Author

Xiaoou Liu

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Preprint Aug 2026

AndroidReality: How Far Are Mobile Agents from the Real World?

This work introduces AndroidReality, a perturbation-based framework for evaluating and improving the robustness of mobile agents, and builds a perturbed mobile benchmark on top of AndroidWorld with realistic and controllable perturbation injections, enabling systematic robustness evaluation of mobile agents.

Xia-Oou Liu, Longchao Da, Hanyang Chen et al. · 2 citations

#graph neural networks Sep 2026

Uncertainty Quantification for Physics-Informed Traffic Graph Networks with Adversarial Attacks

This paper integrates multiple UQ baseline methods with physics-informed modeling to systematically investigate how physical constraints influence uncertainty estimation in traffic forecasting and proposes a physics-informed loss function that enhances the model's ability to capture physically consistent dynamics and i...

Tianshu Bao, D. T. Nguyen, Xia-Oou Liu et al. · ACM Transactions on Cyber-Ph... · 0 citations

#artificial intelligence Preprint Sep 2026

MASkills: Continual Skills Optimization for Multi-Agent LLM Systems

MASkills presents a new agent-optimization pipeline that integrates skill-conditioned credit assignment, hierarchical credit aggregation, and momentum-smoothed optimization, enabling agent skill libraries to evolve through refinement, induction, consolidation, and pruning.

Huaiyuan Yao, Xia-Oou Liu, Charles Fleming et al. · 1 citation