Hoang Tran

Orcid: 0000-0001-7068-5621

According to our database1, Hoang Tran authored at least 26 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Orthogonally weighted 𝓁<sub>2, 1</sub> regularization for rank-aware joint sparse recovery: algorithm and analysis.
CoRR, 2023

Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing.
CoRR, 2023

Point Cloud Data Simulation and Modelling with Aize Workspace.
CoRR, 2023

2022
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions.
CoRR, 2022

Differentially Private Online-to-batch for Smooth Losses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Aggregation for Private Non-convex ERM.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Better SGD using Second-order Momentum.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Correcting Momentum with Second-order Information.
CoRR, 2021

Enabling long-range exploration in minimization of multimodal functions.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021


2020
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient.
CoRR, 2020

Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing.
CoRR, 2020

Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy.
CoRR, 2020

A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization.
CoRR, 2020

2019
A Weighted 𝓁<sub>1</sub>-Minimization Approach For Wavelet Reconstruction of Signals and Images.
CoRR, 2019

2018
Polynomial approximation via compressed sensing of high-dimensional functions on lower sets.
Math. Comput., 2018

Reconstruction of jointly sparse vectors via manifold optimization.
CoRR, 2018

2017
Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients.
Numerische Mathematik, 2017

An Empirical Study of the Adoption of an Indoor Location-Based Service: Finding Reading Rooms.
Int. J. Technol. Hum. Interact., 2017

2015
A Crank-Nicolson Leapfrog stabilization: Unconditional stability and two applications.
J. Comput. Appl. Math., 2015

Analysis of a Stabilized CNLF Method with Fast Slow Wave Splittings for Flow Problems.
Comput. Methods Appl. Math., 2015

2013
Analysis of Long Time Stability and Errors of Two Partitioned Methods for Uncoupling Evolutionary Groundwater-Surface Water Flows.
SIAM J. Numer. Anal., 2013

2012
Long time stability of four methods for splitting the evolutionary Stokes-Darcy problem into Stokes and Darcy subproblems.
J. Comput. Appl. Math., 2012

2006
Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task.
NeuroImage, 2006

Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs.
NeuroImage, 2006


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