activity
20172019
most citedLarge Degree Asymptotics and the Reconstruction Threshold of the Asymmetric Binary Channels

7 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ML2019

The non-tightness of the reconstruction threshold of a 4 states symmetric model with different in-block and out-block mutations

Wenjian Liu, Ning Ning

The tree reconstruction problem is to collect and analyze massive data at the th level of the tree, to identify whether there is non-vanishing information of the root, as go…

math.PR2018★ 2 cited

Big Data Information Reconstruction on an Infinite Tree for a -state Asymmetric Model with Community Effects

Wenjian Liu, Ning Ning

The information reconstruction problem on an infinite tree, is to collect and analyze massive data samples at the th level of the tree to identify whether there is non-vanishing…

math.PR2018★ 7 cited

Large Degree Asymptotics and the Reconstruction Threshold of the Asymmetric Binary Channels

Wenjian Liu, Ning Ning

In this paper, we consider a broadcasting process in which information is propagated from a given root node on a noisy tree network, and answer the question that whether the symbol…

econ.EM2018★ 4 cited

Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?

Jinwen Qiu, Wenjian Liu, Ning Ning

This paper extends endogenous economic growth models to incorporate knowledge externality. We explores whether spatial knowledge spillovers among regions exist, whether spatial kno…

math.PR2017★ 1 cited

Reconstruction for the Asymmetric Ising Model on Regular Trees

Wenjian Liu, Ning Ning

It is known that the Kesten-Stigum reconstruction bound is tight for roughly symmetric binary channels. In this paper, we will adopt a refined analysis of moment recursion on a wei…

math.PR2017★ 7 cited

The Tightness of the Kesten-Stigum Reconstruction Bound of Symmetric Model with Multiple Mutations

Wenjian Liu, S. Rao Jammalamadaka, Ning Ning

It is well known that reconstruction problems, as the interdisciplinary subject, have been studied in numerous contexts including statistical physics, information theory and comput…