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Jia-Xin Gao

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Open access Jul 2026

AutoPSO: A Meta-Framework for Automated Particle Swarm Optimization

Comprehensive experiments on numerical benchmarks and neuroevolution robotic control tasks demonstrate that AutoPSO consistently discovers novel PSO variants that significantly outperform strong baselines and confirm that AutoPSO achieves increasing performance gains with larger swarm sizes.

Xin-Meng Yu, Jia-Xin Gao, Jianguo Zhang et al. · 0 citations
Preprint Aug 2026

Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks

This work proposes BMAT (Bilevel-Minimax Adversarial Transfer), an integrated bottom-up solver that combines a Soft Weight Modulator and an Implicit Gradient Approximator to enable ternary coupling among initialization, surrogate adaptation, and perturbation optimization.

Yaohua Liu, Yifan Guo, Jiaxin Gao · 0 citations

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