 0034 — University of Washington at Seattle, Department of Genome Sciences, WA, USA (and 1 more)
- Gang Li 0036 — University of Alberta, Advanced Control Systems Laboratory, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Gang Li 0037 — Qilu University of Technology, School of Mathematics and Statistics, Shandong Academy of Sciences, Jinan, China
- Gang Li 0038 — Wenzhou University, College of Electrical and Electronic Engineering, China (and 1 more)
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Journal Articles
- 2022
[j9]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): 479-490 (2022)- 2021
- [j8]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: 161649-161668 (2021) - [j7]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): 824 (2021) - [j6]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): 2902 (2021) - 2020
- [j5]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: 20093-20107 (2020) - [j4]Gang Li, Jian Wan, Shuanhai He, Qiangwei Liu, Biao Ma:
Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection. IEEE Access 8: 51446-51459 (2020) - [j3]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) - [j2]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): 717 (2020) - [j1]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): 2621-2629 (2020)
Coauthor Index
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last updated on 2024-09-07 02:00 CEST by the dblp team
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