Giang Tran

According to our database, Giang Tran authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences.

Yanming Kang, Giang Tran, Hans De Sterck

CoRR, 2023

Diffusion Random Feature Model.

Esha Saha, Giang Tran

CoRR, 2023

2022

SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics.

Esha Saha, Lam Si Tung Ho, Giang Tran

CoRR, 2022

SRMD: Sparse Random Mode Decomposition.

Nicholas Richardson, Hayden Schaeffer, Giang Tran

CoRR, 2022

HARFE: Hard-Ridge Random Feature Expansion.

Esha Saha, Hayden Schaeffer, Giang Tran

CoRR, 2022

2021

Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data.

Lam Si Tung Ho, Giang Tran

CoRR, 2021

Function Approximation via Sparse Random Features.

Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel A. Ward

CoRR, 2021

2020

Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples.

Hayden Schaeffer, Giang Tran, Rachel A. Ward, Linan Zhang

Multiscale Model. Simul., 2020

Recovery guarantees for polynomial coefficients from weakly dependent data with outliers.

Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward

J. Approx. Theory, 2020

Feature learning for representing sparse networks based on random walks.

Thanh Le, Giang Tran, Hoai Bac Le

Intell. Data Anal., 2020

2018

Extracting Sparse High-Dimensional Dynamics from Limited Data.

Hayden Schaeffer, Giang Tran, Rachel A. Ward

SIAM J. Appl. Math., 2018

Recovery guarantees for polynomial approximation from dependent data with outliers.

Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward

CoRR, 2018

2017

Exact Recovery of Chaotic Systems from Highly Corrupted Data.

Giang Tran, Rachel A. Ward

Multiscale Model. Simul., 2017

2015

Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging.

Giang Tran, Yonggang Shi

IEEE Trans. Medical Imaging, 2015

Non-Local Retinex - A Unifying Framework and Beyond.

Dominique Zosso, Giang Tran, Stanley J. Osher

SIAM J. Imaging Sci., 2015

An L¹ Penalty Method for General Obstacle Problems.

Giang Tran, Hayden Schaeffer, William M. Feldman, Stanley J. Osher

SIAM J. Appl. Math., 2015

A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking.

Giang Tran, Ata Turk, Berkant Barla Cambazoglu, Wolfgang Nejdl

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014

Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization.

Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga

IEEE Trans. Medical Imaging, 2014

2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited.

Jérôme Gilles, Giang Tran, Stanley J. Osher

SIAM J. Imaging Sci., 2014

2013

Adaptively Constrained Convex Optimization for Accurate Fiber Orientation Estimation with High Order Spherical Harmonics.

Giang Tran, Yonggang Shi

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A unifying retinex model based on non-local differential operators.

Dominique Zosso, Giang Tran, Stanley J. Osher

Proceedings of the Computational Imaging XI, 2013

2012

Fast Diffusion Tensor Registration with Exact Reorientation and Regularization.

Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Necessary and sufficient conditions for observability in power systems.

Giang Tran, Arman Kiani, Anuradha M. Annaswamy, Yoav Sharon, Alexis L. Motto, Amit Chakraborty

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012