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Home/Authors/Shuai Shao

Shuai Shao

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×3NLP×2Crypto×2Vision×2ML×2Society×1Multiagent×1

Frequent co-authors

Dongrui Liu2×
Yu Li2×
Zhonghao Yang2×
Peng Wang2×
Guanxu Chen2×
Yuejin Xie2×

Research Timeline

2026
AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex, open-world agentic scenarios.

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex open-world agent deployments.

Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration

This paper presents Clarus, a collaboration infrastructure for coordinating autonomous research agents towards web-scale scientific collaboration.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.CYcs.MAEmpiricalRecentJun 29, 2026

Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration

Zihan Guo, Zeyi Chen, Zhiyu Chen, Zicai Cui +14 more

This paper presents Clarus, a collaboration infrastructure for coordinating autonomous research agents towards web-scale scientific collaboration.

View →
cs.AIcs.CLcs.CRRecent
May 28, 2026

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang +46 more

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex, open-world agentic scenarios.

View →
cs.AIcs.CLcs.CRRecentMay 28, 2026

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang +46 more

The paper introduces AgentDoG 1.5, a lightweight and scalable alignment framework that significantly improves AI agent safety and security for complex open-world agent deployments.

View →