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Di Wang 0032

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affiliation: University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electromachnical Engineering, China

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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 — 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 0027 — Tianjin University of Science and Technology, School of Electronic Information and Automation, 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 0033 — Tiangong University, School of Electronics and Information Engineering, Tianjin, China (and 1 more)
Di Wang 0034 — University of Kitakyushu, Graduate School of Environmental Engineering, Wakamatsu, Japan (and 1 more)
Di Wang 0035 — Chongqing Jiaotong University, School of Information Science and Engineering, China (and 2 more)
Di Wang 0036 — Northeast Forestry University, College of Information and Computer Engineering, Harbin, China (and 1 more)
Di Wang 0037 — Nagoya University, Department of Civil and Environmental Engineering, Japan
Di Wang 0038 — Wuhan University of Technology, School of Management, China (and 1 more)
Di Wang 0039 — Northwest Minzu University, Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education, Lanzhou, Gansu, China (and 1 more)

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2020 – today

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2023
[j3]
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Di Wang, Zhi-Xin Yang:
Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning. IEEE Robotics Autom. Lett. 8(1): 184-191 (2023)
2022
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Di Wang, Lulu Tang, Xu Wang, Luqing Luo, Zhi-Xin Yang:
Improving deep learning on point cloud by maximizing mutual information across layers. Pattern Recognit. 131: 108892 (2022)
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Di Wang, Lulu Tang, Lei Zhu, Zhi-Xin Yang:
Mutual Information Maximization Based Similarity Operation for 3D Point Cloud Completion Network. IEEE Signal Process. Lett. 29: 1217-1221 (2022)

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