most citedA Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures

2 citations · 4 across the 6 of their papers we have counts for

collaborators

8 papers

cs.DC2026

Towards Efficient HPC Systems for Agents: Challenges and Opportunities

Yunjia Zheng, Bintang Dwi Marthen, Zachary Pan +5

Coding agents have become real users of high-performance computing (HPC) systems, yet today's HPC abstractions, interfaces, and policies remain designed for human-driven workflows.…

cs.AI2026

FlowState: Execution State as Memory for Long-Horizon LLM Agents

Minghao Li, Bangyan Li, Zifan Wang +5

Long-horizon tasks require LLM agents to continually draw on information from earlier interactions. However, retaining the full history increases context costs, while compressing i…

cs.CR2026

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems

Shi Lin, Chenpei Wang, Peng Qian +4

LLM-based multi-agent systems (MAS) have exhibited remarkable capabilities in collaborative reasoning and decision-making, yet their interconnected communications introduce new sys…

cs.MA2026

Towards a Systems Foundation for Agentic Cloud Management

Minghao Li, Ziqian Liu, Ziyu Mao +5

Agentic cloud management is emerging as a practice to automate laborious operations, minimize toil, and improve responsiveness. Despite the rapid development of autonomous manageme…

cs.NI2026

The Model in the Middle: Toward AI-Native Real-Time Communication

Ziqian Liu, Minghao Li, Yiming Qiu

Full-duplex omni models are transforming human--AI interaction from turn-based exchanges into continuous multimodal conversations in which speaking, listening, and reasoning unfold…

cs.CR2026

MalURLBench: A Benchmark Evaluating Agents' Vulnerabilities When Processing Web URLs

Dezhang Kong, Zhuxi Wu, Shiqi Liu +8

LLM-based web agents have become increasingly popular for their utility in daily life and work. However, they exhibit critical vulnerabilities when processing malicious URLs: accep…

cs.CR2025★ 2 cited

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures

Dezhang Kong, Shi Lin, Zhenhua Xu +16

In recent years, Large-Language-Model-driven AI agents have exhibited unprecedented intelligence and adaptability. Nowadays, agents are undergoing a new round of evolution. They no…

cs.CR2025★ 2 cited

Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks

Wenpeng Xing, Minghao Li, Mohan Li +1

Embodied AI systems, including robots and autonomous vehicles, are increasingly integrated into real-world applications, where they encounter a range of vulnerabilities stemming fr…