Selected Recent Publications

Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors

Y Jiao, G Shen, Y Lin, J Huang

The Annals of Statistics 51 (2), 691-716, 2023.

Response best-subset selector for multivariate regression with high-dimensional response variables

J Hu, J Huang, X Liu, X Liu

Biometrika 110 (1), 205-223, 2023.

Linearized maximum rank correlation estimation

G Shen, K Chen, J Huang, Y Lin

Biometrika 110 (1), 187-20, 2023.

A random projection approach to hypothesis tests in high-dimensional single-index models

C Liu, X Zhao, J Huang

Journal of the American Statistical Association, 1-11, 2022.

Approximation with CNNs in sobolev space: with applications to classification

G Shen, Y Jiao, Y Lin, J Huang

Advances in Neural Information Processing Systems 35, 2876-2888, 2022.

Hierarchical cancer heterogeneity analysis based on histopathological imaging features

M Ren, Q Zhang, S Zhang, T Zhong, J Huang, S Ma

Biometrics 78 (4), 1579-1591, 2022.

Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors

D Han, J Huang, Y Lin, G Shen

Journal of Econometrics 230 (2), 416-431, 2022.

PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties

J Huang, Y Jiao, X Lu, Y Shi, Q Yang, Y Yang

Signal Processing 194, 108432, 2022.

Deep generative learning via Euler particle transport

Y Gao, J Huang, Y Jiao, J Liu, X Lu, Z Yang

Mathematical and Scientific Machine Learning, 336-368, 2022.

A deep generative approach to conditional sampling

X Zhou, Y Jiao, J Liu, J Huang

Journal of the American Statistical Association, 1-12, 2022.