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ORCIDDi Wang 0027
Person information
- affiliation: Tianjin University of Science and Technology, School of Electronic Information and Automation, China
Other persons with the same name
- Di Wang — disambiguation page
- Di Wang 0001 — Khalifa University, EBTIC, Abu Dhabi, UAE (and 2 more)
- Di Wang 0002 — Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, Boca Raton, FL, USA
- Di Wang 0003
![[0000-0001-8003-9738]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8003-9738")
— Microsoft Research, Redmond, WA, USA (and 1 more) - Di Wang 0004 — Nanyang Technological University, School of Computer Engineering / Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly, Singapore
- Di Wang 0005 — Google Research, Mountain View, CA, USA (and 1 more)
- Di Wang 0006 — TU Wien, Department of Geodesy and Geoinformation, Group of Photogrammetry, Vienna, Austria
- Di Wang 0007 — Macquarie University, Department of Computing, Sydney, NSW, Australia (and 1 more)
- Di Wang 0008 — Xi'an Jiaotong University, School of Management, Center for Intelligent Decision-Making and Machine Learning, China (and 2 more)
- Di Wang 0009 — Northeast Petroleum University, School of Electrical Information Engineering, Daqing, China
- Di Wang 0010 — Southeast University, Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing, China
- Di Wang 0011 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Di Wang 0012 — University of Michigan, College of Engineering, Ann Arbor, MI, USA (and 1 more)
- Di Wang 0013 — University of Southampton, Southampton Business School, UK
- Di Wang 0014 — Peking University, Institute of Population Research, Beijing, China
- Di Wang 0015 — King Abdullah University of Science and Technology (KAUST), Saudi Arabia (and 1 more)
- Di Wang 0016 — Beijing Institute of Technology, China
- Di Wang 0017 — Peking University, Beijing, China (and 1 more)
- Di Wang 0018 — Dalian University of Technology, School of Software Technology, Dalian, Liaoning, China
- Di Wang 0019 — Shanghai Jiao Tong University, School of Mechanical Engineering, Department of Industrial Engineering and Management, Shanghai, China
- Di Wang 0020 — Texas A&M University, Computer Science and Engineering Department, College Station, TX, USA
- Di Wang 0021 — University of Canterbury, Christchurch, New Zealand (and 1 more)
- Di Wang 0022 — Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
- Di Wang 0023 — JD Explore Academy, Beijing, China (and 2 more)
- Di Wang 0024 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China (and 1 more)
- Di Wang 0025 — Wuhan University, School of Cyber Science and Engineering, China (and 1 more)
- Di Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Di Wang 0028 — Plus Inc., Suzhou, China (and 1 more)
- Di Wang 0029 — University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, IL, USA
- Di Wang 0030 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Di Wang 0031 — Facebook, Seattle, WA, USA (and 1 more)
- Di Wang 0032 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electromachnical Engineering, China
- Di Wang 0033 — Tiangong University, School of Electronics and Information Engineering, Tianjin, China (and 1 more)
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Journal Articles
- 2023
[j4]Qian Wang, Xiaoyan Chen, Di Wang, Zichen Wang, Xinyu Zhang, Na Xie, Lili Liu:
Regularization Solver Guided FISTA for Electrical Impedance Tomography. Sensors 23(4): 2233 (2023)- [j3]Zichen Wang, Xinyu Zhang, Rong Fu, Di Wang, Xiaoyan Chen, Huaxiang Wang:
Electrical Impedance Tomography Image Reconstruction With Attention-Based Deep Convolutional Neural Network. IEEE Trans. Instrum. Meas. 72: 1-18 (2023) - 2022
- [j2]Xinyu Zhang, Zichen Wang, Rong Fu, Di Wang, Xiaoyan Chen, Xiaoyong Guo, Huaxiang Wang:
V-Shaped Dense Denoising Convolutional Neural Network for Electrical Impedance Tomography. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - 2021
- [j1]Xiaoyan Chen, Zichen Wang, Xinyu Zhang, Rong Fu, Di Wang, Miao Zhang, Huaxiang Wang:
Deep Autoencoder Imaging Method for Electrical Impedance Tomography. IEEE Trans. Instrum. Meas. 70: 1-15 (2021)
Conference and Workshop Papers
- 2022
- [c2]Zichen Wang, Xinyu Zhang, Di Wang, Rong Fu, Xiaoyan Chen, Huaxiang Wang:
Shape Reconstruction for Electrical Impedance Tomography with V2D-Net Deep Convolutional Neural Network. I2MTC 2022: 1-6 - [c1]Di Wang, Xinyu Zhang, Rong Fu, Zichen Wang, Xiaoyan Chen:
HIHU-Net: A Hyper-Information Hybrid U-Net for Image Reconstruction with Electrical Impedance Tomography. IST 2022: 1-6
Coauthor Index
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