A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis
Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, and Tulay Adali
IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2024
[Paper] [Poster] [PDF] Bibtex
@inproceedings{vu2024robust,
title={A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis},
author={Vu, Trung and Yang, Hanlu and Gabrielson, Ben and Laport, Francisco and D. Calhoun, Vince and Adali, Tulay},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={1831--1835},
year={2024},
organization={IEEE}
}
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis
Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, and Tulay Adali
57th Asilomar Conference on Signals, Systems, and Computers, 2023
[Paper] [Poster] [PDF] Bibtex
@inproceedings{laport2023reproducibility,
title={Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis},
author={Laport, Francisco and Vu, Trung and Yang, Hanlu and D. Calhoun, Vince and Adali, Tulay},
booktitle={Asilomar Conference on Signals, Systems, and Computers},
pages={1448--1452},
year={2023},
organization={IEEE}
}
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation
Trung Vu, Francisco Laport, Hanlu Yang, and Tulay Adali
57th Asilomar Conference on Signals, Systems, and Computers, 2023
[Paper] [Poster] [PDF] Bibtex
@inproceedings{vu2023constrained,
title={Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation},
author={Vu, Trung and Laport, Francisco and Yang, Hanlu and Adali, Tulay},
booktitle={Asilomar Conference on Signals, Systems, and Computers},
pages={827--831},
year={2023},
organization={IEEE}
}
On the Asymptotic Linear Convergence of Gradient Descent for Non-Symmetric Matrix Completion
Trung Vu and Raviv Raich
57th Asilomar Conference on Signals, Systems, and Computers, 2023
[Paper] [Poster] [PDF] Bibtex
@inproceedings{vu2023asymptotic,
title={On the Asymptotic Linear Convergence of Gradient Descent for Non-Symmetric Matrix Completion},
author={Vu, Trung and Raich, Raviv},
booktitle={Asilomar Conference on Signals, Systems, and Computers},
pages={1049--1053},
year={2023},
organization={IEEE}
}
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares
Trung Vu, Raviv Raich, and Xiao Fu
IEEE Transactions on Signal Processing, 2023
[Paper] [Appendix] [PDF] [Code] Bibtex
@article{vu2020novel,
title={On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares},
author={Vu, Trung and Raich, Raviv and Fu, Xiao},
journal={IEEE Transactions on Signal Processing},
volume={71},
pages={3883--3897},
year={2023},
publisher={IEEE}
}
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}
}
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}
}