2007 - Fellow of the American Association for the Advancement of Science (AAAS)
2007 - ACM Distinguished Member
2007 - Fellow of the International Federation of Automatic Control (IFAC)
Fei-Yue Wang mostly deals with Artificial intelligence, Intelligent transportation system, Environmental chemistry, Sediment and Artificial neural network. Fei-Yue Wang usually deals with Artificial intelligence and limits it to topics linked to Machine learning and Traffic generation model. His work in the fields of Intelligent transportation system, such as Advanced Traffic Management System, intersects with other areas such as Poison control.
His study in Environmental chemistry is interdisciplinary in nature, drawing from both Ecological risk, Manganese, Bioavailability, Oxygen and Methylmercury. His Sediment research also works with subjects such as
Fei-Yue Wang focuses on Artificial intelligence, Intelligent transportation system, Machine learning, Mercury and Computer vision. His research links Pattern recognition with Artificial intelligence. His work carried out in the field of Mercury brings together such families of science as Environmental chemistry and Oceanography.
His study in Oceanography focuses on Sea ice and Arctic.
His scientific interests lie mostly in Artificial intelligence, Deep learning, Machine learning, Pattern recognition and Computer vision. His work in Image, Segmentation, Object detection, Artificial neural network and Feature extraction are all subfields of Artificial intelligence research. His Deep learning study incorporates themes from Intelligent transportation system, Data mining and Traffic flow.
His Machine learning study combines topics from a wide range of disciplines, such as Adversarial system and Fuzzy logic. Pattern recognition is closely attributed to Pascal in his research.
The scientist’s investigation covers issues in Artificial intelligence, Deep learning, Machine learning, Pattern recognition and Artificial neural network. His study connects Computer vision and Artificial intelligence. Fei-Yue Wang combines subjects such as Intelligent transportation system and Data mining with his study of Deep learning.
His Intelligent transportation system research integrates issues from Complex system, Distributed computing and Traffic flow. The various areas that he examines in his Machine learning study include Adversarial system and Fuzzy logic. Automation and Data modeling is closely connected to Field in his research, which is encompassed under the umbrella topic of Adversarial system.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Traffic Flow Prediction With Big Data: A Deep Learning Approach
Yisheng Lv;Yanjie Duan;Wenwen Kang;Zhengxi Li.
IEEE Transactions on Intelligent Transportation Systems (2015)
Data-Driven Intelligent Transportation Systems: A Survey
Junping Zhang;Fei-Yue Wang;Kunfeng Wang;Wei-Hua Lin.
IEEE Transactions on Intelligent Transportation Systems (2011)
Reduction and axiomization of covering generalized rough sets
William Zhu;Fei-Yue Wang.
Information Sciences (2003)
Adaptive Dynamic Programming: An Introduction
Fei-Yue Wang;Huaguang Zhang;Derong Liu.
IEEE Computational Intelligence Magazine (2009)
Social Computing: From Social Informatics to Social Intelligence
Fei-Yue Wang;Daniel Zeng;K.M. Carley;W. Mao.
Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications
IEEE Transactions on Intelligent Transportation Systems (2010)
Assessing sediment contamination in estuaries.
Peter M. Chapman;Feiyue Wang.
Environmental Toxicology and Chemistry (2001)
Ecotoxicology of metals in aquatic sediments: binding and release, bioavailability, risk assessment, and remediation
Peter M Chapman;Feiyue Wang;Colin Janssen;Guido Persoone.
Canadian Journal of Fisheries and Aquatic Sciences (1998)
Towards blockchain-based intelligent transportation systems
Yong Yuan;Fei-Yue Wang.
international conference on intelligent transportation systems (2016)
On Three Types of Covering-Based Rough Sets
William Zhu;Fei-Yue Wang.
IEEE Transactions on Knowledge and Data Engineering (2007)
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