Rong Tang

发表

Bayesian inference for risk minimization via exponentially tilted empirical likelihood

Yun Yang, Rong Tang, 2022, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling

Yun Yang, Rong Tang, 2022, 2206.06491.

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling

Yun Yang, Rong Tang, 2022, 2206.06491.

Constrained Multilinear Multi-view Subspace Representation Learning for Clustering based on Tensor Nuclear Norm

Gui-Fu Lu, Rong Tang, 2022, 2022 9th International Conference on Dependable Systems and Their Applications (DSA).

Consensus similarity learning based on tensor nuclear norm

Gui-Fu Lu, Rong Tang, 2022, Machine Vision and Applications.

Estimating Distributions with Low-dimensional Structures Using Mixtures of Generative Models

Yun Yang, Rong Tang, 2023, 2301.00890.

Statistical Inference for Bayesian Risk Minimization via Exponentially Tilted Empirical Likelihood

Yun Yang, Rong Tang, Yun Yang, 2021, 2109.07792.

Consensus similarity learning based on tensor nuclear norm

Gui-Fu Lu, Rong Tang, 2022, Machine Vision and Applications.

AENN: A GENERATIVE ADVERSARIAL NEURAL NETWORK FOR WEATHER RADAR ECHO EXTRAPOLATION

Qian Li, Rong Tang, Jinrui Jing, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds

Yetao Yang, Rongkui Tang, Jinglei Wang, 2021, Comput. Geosci..

Minimax rate of distribution estimation on unknown submanifolds under adversarial losses

Yun Yang, Rong Tang, 2023, The Annals of Statistics.

Minimax Nonparametric Two-Sample Test under Adversarial Losses

Rong Tang, Yun Yang, 2023, AISTATS.