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Trung Vu
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2020 – today
- 2024
- [c11]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: 1831-1835 - [c10]Matthew Callahan, Trung Vu, Raviv Raich:
Provable Randomized Coordinate Descent for Matrix Completion. ICASSP 2024: 9421-9425 - 2023
- [j6]Trung Vu, Raviv Raich:
A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis. Optim. Lett. 17(3): 643-656 (2023) - [j5]Hanlu Yang, Trung Vu, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Identification of Homogeneous Subgroups from Resting-State fMRI Data. Sensors 23(6): 3264 (2023) - [j4]Trung Vu, Raviv Raich, Xiao Fu:
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. 71: 3883-3897 (2023) - [c9]Trung Vu, Francisco Laport, Hanlu Yang, Tülay Adali:
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation. ACSSC 2023: 827-831 - [c8]Trung Vu, Raviv Raich:
ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION. ACSSC 2023: 1049-1053 - [c7]Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. ACSSC 2023: 1448-1452 - [c6]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 - [i7]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 abs/2305.05065 (2023) - [i6]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 abs/2306.08121 (2023) - 2022
- [j3]Trung Vu, Raviv Raich:
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. IEEE Trans. Signal Process. 70: 4061-4076 (2022) - [j2]Trung Vu, Evgenia Chunikhina, Raviv Raich:
On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion. IEEE Trans. Signal Process. 70: 5940-5953 (2022) - 2021
- [c5]Trung Vu, Raviv Raich:
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent. ICASSP 2021: 3240-3244 - [i5]Trung Vu, Raviv Raich:
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. CoRR abs/2112.10598 (2021) - [i4]Trung Vu, Raviv Raich:
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. CoRR abs/2112.11760 (2021) - [i3]Trung Vu, Raviv Raich:
On Local Convergence of Iterative Hard Thresholding for Matrix Completion. CoRR abs/2112.14733 (2021) - 2020
- [j1]Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao:
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39(10): 3125-3136 (2020) - [i2]Trung Vu, Evgenia Chunikhina, Raviv Raich:
Perturbation expansions and error bounds for the truncated singular value decomposition. CoRR abs/2009.07542 (2020)
2010 – 2019
- 2019
- [c4]Trung Vu, Raviv Raich:
Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart. ICASSP 2019: 2917-2921 - [c3]Trung Vu, Raviv Raich:
Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion. ICASSP 2019: 3417-3421 - [c2]Trung Vu, Raviv Raich, Xiao Fu:
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. MLSP 2019: 1-6 - 2018
- [c1]Trung Vu, Raviv Raich:
Adaptive Step Size Momentum Method For Deconvolution. SSP 2018: 438-442 - 2017
- [i1]Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er:
Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions. CoRR abs/1711.04078 (2017)
Coauthor Index
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last updated on 2024-08-07 22:29 CEST by the dblp team
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