Hong Ye Tan

According to our database, Hong Ye Tan authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Accelerated Regularized Wasserstein Proximal Sampling Algorithms.

Hong Ye Tan, Stanley J. Osher, Wuchen Li

CoRR, January, 2026

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds.

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Image Denoisers to Regularizing Imaging Inverse Problems: An Overview.

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang

CoRR, September, 2025

Preconditioned Regularized Wasserstein Proximal Sampling.

Hong Ye Tan, Stanley J. Osher, Wuchen Li

CoRR, September, 2025

Dataset Distillation as Pushforward Optimal Quantization.

Hong Ye Tan, Emma Slade

CoRR, January, 2025

2024

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration.

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

Trans. Mach. Learn. Res., 2024

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation.

Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

Trans. Mach. Learn. Res., 2024

Provably Convergent Plug-and-Play Quasi-Newton Methods.

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., 2024

2023

Data-Driven Mirror Descent with Input-Convex Neural Networks.

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

SIAM J. Math. Data Sci., June, 2023

Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging.

Marcello Carioni, Subhadip Mukherjee, Hong Ye Tan, Junqi Tang

CoRR, 2023

Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals.

Hong Ye Tan, Stanley J. Osher, Wuchen Li

CoRR, 2023

Robust Data-Driven Accelerated Mirror Descent.

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb

Proceedings of the IEEE International Conference on Acoustics, 2023