Huy Hoang Nguyen — accepted AI-conference papers

2025

Bayesian Optimization over Bounded Domains with the Beta Product Kernel

Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin

UAI 2025

Bayesian optimization with Gaussian processes (GP) is commonly used to optimize black-box functions. The Matérn and the Radial Basis Function (RBF) covariance functions are used frequently, but they do not make any assumptions about the domain of the function, which may limit their applicability in

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2025

GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning

Huy Hoang Nguyen, An Vuong, Anh Nguyen, Ian D. Reid, Minh Nhat Vu

IROS 2025

Grasp detection is a fundamental robotic task critical to the success of many industrial applications. However, current language-driven models for this task often struggle with cluttered images, lengthy textual descriptions, or slow inference speed. We introduce GraspMamba, a new language-driven gra

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