2018 - Member of Academia Europaea
2016 - Fellow of the American Association for the Advancement of Science (AAAS)
2014 - SPIE Fellow
2012 - ACM Distinguished Member
2010 - IEEE Fellow For contributions to video communications over the internet and wireless
Computer network, Artificial intelligence, Quality of service, Wireless network and The Internet are his primary areas of study. The concepts of his Computer network study are interwoven with issues in Wireless, Distributed computing and Communication channel. His Artificial intelligence research integrates issues from Machine learning, Theoretical computer science, Graph and Social network.
His work deals with themes such as Network allocation vector, Wireless lan, Network address and Adaptation, which intersect with Quality of service. His Wireless network research is multidisciplinary, incorporating elements of Mobile station, Throughput and Mobile computing. His The Internet research incorporates themes from Service quality, Multimedia, Scalability and Resource allocation.
His primary scientific interests are in Computer network, Artificial intelligence, Quality of service, Multimedia and The Internet. His studies deal with areas such as Wireless, Wireless network, Real-time computing and Distributed computing as well as Computer network. His Artificial intelligence study combines topics in areas such as Machine learning, Theoretical computer science, Computer vision and Pattern recognition.
His work on Resource allocation expands to the thematically related Quality of service. His study explores the link between Multimedia and topics such as Social network that cross with problems in Social media. His The Internet study incorporates themes from Scalability, Bandwidth and Server.
Wenwu Zhu focuses on Artificial intelligence, Theoretical computer science, Graph, Deep learning and Sentence. The Artificial intelligence study combines topics in areas such as Machine learning, Modal, Computer vision and Pattern recognition. In his study, Adversarial system is strongly linked to Graph embedding, which falls under the umbrella field of Theoretical computer science.
He works mostly in the field of Deep learning, limiting it down to topics relating to Artificial neural network and, in certain cases, Terminal sliding mode and Control, as a part of the same area of interest. Wenwu Zhu has researched Sentence in several fields, including Semantics, Ground and The Internet. His studies examine the connections between The Internet and genetics, as well as such issues in Multimedia, with regards to Cloud computing.
Wenwu Zhu mainly investigates Artificial intelligence, Theoretical computer science, Graph, Sentence and Machine learning. His Artificial intelligence research includes elements of Node and Computer vision. Wenwu Zhu works mostly in the field of Theoretical computer science, limiting it down to concerns involving Graph embedding and, occasionally, Adversarial system, Point, Network analysis, Focus and Network topology.
The various areas that Wenwu Zhu examines in his Sentence study include Semantics and The Internet. He focuses mostly in the field of The Internet, narrowing it down to matters related to Thumbnail and, in some cases, Information retrieval. In general Machine learning, his work in Recommender system is often linked to Factor, Constraint and Property linking many areas of study.
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.
Structural Deep Network Embedding
Daixin Wang;Peng Cui;Wenwu Zhu.
knowledge discovery and data mining (2016)
Streaming video over the Internet: approaches and directions
Dapeng Wu;Y.T. Hou;Wenwu Zhu;Ya-Qin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (2001)
Asymmetric Transitivity Preserving Graph Embedding
Mingdong Ou;Peng Cui;Jian Pei;Ziwei Zhang.
knowledge discovery and data mining (2016)
Multimedia Cloud Computing
Wenwu Zhu;Chong Luo;Jianfeng Wang;Shipeng Li.
IEEE Signal Processing Magazine (2011)
Channel and quality of service adaptation for multimedia delivery over wireless networks
Zhang Qian;Zhu Wenwu;Zhang Ya-Qin;Wang Guijin.
Efficient mobility management for vertical handoff between WWAN and WLAN
Qian Zhang;Chuanxiong Guo;Zihua Guo;Wenwu Zhu.
IEEE Communications Magazine (2003)
Community preserving network embedding
Xiao Wang;Peng Cui;Jing Wang;Jian Pei.
national conference on artificial intelligence (2017)
Channel and quality of service adaptation for multimedia over wireless networks
Qian Zhang;Wenwu Zhu;Ya-Qin Zhang;Guijin Wang.
A Survey on Network Embedding
Peng Cui;Xiao Wang;Jian Pei;Wenwu Zhu.
IEEE Transactions on Knowledge and Data Engineering (2019)
Peer-To-Peer Method of Quality of Service (QoS) Probing and Analysis and Infrastructure Employing Same
Yongqiang Xiong;Xin Yan Zhang;Wenwu Zhu.
Profile was last updated on December 6th, 2021.
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