Teng-Yu Ji

Orcid: 0000-0003-2848-8477

According to our database¹, Teng-Yu Ji authored at least 22 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., September, 2023

Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior.

[BibT_eX]

[DOI]

Remote. Sens., April, 2023

SAR time series despeckling via nonlocal matrix decomposition in logarithm domain.

[BibT_eX]

[DOI]

Jian Kang

Tengyu Ji

Zhe Zhang

Rubén Fernández-Beltran

Signal Process., 2023

2022

A Unified Framework of Cloud Detection and Removal Based on Low-Rank and Group Sparse Regularizations for Multitemporal Multispectral Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data.

[BibT_eX]

[DOI]

Teng-Yu Ji

Xi-Le Zhao

Dong-Lin Sun

IEEE Signal Process. Lett., 2022

SAR Time-Series Despeckling via Nonlocal Total Variation Regularized Robust PCA.

[BibT_eX]

[DOI]

Rubén Fernández-Beltran

IEEE Geosci. Remote. Sens. Lett., 2022

Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion.

[BibT_eX]

[DOI]

J. Sci. Comput., 2022

2021

NSTMR: Super Resolution of Sentinel-2 Images Using Nonlocal Nonconvex Surrogate of Tensor Multirank.

[BibT_eX]

[DOI]

Xuan-Qi Wang

Teng-Yu Ji

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Adaptive total variation and second-order total variation-based model for low-rank tensor completion.

[BibT_eX]

[DOI]

Numer. Algorithms, 2021

Hyperspectral Denoising Via Global Tensor Ring Decomposition and Local Unsupervised Deep Image Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2020

Tensor <i>N</i>-tubal rank and its convex relaxation for low-rank tensor recovery.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Low-rank tensor train for tensor robust principal component analysis.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2020

A convex single image dehazing model via sparse dark channel prior.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2020

2019

Laplace function based nonconvex surrogate for low-rank tensor completion.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2019

Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation.

[BibT_eX]

[DOI]

J. Sci. Comput., 2019

Low-rank tensor completion via combined non-local self-similarity and low-rank regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Low-Rank Tensor Completion via Tensor Nuclear Norm With Hybrid Smooth Regularization.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Nonlocal Tensor Completion for Multitemporal Remotely Sensed Images' Inpainting.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2018

Matrix factorization for low-rank tensor completion using framelet prior.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery.

[BibT_eX]

[DOI]

CoRR, 2018

2016

Tensor completion using total variation and low-rank matrix factorization.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Teng-Yu Ji

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