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
More filters
Posted Content
Optimal Timing in Dynamic and Robust Attacker Engagement During Advanced Persistent Threats
TL;DR: In this paper, the authors study a scenario in which a powerful defender uses honeynets for active defense in order to observe an attacker who has penetrated the network, and find a threshold of information that the defender should gather about the attacker before ejecting him.
Journal ArticleDOI
Rolling horizon games of resilient networks with non-uniform horizons
TL;DR: In this paper , a two-player game-theoretic problem on resilient graphs is formulated and the optimal strategies for the two players are derived in a rolling horizon fashion by taking account of the sizes of the clusters.
Proceedings ArticleDOI
Theory of Linear Games with Constraints and Its Application to Power Control of Optical Networks
Quanyan Zhu,Lacra Pavel +1 more
TL;DR: A class of linear non- cooperative games with linearly coupled constraints that bears striking connections with classical linear systems theory and finds itself pervasively used in network engineering applications is introduced.
Journal ArticleDOI
Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems
TL;DR: A decomposition method is introduced which turns the original n-dimensional optimization problem into n independent scalar problems of lot sizing form and is applied to a mean-field coupled multi-agent system problem, where each agent seeks to compensate a combination of an exogenous signal and the local state average.
Proceedings ArticleDOI
Cognitive Connectivity Resilience in Multi-Layer Remotely Deployed Mobile Internet of Things
TL;DR: In this article, a feedback based adaptive, self-configurable and resilient framework for the overlay network that cognitively adapts to the changes in the network to provide reliable connectivity between spatially dispersed smart devices is proposed.