collaborators

5 papers

cs.AI2026

AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction

Shanhui Zhao, Jiacheng Liu, Guohong Liu +13

AI agents are driving a new software paradigm, with the ability to autonomously call tools, extract information, manage memory, and complete tasks that span applications and data s…

cs.AI2026

ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis

Guohong Liu, Jialei Ye, Pengzhi Gao +4

GUI agents powered by large language models are advancing rapidly, creating urgent needs for evaluation and training based on realistic environments. However, directly doing so in…

cs.AI2026

Joint Agent Memory and Exploration Learning via Novelty Signals

Shizuo Tian, Xiaohong Weng, Rui Kong +9

In open-ended environments, exploration is fundamental for autonomous agents, yet current language model agents struggle with this. Effective exploration requires memory, but retai…

cs.AI2026

AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management

Shizuo Tian, Hao Wen, Yuxuan Chen +6

The rapid development of mobile GUI agents has stimulated growing research interest in long-horizon task automation. However, building agents for these tasks faces a critical bottl…

cs.CR2026

Mobile GUI Agents under Real-world Threats: Are We There Yet?

Guohong Liu, Jialei Ye, Jiacheng Liu +5

Recent years have witnessed a rapid development of mobile GUI agents powered by large language models (LLMs), which can autonomously execute diverse device-control tasks based on n…