Giang Tran

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 14

Top Topics

Differential Operators

Diffusion Imaging

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Medical Imaging

Multiscale Model. Simul.

Publications

Esha Saha, Giang Tran
Diffusion Random Feature Model. CoRR (2023)
Yanming Kang, Giang Tran, Hans De Sterck
Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences. CoRR (2023)
Esha Saha, Hayden Schaeffer, Giang Tran
HARFE: Hard-Ridge Random Feature Expansion. CoRR (2022)
Esha Saha, Lam Si Tung Ho, Giang Tran
SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics. CoRR (2022)
Nicholas Richardson, Hayden Schaeffer, Giang Tran
SRMD: Sparse Random Mode Decomposition. CoRR (2022)
Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel Ward
Function Approximation via Sparse Random Features. CoRR (2021)
Lam Si Tung Ho, Giang Tran
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data. CoRR (2021)
Thanh Le, Giang Tran, Hoai Bac Le
Feature learning for representing sparse networks based on random walks. Intell. Data Anal. 24 (4) (2020)
Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel Ward
Recovery guarantees for polynomial coefficients from weakly dependent data with outliers. J. Approx. Theory 259 (2020)
Hayden Schaeffer, Giang Tran, Rachel Ward, Linan Zhang
Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples. Multiscale Model. Simul. 18 (4) (2020)
Hayden Schaeffer, Giang Tran, Rachel Ward
Extracting Sparse High-Dimensional Dynamics from Limited Data. SIAM J. Appl. Math. 78 (6) (2018)
Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel Ward
Recovery guarantees for polynomial approximation from dependent data with outliers. CoRR (2018)
Hayden Schaeffer, Giang Tran, Rachel Ward, Linan Zhang
Extracting structured dynamical systems using sparse optimization with very few samples. CoRR (2018)
Giang Tran, Rachel Ward
Exact Recovery of Chaotic Systems from Highly Corrupted Data. Multiscale Model. Simul. 15 (3) (2017)
Dominique Zosso, Giang Tran, Stanley J. Osher
Non-Local Retinex - A Unifying Framework and Beyond. SIAM J. Imaging Sci. 8 (2) (2015)
Giang Tran, Yonggang Shi
Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging. IEEE Trans. Medical Imaging 34 (11) (2015)
Giang Tran, Hayden Schaeffer, William M. Feldman, Stanley J. Osher
Penalty Method for General Obstacle Problems. SIAM J. Appl. Math. 75 (4) (2015)
Giang Tran, Ata Turk, Berkant Barla Cambazoglu, Wolfgang Nejdl
A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking. SIGIR (2015)
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) (2014)
Jérôme Gilles, Giang Tran, Stanley J. Osher
2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited. SIAM J. Imaging Sci. 7 (1) (2014)
Giang Tran, Yonggang Shi
Adaptively Constrained Convex Optimization for Accurate Fiber Orientation Estimation with High Order Spherical Harmonics. MICCAI (3) (2013)
Dominique Zosso, Giang Tran, Stanley J. Osher
A unifying retinex model based on non-local differential operators. Computational Imaging (2013)
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)
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)