Hoang Tran

Portland State University — United States

Engineering · Physical Sciences

14h-index708citations81works0.32yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(22), Advanced Numerical Methods in Computational Mathematics(11), Probabilistic and Robust Engineering Design(9), Photoacoustic and Ultrasonic Imaging(8), Image and Signal Denoising Methods(7)

Publications81 total

Not All Tokens are Guided Equal: Improving Guidance in Visual Autoregressive Models
arXiv (Cornell University)·2025Open Access
On the convergence rates of moment-SOS hierarchies approximation of truncated moment sequences
arXiv (Cornell University)·2025Open Access
Effects of Calibration and De-Embedding on Material Parameter Extraction Using Coaxial Airline
2025
Surrogate modeling for MHD flows in liquid metal fusion blankets: Initial assessment with analytical solutions
Fusion Engineering and Design·2025· 1 cited
Sum-of-Squares Hierarchy for the Gromov Wasserstein Problem
arXiv (Cornell University)·2025Open Access
Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing
Computational Optimization and Applications·2025
Advanced Compressive Sensing and Dynamic Sampling for 4D‐STEM Imaging of Interfaces(Small Methods 1/2025)
Small Methods·2025Open Access
Surrogate Modeling for Mhd Flows in Liquid Metal Fusion Blankets: Initial Assessment with Analytical Solutions
SSRN Electronic Journal·2025Open Access
Compressive‐Sensing‐Assisted Mixed Integer Optimization for Dynamical System Discovery With Highly Noisy Data
Numerical Methods for Partial Differential Equations·2024· 1 cited
Agricultural Landscape Understanding At Country-Scale
arXiv (Cornell University)·2024Open Access
Advanced Compressive Sensing and Dynamic Sampling for 4D‐STEM Imaging of Interfaces
Small Methods·2024· 2 citedOpen Access
Uncertainty Quantification of Capacitor Switching Transient Location using Machine Learning
2024
Reevaluating Theoretical Analysis Methods for Optimization in Deep Learning
arXiv (Cornell University)·2024Open Access
Private Zeroth-Order Nonsmooth Nonconvex Optimization
arXiv (Cornell University)·2024Open Access
Convergence rates of S.O.S hierarchies for polynomial semidefinite programs
arXiv (Cornell University)·2024Open Access
Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis
arXiv (Cornell University)·2023Open Access
Boosting black-box adversarial attack via exploiting loss smoothness
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023Open Access
Enabling Long-range Exploration in Minimization of Multimodal Functions
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023· 5 citedOpen Access
Material Model Parameters Optimization in Liquid Mercury Target Dynamics Simulation With Machine Learning Surrogates
2023
Uncertainty Quantification of Capacitor Switching Transient Location Using Machine Learning
IEEE Transactions on Power Systems·2023· 5 citedOpen Access
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Frequent Co-authors

Clayton Webster(14), Guannan Zhang(14), William Layton(7), Cătălin Trenchea(6), Dan Lu(5), Majdi I. Radaideh(4), Drew Winder(4), Jiaxin Zhang(4), Anh Tran(3), Sarma Gorti(3), Sarah Cousineau(3), Nick Dexter(2), Yiming Xu(2), Akil Narayan(2), Nan Jiang(2), Michaela Kubacki(2), Marina Moraiti(2), Justin Mach(2), Lianshan Lin(2), Abdellah Chkifa(1)