41 citations · 65 across the 9 of their papers we have counts for
9 papers
Variational Optimization for the Submodular Maximum Coverage Problem
Jian Du, Zhigang Hua, Shuang Yang
We examine the \emph{submodular maximum coverage problem} (SMCP), which is related to a wide range of applications. We provide the first variational approximation for this problem…
Distributed Frequency Offsets Estimation
Jian Du, Shaodan Ma
In this paper, we provide a distributed frequency offset estimation algorithm based on a variant of belief propagation (BP). Each agent in the network pre-compensates its carrier f…
Convergence Analysis of Belief Propagation on Gaussian Graphical Models
Jian Du, Shaodan Ma, Yik-Chung Wu +2
Gaussian belief propagation (GBP) is a recursive computation method that is widely used in inference for computing marginal distributions efficiently. Depending on how the factoriz…
Distributed Convergence Verification for Gaussian Belief Propagation
Jian Du, Soummya Kar, José M. F. Moura
Gaussian belief propagation (BP) is a computationally efficient method to approximate the marginal distribution and has been widely used for inference with high dimensional data as…
Convergence analysis of belief propagation for pairwise linear Gaussian models
Jian Du, Shaodan Ma, Yik-Chung Wu +2
Gaussian belief propagation (BP) has been widely used for distributed inference in large-scale networks such as the smart grid, sensor networks, and social networks, where local me…
Convergence analysis of the information matrix in Gaussian belief propagation
Jian Du, Shaodan Ma, Yik-Chung Wu +2
Gaussian belief propagation (BP) has been widely used for distributed estimation in large-scale networks such as the smart grid, communication networks, and social networks, where…
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation
Jian Du, Shaodan Ma, Yik-Chung Wu +2
This paper considers inference over distributed linear Gaussian models using factor graphs and Gaussian belief propagation (BP). The distributed inference algorithm involves only l…
Distributed Hybrid Power State Estimation under PMU Sampling Phase Errors
Jian Du, Shaodan Ma, Yik-Chung Wu +1
Phasor measurement units (PMUs) have the advantage of providing direct measurements of power states. However, as the number of PMUs in a power system is limited, the traditional su…
Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation
Jian Du, Yik-Chung Wu
In this paper, we propose a fully distributed algorithm for frequency offsets estimation in decentralized systems. With the proposed algorithm, each node estimates its frequency of…