3 citations · 3 across the 5 of their papers we have counts for
7 papers
Top-k data selection via distributed sample quantile inference
Xu Zhang, Marcos Vasconcelos
We consider the problem of determining the top- largest measurements from a dataset distributed among a network of agents with noisy communication links. We show that this s…
Distributed remote estimation over the collision channel with and without local communication
Xu Zhang, Marcos M. Vasconcelos, Wei Cui +1
The emergence of the Internet-of-Things and cyber-physical systems necessitates the coordination of access to limited communication resources in an autonomous and distributed fashi…
Matrix Completion with Prior Subspace Information via Maximizing Correlation
Xu Zhang, Wei Cui, Yulong Liu
This paper studies the problem of completing a low-rank matrix from a few of its random entries with the aid of prior information. We suggest a strategy to incorporate prior inform…
Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
Xu Zhang, Wei Cui, Yulong Liu
This paper studies the problem of estimating a covariance matrix from correlated sub-Gaussian samples. We consider using the correlated sample covariance matrix estimator to approx…
Compressive Multidimensional Harmonic Retrieval with Prior Knowledge
Yinchuan Li, Xu Zhang, Zegang Ding +1
This paper concerns the problem of estimating multidimensional (MD) frequencies using prior knowledge of the signal spectral sparsity from partial time samples. In many application…
Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples
Wei Cui, Xu Zhang, Yulong Liu
Covariance matrix estimation concerns the problem of estimating the covariance matrix from a collection of samples, which is of extreme importance in many applications. Classical r…