Fan Wu mainly focuses on Computer network, Incentive, Wireless, Distributed computing and Data quality. Computer network connects with themes related to Game theory in his study. His Incentive study integrates concerns from other disciplines, such as Service provider, Common value auction and Profit.
His work carried out in the field of Wireless brings together such families of science as Radio spectrum and Beamforming. His Distributed computing research includes elements of Provisioning and Routing protocol. He combines subjects such as Overhead, Data mining and k-anonymity with his study of Data quality.
Fan Wu spends much of his time researching Computer network, Distributed computing, Wireless, Computer security and Wireless network. His studies deal with areas such as Channel allocation schemes, Communication channel and Throughput as well as Computer network. His research investigates the connection with Distributed computing and areas like Static routing which intersect with concerns in Destination-Sequenced Distance Vector routing.
Wireless is closely attributed to Radio spectrum in his research. His work on Nash equilibrium expands to the thematically related Wireless network. In his study, White spaces and Energy consumption is inextricably linked to Real-time computing, which falls within the broad field of Wireless sensor network.
The scientist’s investigation covers issues in Wireless, Distributed computing, Operations research, Artificial intelligence and Overhead. He studies Wireless network which is a part of Wireless. His Federated learning study in the realm of Distributed computing interacts with subjects such as Software deployment.
The study incorporates disciplines such as Incentive, Opportunity cost, Competitive analysis and Mechanism design in addition to Operations research. His Incentive study combines topics from a wide range of disciplines, such as Data quality, Budget constraint and Risk analysis. Fan Wu usually deals with Mobile relay and limits it to topics linked to Computer network and Privacy preserving.
His primary areas of study are Distributed computing, Operations research, Differential privacy, Leverage and Upload. His Distributed computing study incorporates themes from Missing data and Minification. His work in Differential privacy addresses subjects such as Scalability, which are connected to disciplines such as Scheduling, Algorithm, Distributed algorithm, Approximation algorithm and Mobile sensor networks.
He has researched Leverage in several fields, including Generative grammar, Fake news and Data science. He combines topics linked to Profit with his work on Computer security. He has included themes like Wireless and Mathematical optimization in his Robustness 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.
Pay as How Well You Do: A Quality Based Incentive Mechanism for Crowdsensing
Dan Peng;Fan Wu;Guihai Chen.
mobile ad hoc networking and computing (2015)
Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks
Tong Meng;Fan Wu;Zheng Yang;Guihai Chen.
IEEE Transactions on Computers (2016)
Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges
Linghe Kong;Muhammad Khurram Khan;Fan Wu;Guihai Chen.
IEEE Communications Magazine (2017)
Unsupervised Fake News Detection on Social Media: A Generative Approach
Shuo Yang;Kai Shu;Suhang Wang;Renjie Gu.
national conference on artificial intelligence (2019)
Stimulating Cooperation in Vehicular Ad Hoc Networks: A Coalitional Game Theoretic Approach
Tingting Chen;Liehuang Zhu;Fan Wu;Sheng Zhong.
IEEE Transactions on Vehicular Technology (2011)
SPRING: A Strategy-proof and Privacy preserving spectrum auction mechanism
Qianyi Huang;Yixin Tao;Fan Wu.
international conference on computer communications (2013)
Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems
Tie Luo;Salil S. Kanhere;Jianwei Huang;Sajal K. Das.
IEEE Communications Magazine (2017)
Globally Optimal Channel Assignment for Non-Cooperative Wireless Networks
Fan Wu;Sheng Zhong;Chunming Qiao.
international conference on computer communications (2008)
On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing
Shuo Yang;Fan Wu;Shaojie Tang;Xiaofeng Gao.
IEEE Journal on Selected Areas in Communications (2017)
Incentive-compatible opportunistic routing for wireless networks
Fan Wu;Tingting Chen;Sheng Zhong;Li Erran Li.
acm/ieee international conference on mobile computing and networking (2008)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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