Giang Tran - RankMe

25 papers A* 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	2D Empirical Transforms. Wavelets, Ridgelets and Curvelets revisited. CoRR Jérôme Gilles, Giang Tran, Stanley J. Osher
2023	J	`jnl`	Diffusion Random Feature Model. CoRR Esha Saha, Giang Tran
2023	J	`jnl`	Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences. CoRR Yanming Kang, Giang Tran, Hans De Sterck
2022	J	`jnl`	HARFE: Hard-Ridge Random Feature Expansion. CoRR Esha Saha, Hayden Schaeffer, Giang Tran
2022	J	`jnl`	SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics. CoRR Esha Saha, Lam Si Tung Ho, Giang Tran
2022	J	`jnl`	SRMD: Sparse Random Mode Decomposition. CoRR Nicholas Richardson, Hayden Schaeffer, Giang Tran
2021	J	`jnl`	Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data. CoRR Lam Si Tung Ho, Giang Tran
2021	J	`jnl`	Function Approximation via Sparse Random Features. CoRR Abolfazl Hashemi, Hayden Schaeffer, Robert Shi, Ufuk Topcu, Giang Tran, Rachel A. Ward
2020	J	`jnl`	Extracting Structured Dynamical Systems Using Sparse Optimization With Very Few Samples. Multiscale Model. Simul. Hayden Schaeffer, Giang Tran, Rachel A. Ward, Linan Zhang
2020	J	`jnl`	Feature learning for representing sparse networks based on random walks. Intell. Data Anal. Thanh Le, Giang Tran, Hoai Bac Le
2020	J	`jnl`	Recovery guarantees for polynomial coefficients from weakly dependent data with outliers. J. Approx. Theory Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward
2018	J	`jnl`	Extracting Sparse High-Dimensional Dynamics from Limited Data. SIAM J. Appl. Math. Hayden Schaeffer, Giang Tran, Rachel A. Ward
2018	J	`jnl`	Extracting structured dynamical systems using sparse optimization with very few samples. CoRR Hayden Schaeffer, Giang Tran, Rachel A. Ward, Linan Zhang
2018	J	`jnl`	Recovery guarantees for polynomial approximation from dependent data with outliers. CoRR Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward
2017	J	`jnl`	Exact Recovery of Chaotic Systems from Highly Corrupted Data. Multiscale Model. Simul. Giang Tran, Rachel A. Ward
2015	A*	`conf`	A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking. SIGIR Giang Tran, Ata Turk, Berkant Barla Cambazoglu, Wolfgang Nejdl
2015	J	`jnl`	An L SIAM J. Appl. Math. Giang Tran, Hayden Schaeffer, William M. Feldman, Stanley J. Osher
2015	J	`jnl`	Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging. IEEE Trans. Medical Imaging Giang Tran, Yonggang Shi
2015	J	`jnl`	Non-Local Retinex - A Unifying Framework and Beyond. SIAM J. Imaging Sci. Dominique Zosso, Giang Tran, Stanley J. Osher
2014	J	`jnl`	2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited. SIAM J. Imaging Sci. Jérôme Gilles, Giang Tran, Stanley J. Osher
2014	J	`jnl`	Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization. IEEE Trans. Medical Imaging Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga
2013	—	`conf`	A unifying retinex model based on non-local differential operators. Computational Imaging Dominique Zosso, Giang Tran, Stanley J. Osher
2013	—	`conf`	Adaptively Constrained Convex Optimization for Accurate Fiber Orientation Estimation with High Order Spherical Harmonics. MICCAI (3) Giang Tran, Yonggang Shi
2012	—	`conf`	Fast Diffusion Tensor Registration with Exact Reorientation and Regularization. MICCAI (2) Junning Li, Yonggang Shi, Giang Tran, Ivo D. Dinov, Danny J. J. Wang, Arthur W. Toga
2012	—	`conf`	Necessary and sufficient conditions for observability in power systems. ISGT Giang Tran, Arman Kiani, Anuradha M. Annaswamy, Yoav Sharon, Alexis L. Motto, Amit Chakraborty