Q
Quanyan Zhu
Researcher at New York University
Publications - 474
Citations - 10411
Quanyan Zhu is an academic researcher from New York University. The author has contributed to research in topics: Computer science & Game theory. The author has an hindex of 42, co-authored 416 publications receiving 8351 citations. Previous affiliations of Quanyan Zhu include University of Illinois at Urbana–Champaign & McGill University.
Papers
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Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback.
Song Fang,Quanyan Zhu +1 more
TL;DR: In this paper, the authors derived lower bounds on the feedback capacity of parallel additive colored Gaussian noise (ACGN) channels to a variant of the Kalman filter and showed that the corresponding power allocation policies with feedback can be reduced to a feedback "water-filling" power allocation policy.
Posted Content
A Receding-Horizon MDP Approach for Performance Evaluation of Moving Target Defense in Networks
Zhentian Qian,Jie Fu,Quanyan Zhu +2 more
TL;DR: In this paper, the problem of assessing the effectiveness of a proactive defense-by-detection policy with a network-based moving target defense is studied using a probabilistic attack graph-a graphical security model and a receding-horizon planning algorithm is developed.
Book ChapterDOI
Secure Data Assimilation of Cloud Sensor Networks
Quanyan Zhu,Zhiheng Xu +1 more
TL;DR: In this article, the authors proposed a security mechanism to achieve data confidentiality in the outsourcing process by combining a conventional homomorphic encryption and a customized encryption scheme, and analyzed the impacts of quantization errors on the estimation performance.
Posted Content
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population
Tao Zhang,Quanyan Zhu +1 more
TL;DR: This letter characterizes necessary and sufficient conditions to guarantee agents' honest equilibrium behaviors over periods and provides the design principles to construct the payments in terms of the allocation rules and identifies the restrictions of the designer's ability to influence the population dynamics.
Journal ArticleDOI
QoS-Based Contract Design for Profit Maximization in IoT-Enabled Data Markets
TL;DR: In this paper , a generic framework is developed to analyze and enable such interactions efficiently, leveraging tools from contract theory and mechanism design theory, which can enable and empower emerging data-sharing paradigms, such as Sensing-as-a-Service (SaaS).