李娟
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Gender:Female
Education Level:上海交通大学
Alma Mater:上海交通大学
Scientific Research
Current position:
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Scientific Research
Research Field
Paper Publications
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Load Balance vs Utility Maximization in Mobile Crowd Sensing: A Distributed Approach.Proc. IEEE Globecom.2014
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Crowdsourcing Sensing to Smartphones: A Randomized Auction Approach.Proc. IEEE IWQOS.2015
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Towards Redundancy-Aware Data Utility Maximization under Budget Constraint in Crowdsourced Sensing.Proc. IEEE ICPP.2015
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Online Auction for IaaS Clouds: towards Elastic User Demands and Weighted Heterogeneous VMs.Proc. IEEE INFOCOM.2017
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Data Utility Maximization When Leveraging Crowdsensing in Machine Learning.Proc. IEEE/ACM IWQoS.2018