1 citations · 1 across the 7 of their papers we have counts for
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When Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows
Yuchen Ling, Shengcheng Yu, Zhenyu Chen +1
AI agents depend on repeated decisions to accomplish tasks, with large language models (LLMs) commonly serving as their core decision makers. The recent emergence of Jev offers an…
Security of Agent-Integrated Software: When Human Operations and Agent Actions Coexist
Ding Yang, Yuchen Ling, Shengcheng Yu +2
Agent-Integrated Software (AIS) embeds an intelligent agent in a conventional application, supporting both human operations and agent actions. Human operations let users make preci…
Software Engineering for and with GUI Agent
Shengcheng Yu, Yuchen Ling, Junyang Xing +3
GUI agents have advanced rapidly, producing a growing body of frameworks, benchmarks, and applications. However, this growth has outpaced the maturity of the field. GUI agents rema…
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation
Yuchen Ling, Shengcheng Yu, Zhenyu Chen +1
Large language model (LLM) agents are rapidly moving from conversational interfaces to software components that plan, invoke tools, maintain memory, and act on external environment…
Towards Automated Crowdsourced Testing via Personified-LLM
Shengcheng Yu, Yuchen Ling, Chunrong Fang +2
The rapid proliferation and increasing complexity of software demand robust quality assurance, with graphical user interface (GUI) testing playing a pivotal role. Crowdsourced test…