Yong Li

Orcid: 0000-0001-7551-1137

Affiliations:
  • Shanghai Jiao Tong University, Department of Electronic Engineering, China


According to our database1, Yong Li authored at least 16 papers between 2013 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding.
IEEE Trans. Multim., 2023

2022
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers.
IEEE Trans. Knowl. Data Eng., 2022

2020
Scalable Structured Compressive Video Sampling With Hierarchical Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

2019
Sparse-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting.
IEEE Trans. Circuits Syst. Video Technol., 2019

2018
Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation.
IEEE Trans. Signal Process., 2018

Compressed Sensing via a Deep Convolutional Auto-encoder.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

2017
Structured Sparse Representation With Union of Data-Driven Linear and Multilinear Subspaces Model for Compressive Video Sampling.
IEEE Trans. Signal Process., 2017

Nonconvex Optimization with Alternating Direction Method of Multipliers for Tensor-Based Compressed Sensing with Group Sparsity.
Proceedings of the 2017 Data Compression Conference, 2017

Complementary Contextual Models with FM-Index for DNA Compression.
Proceedings of the 2017 Data Compression Conference, 2017

2016
VERTIcal Grid lOgistic regression (VERTIGO).
J. Am. Medical Informatics Assoc., 2016

Compressed Video Coding with Multi-Kernel Gaussian Process Regression.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Depth propagation with tensor voting for 2D-to-3D video conversion.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Compressive Tensor Sampling with Structured Sparsity.
Proceedings of the 2016 Data Compression Conference, 2016

2015
Subspace Learning with Structured Sparsity for Compressive Video Sampling.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Union of Data-Driven Subspaces via Subspace Clustering for Compressive Video Sampling.
Proceedings of the Data Compression Conference, 2014

2013
Compressive video sampling from a union of data-driven subspaces.
Proceedings of the 2013 Visual Communications and Image Processing, 2013


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