Trung Vu

31 papers Misc 12Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Large-scale resting-state fMRI analysis via regression-assisted framework.
Biomed. Signal Process. Control.
Hanlu Yang, Ben Gabrielson, Trung Vu, Vince D. Calhoun, Tülay Adali
2026 J jnl
Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis.
IEEE Access
Lucas Gois, Hanlu Yang, Trung Vu, Weixin Wang, Denis G. Fantinato, Aline Neves, Vince D. Calhoun, Tülay Adali
2025 J jnl
A Flexible Constrained ICA Approach for Multisubject fMRI Analysis.
Int. J. Biomed. Imaging
Hanlu Yang, Trung Vu, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali
2025 Misc conf
Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI Data.
CISS
Chunying Jia, Weixin Wang, Trung Vu, Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali
2025 Misc conf
Fusion of Multitask fMRI Data with Constrained Independent Vector Analysis.
CISS
Emin Erdem Kumbasar, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali
2025 J jnl
Large-Scale Independent Vector Analysis (IVA-G) via Coresets.
IEEE Trans. Signal Process.
Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali
2025 Misc conf
On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion.
ICASSP
Matthew Callahan, Trung Vu, Raviv Raich
2024 Misc conf
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis.
ICASSP
Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali
2024 J jnl
Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis.
IEEE Trans. Biomed. Eng.
Trung Vu, Francisco Laport, Hanlu Yang, Vince D. Calhoun, Tülay Adali
2024 J jnl
Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis.
IEEE Access
Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali
2024 Misc conf
Provable Randomized Coordinate Descent for Matrix Completion.
ICASSP
Matthew Callahan, Trung Vu, Raviv Raich
2024 — conf
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool.
EUSIPCO
Francisco Laport, Adriana Dapena, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali
2024 Misc conf
Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks.
ICASSP
Hanlu Yang, Meiby Ortiz-Bouza, Trung Vu, Francisco Laport, Vince D. Calhoun, Selin Aviyente, Tülay Adali
2023 J jnl
A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis.
Optim. Lett.
Trung Vu, Raviv Raich
2023 Misc conf
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation.
ACSSC
Trung Vu, Francisco Laport, Hanlu Yang, Tülay Adali
2023 J jnl
Identification of Homogeneous Subgroups from Resting-State fMRI Data.
Sensors
Hanlu Yang, Trung Vu, Qunfang Long, Vince D. Calhoun, Tülay Adali
2023 Misc conf
ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION.
ACSSC
Trung Vu, Raviv Raich
2023 J jnl
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares.
IEEE Trans. Signal Process.
Trung Vu, Raviv Raich, Xiao Fu
2023 Misc conf
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis.
ACSSC
Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali
2022 J jnl
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares.
IEEE Trans. Signal Process.
Trung Vu, Raviv Raich
2022 J jnl
On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion.
IEEE Trans. Signal Process.
Trung Vu, Evgenia Chunikhina, Raviv Raich
2021 J jnl
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations.
CoRR
Trung Vu, Raviv Raich
2021 Misc conf
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent.
ICASSP
Trung Vu, Raviv Raich
2021 J jnl
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares.
CoRR
Trung Vu, Raviv Raich
2021 J jnl
On Local Convergence of Iterative Hard Thresholding for Matrix Completion.
CoRR
Trung Vu, Raviv Raich
2020 J jnl
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.
IEEE Trans. Medical Imaging
Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao
2020 J jnl
Perturbation expansions and error bounds for the truncated singular value decomposition.
CoRR
Trung Vu, Evgenia Chunikhina, Raviv Raich
2019 Misc conf
Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart.
ICASSP
Trung Vu, Raviv Raich
2019 Misc conf
Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion.
ICASSP
Trung Vu, Raviv Raich
2019 — conf
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere.
MLSP
Trung Vu, Raviv Raich, Xiao Fu
2018 — conf
Adaptive Step Size Momentum Method For Deconvolution.
SSP
Trung Vu, Raviv Raich