Matrix optimization based Euclidean embedding with outliers

Different Aspects of the Registration Problem

Some Ideas on Input Modeling and Input Uncertainty in Stocha...

Matrix optimization based Euclidean embedding with outliers

Rerandomization and Regression Adjustment

Reconnecting p-value and Posterior Probability under One- an...

Integration of multi-omics and brain imaging data 多基因组学...

Spectral methods in networks: hierarchical structures and ri...

Direct Estimation of differential networks under high-dimens...

Regression on low-dimensional manifolds with neural networks

Large dimensional empirical likelihood

Can we trust high dimensional Nonstationary PCA ?

On Testing High Dimensional White Noise

Community Detection for Hypergraph Networks via Regularized ...