Xiaohan Zheng

2 accepted papers

2026

vSpeedUI: Turning Past GUI Experience into Fast Executable Plans

Xiaohan Zheng, Yihong Chen, Haiquan Qiu, Quanming Yao

IJCAI 2026

LLM-based mobile GUI agents usually invoke large models for nearly every micro-action, making real-device automation slow even when similar workflows have been completed before. We present vSpeedUI, a public demo system that turns past GUI experience into fast executable plans. It organizes historic

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2025

Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution

Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao

IJCAI 2025

Effective decision-making on networks often relies on learning from graph-structured data, where Graph Neural Networks (GNNs) play a central role, but they take efforts to configure and tune. In this demo, we propose LLMNet, showing how to design GNN automated through Large Language Models. Our syst

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