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2020 – today
- 2023
[i9]Esha Saha
, Giang Tran:
Diffusion Random Feature Model. CoRR abs/2310.04417 (2023)- [i8]Yanming Kang, Giang Tran, Hans De Sterck:
Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences. CoRR abs/2310.11960 (2023) - 2022
- [i7]Esha Saha, Hayden Schaeffer, Giang Tran:
HARFE: Hard-Ridge Random Feature Expansion. CoRR abs/2202.02877 (2022) - [i6]Nicholas Richardson, Hayden Schaeffer, Giang Tran:
SRMD: Sparse Random Mode Decomposition. CoRR abs/2204.06108 (2022) - [i5]Esha Saha, Lam Si Tung Ho, Giang Tran:
SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics. CoRR abs/2211.08277 (2022) - 2021
- [i4]Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel A. Ward:
Function Approximation via Sparse Random Features. CoRR abs/2103.03191 (2021) - [i3]Lam Si Tung Ho, Giang Tran:
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data. CoRR abs/2108.10825 (2021) - 2020
- [j10]Thanh Le, Giang Tran, Hoai Bac Le:
Feature learning for representing sparse networks based on random walks. Intell. Data Anal. 24(4): 873-886 (2020) - [j9]Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward:
Recovery guarantees for polynomial coefficients from weakly dependent data with outliers. J. Approx. Theory 259: 105472 (2020) - [j8]Hayden Schaeffer, Giang Tran, Rachel A. Ward, Linan Zhang:
Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples. Multiscale Model. Simul. 18(4): 1435-1461 (2020)
2010 – 2019
- 2018
- [j7]Hayden Schaeffer, Giang Tran, Rachel A. Ward:
Extracting Sparse High-Dimensional Dynamics from Limited Data. SIAM J. Appl. Math. 78(6): 3279-3295 (2018) - [i2]Hayden Schaeffer, Giang Tran, Rachel A. Ward, Linan Zhang:
Extracting structured dynamical systems using sparse optimization with very few samples. CoRR abs/1805.04158 (2018) - [i1]Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward:
Recovery guarantees for polynomial approximation from dependent data with outliers. CoRR abs/1811.10115 (2018) - 2017
- [j6]Giang Tran, Rachel A. Ward:
Exact Recovery of Chaotic Systems from Highly Corrupted Data. Multiscale Model. Simul. 15(3): 1108-1129 (2017) - 2015
- [j5]Giang Tran, Hayden Schaeffer, William M. Feldman, Stanley J. Osher:
An L1 Penalty Method for General Obstacle Problems. SIAM J. Appl. Math. 75(4): 1424-1444 (2015) - [j4]Dominique Zosso, Giang Tran, Stanley J. Osher:
Non-Local Retinex - A Unifying Framework and Beyond. SIAM J. Imaging Sci. 8(2): 787-826 (2015) - [j3]Giang Tran, Yonggang Shi:
Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging. IEEE Trans. Medical Imaging 34(11): 2320-2332 (2015) - [c5]Giang Tran, Ata Turk, Berkant Barla Cambazoglu, Wolfgang Nejdl:
A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking. SIGIR 2015: 153-162 - 2014
- [j2]Jérôme Gilles, Giang Tran, Stanley J. Osher:
2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited. SIAM J. Imaging Sci. 7(1): 157-186 (2014) - [j1]Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga:
Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization. IEEE Trans. Medical Imaging 33(5): 1005-1022 (2014) - 2013
- [c4]Dominique Zosso, Giang Tran, Stanley J. Osher:
A unifying retinex model based on non-local differential operators. Computational Imaging 2013: 865702 - [c3]Giang Tran, Yonggang Shi:
Adaptively Constrained Convex Optimization for Accurate Fiber Orientation Estimation with High Order Spherical Harmonics. MICCAI (3) 2013: 485-492 - 2012
- [c2]Giang Tran, Arman Kiani, Anuradha M. Annaswamy, Yoav Sharon, Alexis L. Motto, Amit Chakraborty:
Necessary and sufficient conditions for observability in power systems. ISGT 2012: 1-8 - [c1]Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga:
Fast Diffusion Tensor Registration with Exact Reorientation and Regularization. MICCAI (2) 2012: 138-145
Coauthor Index
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