Wei Zhao is a researcher affiliated with the Shenzhen Institutes of Advanced Technology in China, with a primary focus in the field of Computer Science. Their body of work encompasses a broad range of subfields, including Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, and Control and Systems Engineering.
The scientist has contributed extensively to topics such as Topic Modeling, IoT and Edge/Fog Computing, Privacy-Preserving Technologies in Data, Natural Language Processing Techniques, Advanced Graph Neural Networks, Cloud Computing and Resource Management, and Vehicular Ad Hoc Networks (VANETs).
Wei Zhao's publications appear frequently in venues notable for computing and artificial intelligence research. Among the most frequent are:
Recent significant papers authored include:
Frequent collaborators in Wei Zhao's research include:
The combination of extensive publication record, a focus on emerging areas such as edge computing, privacy preservation, and graph neural networks, and collaboration with several researchers indicates an active engagement in current technology trends within the computing sciences.
Jie Lin;Wei Yu;Nan Zhang;Xinyu Yang
J.W.S. Liu;K.-J. Lin;W.-K. Shih;A.C.-s. Yu
K. Ramamritham;J.A. Stankovic;W. Zhao
Qingyu Yang;Jie Yang;Wei Yu;Dou An
Wei Zhao;Krithi Ramamritham;John A. Stankovic
Fan Liang;Wei Yu;Dou An;Qingyu Yang
Wei Zhao;K. Ramamritham;J.A. Stankovic
Wei Yu;Xinwen Fu;S. Graham;Dong Xuan
Ye Zhu;Xinwen Fu;Bryan Graham;Riccardo Bettati
G. Agrawal;B. Chen;W. Zhao;S. Davari
Zhiqing Tang;Xiaojie Zhou;Fuming Zhang;Weijia Jia
Wei Zhao;K. Ramamritham
Nicholas Malcolm;Wei Zhao
Aniket Pingley;Nan Zhang;Xinwen Fu;Hyeong-Ah Choi
N. Malcolm;Wei Zhao
Jie Lin;Wei Yu;Xinyu Yang;Guobin Xu
G. Agrawal;B. Chen;W. Zhao;S. Davari
W. Zhao;J.A. Stankovic;K. Ramamritham
Dong Xuan;Weijia Jia;Wei Zhao;Hongwen Zhu
John A. Stankovic;Wei Zhao
W. Zhao;K. Ramamritham;J. A. Stankovic
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees and alternative career pathways in Computer Science can open up a wide range of opportunities. Many students consider branching into specialized fields, such as data science, which often leads to high demand roles. For those concerned about tuition fees, earning a data science degree at an affordable price is a smart move to maximize return on investment.
Engineering remains a popular pathway among Computer Science enthusiasts. If cost is a key concern, exploring electrical engineering online tuition costs can help you find reputable programs that match your budget.
Those seeking rapid skill acquisition may benefit from targeted certifications. Pursuing easy certifications to get can provide a quick entry into tech roles and potentially high-paying jobs.
For professionals eager to advance quickly, enrolling in one of the shortest online masters degree programs can accelerate your career progression while maintaining flexibility.
Pennsylvania State University
Inserm
Environmental Protection Agency
University of Sydney
Max Planck Society
Johns Hopkins University
University of Rhode Island
Research Institute for Humanity and Nature
Aristotle University of Thessaloniki
China University of Mining and Technology
University of Georgia
University Hospital of Lausanne
Brown University
University of North Carolina at Chapel Hill
Finnish Institute for Health and Welfare
Naturalis Biodiversity Center