Teng-Yu Ji - Concepedia

Author

Teng-Yu Ji

University of Electronic Science and Technology of China ORCID

Also Known As

Ji, Teng-Yu, Teng-Yu Ji, Tengyu Ji

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

University of Electronic Science and Technology of China Northwestern Polytechnical University Xi'an Jiaotong University Central China Normal University

About

Teng-Yu Ji is an author at University of Electronic Science and Technology of China specializing in inverse problems, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	877
2	Data Science	6	6	468
3	Health Sciences	1	1	243
4	Computer Science	1	1	39
5	Biomedical Imaging	1	1	243

Teng-Yu Ji

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization Yu‐Bang Zheng, Ting‐Zhu Huang, Xi-Le Zhao, IEEE Transactions on Geoscience and Remote Sensing EngineeringMixed Noise RemovalNew Tensor RankImage AnalysisMultilinear Subspace Learning	2019	243
Tensor completion using total variation and low-rank matrix factorization Teng-Yu Ji, Ting‐Zhu Huang, Xi-Le Zhao, Information Sciences EngineeringMachine LearningData ScienceMatrix FactorizationMultilinear Subspace Learning	2015	172
Low-rank tensor train for tensor robust principal component analysis Jing‐Hua Yang, Xi-Le Zhao, Teng-Yu Ji, Applied Mathematics and Computation EngineeringMachine LearningData SciencePattern RecognitionLow-rank Tensor Train	2019	125
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery Yu‐Bang Zheng, Ting‐Zhu Huang, Xi-Le Zhao, Information Sciences Sparse RepresentationManifold LearningMatrix FactorizationConvex RelaxationLow-rank Tensor Recovery	2020	102
A non-convex tensor rank approximation for tensor completion Teng-Yu Ji, Ting‐Zhu Huang, Xi-Le Zhao, Applied Mathematical Modelling EngineeringMatrix FactorizationTensor CompletionFunctional AnalysisApproximation Theory	2017	101
Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation Meng Ding, Ting‐Zhu Huang, Teng-Yu Ji, Journal of Scientific Computing Sparse RepresentationEngineeringMachine LearningData ScienceMatrix Factorization	2019	86
Matrix factorization for low-rank tensor completion using framelet prior Tai-Xiang Jiang, Ting‐Zhu Huang, Xi-Le Zhao, Information Sciences Matrix FactorizationMachine LearningInverse ProblemsLow-rank Tensor CompletionLow-rank Approximation	2018	82
Low-rank tensor completion via smooth matrix factorization Yu‐Bang Zheng, Ting‐Zhu Huang, Teng-Yu Ji, Applied Mathematical Modelling Matrix FactorizationMachine LearningInverse ProblemsLow-rank Tensor CompletionLow-rank Approximation	2019	73
Laplace function based nonconvex surrogate for low-rank tensor completion Wenhao Xu, Xi-Le Zhao, Teng-Yu Ji, Signal Processing Image Communication Laplace FunctionMatrix FactorizationInverse ProblemsFunctional AnalysisLow-rank Approximation	2018	62
Nonlinear Transform Induced Tensor Nuclear Norm for Tensor Completion Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Journal of Scientific Computing Matrix FactorizationMultilinear Subspace LearningInverse ProblemsTensor CompletionFunctional Analysis	2022	52

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