Xiaokai Lin — 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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2025

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method

Haoqi He, Xiaokai Lin, Jiancai Chen, Yan Xiao

IJCAI 2025

Data poisoning attacks pose significant threats to machine learning models by introducing malicious data into the training process, thereby degrading model performance or manipulating predictions. Detecting and sifting out poisoned data is an important method to prevent data poisoning attacks. Limit

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