Publications

On Asymptotic Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion

Trung Vu, Evgenia Chunikhina, and Raviv Raich

IEEE Transactions on Signal Processing, 2022

[Paper] [Appendix] [PDF]
Bibtex
@article{vu2020novel,
 title={On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion},
 author={Vu, Trung and Chunikhina, Evgenia and Raich, Raviv},
 journal={IEEE Transactions on Signal Processing},
 volume={70},
 pages={5940--5953},
 year={2022},
 publisher={IEEE}
}

On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares

Trung Vu and Raviv Raich

IEEE Transactions on Signal Processing, 2022

[Paper] [Appendix] [PDF]
Bibtex
@article{vu2020novel,
 title={On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares},
 author={Vu, Trung and Raich, Raviv},
 journal={IEEE Transactions on Signal Processing},
 volume={70},
 pages={4061--4076},
 year={2022},
 publisher={IEEE}
}

On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares

Trung Vu, Raviv Raich, and Xiao Fu

Under review, 2022

[Paper]

A Closed-Form Bound on the Asymptotic Linear Convergence of Iterative Methods via Fixed Point Analysis

Trung Vu and Raviv Raich

Optimization Letters, 2022

[Paper] [PDF] [Code]
Bibtex
@article{vu2021closed,
 title={A Closed-Form Bound on the Asymptotic Linear Convergence of Iterative Methods via Fixed Point Analysis},
 author={Vu, Trung and Raich, Raviv},
 journal={Optimization Letters},
 year={2022},
 publisher={Elsevier}
}

Perturbation Expansions and Error Bounds for the Truncated Singular Value Decomposition

Trung Vu, Evgenia Chunikhina, and Raviv Raich

Linear Algebra and Its Applications, 2021

[Paper] [PDF] [Code]
Bibtex
@article{vu2021perturbation,
 title={Perturbation Expansions and Error Bounds for the Truncated Singular Value Decomposition},
 author={Vu, Trung and Chunikhina, Evgenia and Raich, Raviv},
 journal={Linear Algebra and its Applications},
 year={2021},
 publisher={Elsevier}
}

Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent

Trung Vu and Raviv Raich

IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2021

[Paper] [Poster] [Slides] [PDF] [Code]
Bibtex
@inproceedings{vu2021exact,
 title={Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent},
 author={Vu, Trung and Raich, Raviv},
 booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
 pages={3240--3244},
 year={2021},
 organization={IEEE}
}

A Novel Attribute-based Symmetric Multiple Instance Learning for Histopathological Image Analysis

Trung Vu, Phung Lai, Raviv Raich, Anh Pham, Xiaoli Z. Fern and UK Arvind Rao

IEEE Transactions on Medical Imaging, 2020

[Paper] [Slides] [PDF]
Bibtex
@article{vu2020novel,
 title={A Novel Attribute-based Symmetric Multiple Instance Learning for Histopathological Image Analysis},
 author={Vu, Trung and Lai, Phung and Raich, Raviv and Pham, Anh and Fern, Xiaoli Z and Rao, UK Arvind},
 journal={IEEE Transactions on Medical Imaging},
 volume={39},
 number={10},
 pages={3125--3136},
 year={2020},
 publisher={IEEE}
}

On Convergence of Projected Gradient Descent for Minimizing a Large-scale Quadratic over the Unit Sphere

Student Paper Award (2nd place)

Trung Vu, Raviv Raich and Xiao Fu

IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019

[Paper] [Slides] [Appendix] [PDF] [Errata] [Code]
Bibtex
@inproceedings{vu2019convergence,
 title={On Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere},
 author={Vu, Trung and Raich, Raviv and Xiao, Fu},
 booktitle={IEEE International Workshop on Machine Learning for Signal Processing (MLSP)},
 pages={1--6},
 year={2019},
 organization={IEEE}
}

Accelerating Iterative Hard Thresholding for Low-Rank Matrix Completion via Adaptive Restart

Trung Vu and Raviv Raich

IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019

[Paper] [Slides] [Appendix] [PDF] [Code]
Bibtex
@inproceedings{vu2019accelerating,
 title={Accelerating Iterative Hard Thresholding for Low-Rank Matrix Completion via Adaptive Restart},
 author={Vu, Trung and Raich, Raviv},
 booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
 pages={2917--2921},
 year={2019},
 organization={IEEE}
}

Local Convergence of the Heavy Ball method in Iterative Hard Thresholding for Low-Rank Matrix Completion

Trung Vu and Raviv Raich

IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2019

[Paper] [Poster] [Appendix] [PDF] [Code]
Bibtex
@inproceedings{vu2019local,
 title={Local Convergence of the {H}eavy {B}all Method in Iterative Hard Thresholding for Low-rank Matrix Completion},
 author={Vu, Trung and Raich, Raviv},
 booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
 pages={3417--3421},
 year={2019},
 organization={IEEE}
}

Adaptive Step Size Momentum Method for Deconvolution

Trung Vu and Raviv Raich

IEEE Statistical Signal Processing (SSP) Workshop, 2018

[Paper] [Poster] [Appendix] [PDF] [Code]
Bibtex
@inproceedings{vu2018adaptive,
 title={Adaptive Step Size Momentum Method For Deconvolution},
 author={Vu, Trung and Raich, Raviv},
 booktitle={IEEE Statistical Signal Processing Workshop (SSP)},
 pages={438--442},
 year={2018},
 organization={IEEE}
}

Resolution in Linguistic Propositional Logic Based on Linear Symmetrical Hedge Algebra

Thi-Minh-Tam Nguyen, Vu Viet-Trung, Tran Duc-Khanh and The-Vinh Doan

International Conference on Knowledge and Systems Engineering (KSE), 2014

[Paper]
Bibtex
@inproceedings{vu2014resolution,
 title={Resolution in linguistic propositional logic based on linear symmetrical hedge algebra},
 author={Thi-Minh-Tam Nguyen and Vu, Viet-Trung and Tran, Duc-Khanh and The-Vinh Doan},
 booktitle={Knowledge and Systems Engineering},
 pages={327--338},
 year={2014},
 organization={Springer}
}

Resolution in linguistic first order logic based on linear symmetrical hedge algebra

Thi-Minh-Tam Nguyen, Vu Viet-Trung, Tran Duc-Khanh and The-Vinh Doan

International Conference on Information Processing and Management of Uncertainty (IPMU) in Knowledge-Based Systems, 2014

[Paper]
Bibtex
@inproceedings{vu2014resolution,
 title={Resolution in linguistic first order logic based on linear symmetrical hedge algebra},
 author={Thi-Minh-Tam Nguyen and Vu, Viet-Trung and Tran, Duc-Khanh and The-Vinh Doan},
 booktitle={International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems},
 pages={345--354},
 year={2014},
 organization={Springer}
}

Fuzzy linguistic propositional logic based on refined hedge algebra

Tran Duc-Khanh, Vu Viet-Trung, Doan The-Vinh and Nguyen Minh-Tam

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013

[Paper]
Bibtex
@inproceedings{tran2013fuzzy,
 title={Fuzzy linguistic propositional logic based on refined hedge algebra},
 author={Tran, Duc-Khanh and Vu, Viet-Trung and Doan, The-Vinh and Nguyen, Minh-Tam},
 booktitle={2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
 pages={1--8},
 year={2013},
 organization={IEEE}
}