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Home/Authors/Man Li

Man Li

3 indexed papers

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

Publications per year

3
26

Top categories

Vision×3ML×3AI×2NLP×2Crypto×2Graphics×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.

Online Neural Space Time Memory for Dynamic Novel View Synthesis

The paper proposes a method for online novel view synthesis from multi-view streaming videos, decoupling memory update and application frequencies, using cross-view attention, Memory Loss, and Memory Caching.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.GRcs.LGEmpiricalRecentJul 16, 2026

Online Neural Space Time Memory for Dynamic Novel View Synthesis

Baback Elmieh, Lynn Tsai, Zeman Li, Srinivas Kaza +7 more

The paper proposes a method for online novel view synthesis from multi-view streaming videos, decoupling memory update and application frequencies, using cross-view attention, Memory Loss, and Memory…

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 →