9 citations · 33 across the 8 of their papers we have counts for
8 papers
Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations
Kai Zhu, Zhen Chen, Lei Ying
This paper studies the problem of locating multiple diffusion sources in networks with partial observations. We propose a new source localization algorithm, named Optimal-Jordan-Co…
Distributed Rate and Power Control in Vehicular Networks
Jubin Jose, Chong Li, Xinzhou Wu +2
The focus of this paper is on the rate and power control algorithms in Dedicated Short Range Communication (DSRC) for vehicular networks. We first propose a utility maximization fr…
Source Localization in Networks: Trees and Beyond
Kai Zhu, Lei Ying
Information diffusion in networks can be used to model many real-world phenomena, including rumor spreading on online social networks, epidemics in human beings, and malware on the…
Locating Contagion Sources in Networks with Partial Timestamps
Kai Zhu, Zhen Chen, Lei Ying
This paper studies the problem of identifying the contagion source when partial timestamps of a contagion process are available. We formulate the source localization problem as a r…
Collaborative Filtering with Information-Rich and Information-Sparse Entities
Kai Zhu, Rui Wu, Lei Ying +1
In this paper, we consider a popular model for collaborative filtering in recommender systems where some users of a website rate some items, such as movies, and the goal is to reco…
Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs
Jiaming Xu, Rui Wu, Kai Zhu +3
In standard clustering problems, data points are represented by vectors, and by stacking them together, one forms a data matrix with row or column cluster structure. In this paper,…
A Robust Information Source Estimator with Sparse Observations
Kai Zhu, Lei Ying
In this paper, we consider the problem of locating the information source with sparse observations. We assume that a piece of information spreads in a network following a heterogen…
Information Source Detection in the SIR Model: A Sample Path Based Approach
Kai Zhu, Lei Ying
This paper studies the problem of detecting the information source in a network in which the spread of information follows the popular Susceptible-Infected-Recovered (SIR) model. W…