Tongyao Pang

Orcid: 0000-0002-1392-1242

According to our database1, Tongyao Pang authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Outlier-Robust Diffusion Solvers for Inverse Problems.
CoRR, May, 2026

Enhancing Low-resolution Image Representation Through Normalizing Flows.
CoRR, January, 2026

2024
Siamese Cooperative Learning for Unsupervised Image Reconstruction From Incomplete Measurements.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

2023
Ground-Truth Free Meta-Learning for Deep Compressive Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Deep Video Denoising with Untrained Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Unsupervised Phase Retrieval Using Deep Approximate MMSE Estimation.
IEEE Trans. Signal Process., 2022

Nonblind Image Deconvolution via Leveraging Model Uncertainty in An Untrained Deep Neural Network.
Int. J. Comput. Vis., 2022

Dual-Domain Self-supervised Learning and Model Adaption for Deep Compressive Imaging.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A cubic spline penalty for sparse approximation under tight frame balanced model.
Adv. Comput. Math., 2020

Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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