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Yuqing Zhu
Researcher at California State University, Los Angeles
Publications - 71
Citations - 710
Yuqing Zhu is an academic researcher from California State University, Los Angeles. The author has contributed to research in topics: Submodular set function & Maximization. The author has an hindex of 12, co-authored 63 publications receiving 576 citations. Previous affiliations of Yuqing Zhu include University of Texas at Dallas & Nanyang Technological University.
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Journal ArticleDOI
Strengthening barrier-coverage of static sensor network with mobile sensor nodes
TL;DR: This paper investigates the potential of mobile sensor nodes such as unmanned aerial vehicles and human patrols to fortify the barrier-coverage quality of a WSN of cheap and static sensor nodes and uses a single variable first-order grey model, GM(1,1), based on the intruder detection history from the sensor nodes to determine which parts of the barrier is more vulnerable.
Proceedings ArticleDOI
Minimizing makespan and total completion time in MapReduce-like systems
TL;DR: This work designs an algorithm and proves its optimality, and designs an approximation algorithm with the worst ratio of 3/2-1/2h where h is the number of machines, and devise a heuristic for preemptive and non-preemptive reduce tasks.
Proceedings ArticleDOI
Minimum cost seed set for competitive social influence
Yuqing Zhu,Deying Li,Zhao Zhang +2 more
TL;DR: It is found that a specific influence's spread is monotone and submodular, and these nice properties make algorithm performance tractable and give a greedy algorithm significantly better than similar ones analyzed by others.
Proceedings ArticleDOI
Rumor restriction in Online Social Networks
TL;DR: This paper shows that the objective function of the γ - k rumor restriction problem is submodular, and uses this result to design a greedy approximation algorithm with performance ratio of 1 - 1/e for the problem under the linear threshold model and independent cascade model.
Journal ArticleDOI
Maximizing the Influence and Profit in Social Networks
TL;DR: By considering the role that price plays in viral marketing, a price related (PR) frame that contains PR-I and PR-L models for classic independent cascade and linear threshold models is proposed, which is a pioneer work.