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20112023
most citedPhysically-informed artificial neural networks for atomistic modeling of materials

334 citations · 540 across the 32 of their papers we have counts for

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5 papers · 1 filter

stat.ME2023★ 1 cited

U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments

Meijia Shao, Dong Xia, Yuan Zhang

U-statistics play central roles in many statistical learning tools but face the haunting issue of scalability. Significant efforts have been devoted into accelerating computation b…

stat.ME2022★ 1 cited

Higher-order accurate two-sample network inference and network hashing

Meijia Shao, Dong Xia, Yuan Zhang +2

Two-sample hypothesis testing for network comparison presents many significant challenges, including: leveraging repeated network observations and known node registration, but with…

stat.ME2021★ 1 cited

Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization

Jian-Feng Cai, Jingyang Li, Dong Xia

We investigate a generalized framework to estimate a latent low-rank plus sparse tensor, where the low-rank tensor often captures the multi-way principal components and the sparse…

stat.ME2019★ 56 cited

Community Detection for Hypergraph Networks via Regularized Tensor Power Iteration

Zheng Tracy Ke, Feng Shi, Dong Xia

To date, social network analysis has been largely focused on pairwise interactions. The study of higher-order interactions, via a hypergraph network, brings in new insights. We stu…

stat.ME2017

Effective Tensor Sketching via Sparsification

Dong Xia, Ming Yuan

In this paper, we investigate effective sketching schemes via sparsification for high dimensional multilinear arrays or tensors. More specifically, we propose a novel tensor sparsi…