Trung Vu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Multiple Instance

Matrix Completion

Constrained Least Squares

Recommender Systems

Top Venues

IEEE Trans. Signal Process.

Publications

Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. ICASSP (2024)
Matthew Callahan, Trung Vu, Raviv Raich
Provable Randomized Coordinate Descent for Matrix Completion. ICASSP (2024)
Trung Vu, Raviv Raich
A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis. Optim. Lett. 17 (3) (2023)
Trung Vu, Raviv Raich, Xiao Fu
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. 71 (2023)
Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. ACSSC (2023)
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
Recommender Systems with Generative Retrieval. CoRR (2023)
Trung Vu, Francisco Laport, Hanlu Yang, Tülay Adali
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation. ACSSC (2023)
Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR (2023)
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy
Recommender Systems with Generative Retrieval. NeurIPS (2023)
Trung Vu, Raviv Raich
ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION. ACSSC (2023)
Hanlu Yang, Trung Vu, Qunfang Long, Vince D. Calhoun, Tülay Adali
Identification of Homogeneous Subgroups from Resting-State fMRI Data. Sensors 23 (6) (2023)
Trung Vu, Evgenia Chunikhina, Raviv Raich
On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion. IEEE Trans. Signal Process. 70 (2022)
Trung Vu, Raviv Raich
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. IEEE Trans. Signal Process. 70 (2022)
Trung Vu, Raviv Raich
On Local Convergence of Iterative Hard Thresholding for Matrix Completion. CoRR (2021)
Trung Vu, Raviv Raich
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. CoRR (2021)
Trung Vu, Raviv Raich
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. CoRR (2021)
Trung Vu, Raviv Raich
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent. ICASSP (2021)
Trung Vu, Evgenia Chunikhina, Raviv Raich
Perturbation expansions and error bounds for the truncated singular value decomposition. CoRR (2020)
Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, U. K. Arvind Rao
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39 (10) (2020)
Trung Vu, Raviv Raich
Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart. ICASSP (2019)
Trung Vu, Raviv Raich, Xiao Fu
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. MLSP (2019)
Trung Vu, Raviv Raich
Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion. ICASSP (2019)
Trung Vu, Raviv Raich
Adaptive Step Size Momentum Method For Deconvolution. SSP (2018)
Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er
Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions. CoRR (2017)