5 citations · 12 across the 13 of their papers we have counts for
13 papers
Community Structure Recovery and Interaction Probability Estimation for Gossip Opinion Dynamics
Yu Xing, Xingkang He, Haitao Fang +1
We study how to jointly recover the community structure and estimate the interaction probabilities of gossip opinion dynamics. In this process, agents randomly interact pairwise, a…
Community Detection for Gossip Dynamics with Stubborn Agents
Yu Xing, Xingkang He, Haitao Fang +1
We consider a community detection problem for gossip dynamics with stubborn agents in this paper. It is assumed that the communication probability matrix for agent pairs has a bloc…
Recursive Network Estimation From Binary-Valued Observation Data
Yu Xing, Xingkang He, Haitao Fang +1
This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequen…
Distributed Design of Robust Kalman Filters over Corrupted Channels
Xingkang He, Karl Henrik Johansson, Haitao Fang
We study distributed filtering for a class of uncertain systems over corrupted communication channels. We propose a distributed robust Kalman filter with stochastic gains, through…
Network Weight Estimation for Binary-Valued Observation Models
Yu Xing, Xingkang He, Haitao Fang +1
This paper studies the estimation of network weights for a class of systems with binary-valued observations. In these systems only quantized observations are available for the netw…
Asymptotic Properties of Distributed Social Sampling Algorithm
Qian Liu, Xingkang He, Haitao Fang
Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks. In a typical social sampling algorithm, ea…
Distributed Filtering for Uncertain Systems Under Switching Sensor Networks and Quantized Communications
Xingkang He, Wenchao Xue, Xiaocheng Zhang +1
This paper considers the distributed filtering problem for a class of stochastic uncertain systems under quantized data flowing over switching sensor networks. Employing the biased…
Distributed Kalman Filter for A Class of Nonlinear Uncertain Systems: An Extended State Method
Xingkang He, Xiaocheng Zhang, Wenchao Xue +1
This paper studies the distributed state estimation problem for a class of discrete-time stochastic systems with nonlinear uncertain dynamics over time-varying topologies of sensor…
Consistent distributed state estimation with global observability over sensor network
Xingkang He, Wenchao Xue, Haitao Fang
This paper studies the distributed state estimation problem for a class of discrete time-varying systems over sensor networks. Firstly, it is shown that a networked Kalman filter w…
Distributed Kalman Filters with State Equality Constraints: Time-based and Event-triggered Communications
Xingkang He, Chen Hu, Yiguang Hong +2
In this paper, we investigate a distributed estimation problem for multi-agent systems with state equality constraints (SEC). First, under a time-based consensus communication prot…
Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization Over Random Networks
Jinlong Lei, Han-Fu Chen, Hai-Tao Fang
This paper studies a distributed stochastic optimization problem over random networks with imperfect communications subject to a global constraint, which is the intersection of loc…
Primal-Dual Algorithm for Distributed Constrained Optimization
Jinlong Lei, Han-Fu Chen, Hai-Tao Fang
The paper studies a distributed constrained optimization problem, where multiple agents connected in a network collectively minimize the sum of individual objective functions subje…
Convergence of Distributed Randomized PageRank Algorithms
Wenxiao Zhao, Han-Fu Chen, Hai-Tao Fang
The PageRank algorithm employed by Google quantifies the importance of each page by the link structure of the web. To reduce the computational burden the distributed randomized Pag…