Xiaotian Wu — accepted AI-conference papers

2025

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li

AAAI 2025technical

The Weber location problem is widely used in several artificial intelligence scenarios. However, the gradient of the objective does not exist at a considerable set of singular points. Recently, a de-singularity subgradient method has been proposed to fix this problem, but it can only handle the q-th…

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2024

A De-singularity Subgradient Approach for the Extended Weber Location Problem

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen

IJCAI 2024poster

The extended Weber location problem is a classical optimization problem that has inspired some new works in several machine learning scenarios recently. However, most existing algorithms may get stuck due to the singularity at the data points when the power of the cost function 1\<= q<2, such as the…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗