Wenzhi Xu — accepted AI-conference papers

2026

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks

Haoqi He, Yan Xiao, Wenzhi Xu, Ruoying Liu, Xiaokai Lin, Kai Wen

AAAI 2026technical

Estimating the global Lipschitz constant of neural networks is crucial for understanding and improving their robustness and generalization capabilities. However, precise calculations are NP-hard, and current semidefinite programming (SDP) methods face challenges such as high memory usage and slow pr

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2023

Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation

Yong Yang, Wenzhi Xu, Shuying Huang, Weiguo Wan

AAAI 2023technical

Images captured in low-light environments have problems of insufficient brightness and low contrast, which will affect subsequent image processing tasks. Although most current enhancement methods can obtain high-contrast images, they still suffer from noise amplification and color distortion. To add…

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