4 citations · 4 across the 3 of their papers we have counts for
5 papers
ActPlane: Programmable OS-Level Policy Enforcement for Agent Harnesses
Yusheng Zheng, Tianyuan Wu, Quanzhi Fu +6
AI agents increasingly run in production through harnesses, the software around the LLM, including an engine that enforces safety and effectiveness policies, e.g., 'run tests befor…
AgentCgroup: Understanding and Controlling OS Resources of AI Agents
Yusheng Zheng, Jiakun Fan, Quanzhi Fu +3
AI agents are increasingly deployed in multi-tenant cloud environments, where they execute diverse tool calls within sandboxed containers, each call with distinct resource demands…
Mining the Gold: Student-AI Chat Logs as Rich Sources for Automated Knowledge Gap Detection
Quanzhi Fu, Qiyu Wu, Dan Williams
With the significant increase in enrollment in computing-related programs over the past 20 years, lecture sizes have grown correspondingly. In large lectures, instructors face chal…
CognixShield: PoV-Guided Vulnerable API Usage Detection in Large Codebases via LLMs
Quanzhi Fu, Wang Lingxiang, Wenjia Song +4
The integration of open-source libraries in Java development introduces severe security risks through vulnerable APIs. Existing program analysis and deep learning tools face the ch…
Packet Routing with Graph Attention Multi-agent Reinforcement Learning
Xuan Mai, Quanzhi Fu, Yi Chen
Packet routing is a fundamental problem in communication networks that decides how the packets are directed from their source nodes to their destination nodes through some intermed…