Adaptive Step Size Momentum Method For Deconvolution. - Trung Vu 001; Raviv Raich (SSP, 2018)

Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart. - Trung Vu 001; Raviv Raich (ICASSP, 2019)

Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion. - Trung Vu 001; Raviv Raich (ICASSP, 2019)

ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. - Trung Vu 001; Raviv Raich; Xiao Fu 001 (MLSP, 2019)

Perturbation expansions and error bounds for the truncated singular value decomposition. - Trung Vu 001; Evgenia Chunikhina; Raviv Raich (CoRR, 2020)

A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. - Trung Vu 001; Phung Lai; Raviv Raich; Anh T. Pham 001; Xiaoli Z. Fern; Arvind U. K. Rao (IEEE Trans. Medical Imaging, 2020)

Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent. - Trung Vu 001; Raviv Raich (ICASSP, 2021)

A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. - Trung Vu 001; Raviv Raich (CoRR, 2021)

On Local Convergence of Iterative Hard Thresholding for Matrix Completion. - Trung Vu 001; Raviv Raich (CoRR, 2021)

On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion. - Trung Vu 001; Evgenia Chunikhina; Raviv Raich (IEEE Trans. Signal Process., 2022)

On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. - Trung Vu 001; Raviv Raich (IEEE Trans. Signal Process., 2022)

Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. - Francisco Laport; Trung Vu 001; Hanlu Yang 001; Vince D. Calhoun; Tülay Adali (ACSSC, 2023)

Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation. - Trung Vu 001; Francisco Laport; Hanlu Yang 001; Tülay Adali (ACSSC, 2023)

ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION. - Trung Vu 001; Raviv Raich (ACSSC, 2023)

On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. - Trung Vu 001; Raviv Raich; Xiao Fu 001 (IEEE Trans. Signal Process., 2023)

Identification of Homogeneous Subgroups from Resting-State fMRI Data. - Hanlu Yang 001; Trung Vu 001; Qunfang Long; Vince D. Calhoun; Tülay Adali (Sensors, 2023)

A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis. - Trung Vu 001; Raviv Raich (Optim. Lett., 2023)

Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool. - Francisco Laport; Adriana Dapena; Trung Vu 001; Hanlu Yang 001; Vince D. Calhoun; Tülay Adali (EUSIPCO, 2024)

Provable Randomized Coordinate Descent for Matrix Completion. - Matthew Callahan; Trung Vu 001; Raviv Raich (ICASSP, 2024)

A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. - Trung Vu 001; Hanlu Yang 001; Francisco Laport; Ben Gabrielson; Vince D. Calhoun; Tülay Adali (ICASSP, 2024)

Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks. - Hanlu Yang 001; Meiby Ortiz-Bouza; Trung Vu 001; Francisco Laport; Vince D. Calhoun; Selin Aviyente; Tülay Adali (ICASSP, 2024)

Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis. - Ben Gabrielson; Hanlu Yang 001; Trung Vu 001; Vince D. Calhoun; Tülay Adali (IEEE Access, 2024)

Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis. - Trung Vu 001; Francisco Laport; Hanlu Yang 001; Vince D. Calhoun; Tülay Adali (IEEE Trans. Biomed. Eng., 2024)

Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI Data. - Chunying Jia; Weixin Wang 005; Trung Vu 001; Hanlu Yang 001; Ben Gabrielson; Vince D. Calhoun; Tülay Adali (CISS, 2025)

Fusion of Multitask fMRI Data with Constrained Independent Vector Analysis. - Emin Erdem Kumbasar; Hanlu Yang 001; Trung Vu 001; Vince D. Calhoun; Tülay Adali (CISS, 2025)

On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion. - Matthew Callahan; Trung Vu 001; Raviv Raich (ICASSP, 2025)

A Flexible Constrained ICA Approach for Multisubject fMRI Analysis. - Hanlu Yang 001; Trung Vu 001; Ehsan Ahmed Dhrubo; Vince D. Calhoun; Tülay Adali (Int. J. Biomed. Imaging, 2025)

Large-Scale Independent Vector Analysis (IVA-G) via Coresets. - Ben Gabrielson; Hanlu Yang 001; Trung Vu 001; Vince D. Calhoun; Tülay Adali (IEEE Trans. Signal Process., 2025)