most citedThe Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime

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math.ST2026

Algorithmic Contiguity from Low-Degree Heuristic II: Predicting Detection-Recovery Gaps

Zhangsong Li

The low-degree polynomial framework has emerged as a powerful tool for providing evidence of statistical-computational gaps in high-dimensional inference. For detection problems, t…

math.ST20261 cited

The Umeyama algorithm for matching correlated Gaussian geometric models in the low-dimensional regime

Shuyang Gong, Zhangsong Li

Motivated by the problem of matching two correlated random geometric graphs, we study the problem of matching two Gaussian geometric models correlated through a latent node permuta…

math.ST2026

Detection and Reconstruction of a Random Hypergraph from Noisy Graph Projection

Shuyang Gong, Zhangsong Li, Qiheng Xu

For a -uniform random hypergraph on vertices in which hyperedges are included i.i.d.\ so that the average degree in the hypergraph is , the projection of such a…

math.ST2026

Fundamental Limits of Community Detection in Contextual Multi-Layer Stochastic Block Models

Shuyang Gong, Dong Huang, Zhangsong Li

We consider the problem of community detection from the joint observation of a high-dimensional covariate matrix and sparse networks, all encoding noisy, partial information ab…

math.ST2026

Improved Computational Lower Bound of Estimation for Multi-Frequency Group Synchronization

Zhangsong Li

We study the computational phase transition in a multi-frequency group synchronization problem, where pairwise relative measurements of group elements are observed across multiple…

math.ST2025

The Algorithmic Phase Transition in Correlated Spiked Models

Zhangsong Li

We study the computational task of detecting and estimating correlated signals in a pair of spiked matrices $$ X=\tfracλ{\sqrt{n}} xu^{\top}+W, \quad Y=\tfracμ{\sqrt{n}} yv^{\top…