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Home/Authors/Ran He

Ran He

3 indexed papers

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

Publications per year

3
26

Top categories

AI×2Crypto×2Vision×2NLP×1Robotics×1

Frequent co-authors

Shuo Lu1×
Yinuo Xu1×
Kecheng Yu1×
Siru Jiang1×
Yongcan Yu1×
Yubin Wang1×

Research Timeline

2026
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses

This survey provides a comprehensive, structured review of safety research in Embodied AI, analyzing attacks and defenses across the entire embodied pipeline to guide the development of safe, robust, and reliable real-world agents.

Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection

The paper introduces Semantic-level UI Element Injection, a novel red-teaming technique that overlays misleading UI elements onto screenshots to significantly improve the attack success rate against safety-aligned GUI agents.

WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis

The paper introduces WorldCoder-Bench, a comprehensive benchmark and evaluation protocol for testing LLMs' ability to autonomously generate complex, physically grounded, and interactive 3D web worlds.

Highlighted terms show continued research focus across papers

Papers

cs.AIRecentJun 1, 2026

WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis

Shuo Lu, Yinuo Xu, Kecheng Yu, Siru Jiang +7 more

The paper introduces WorldCoder-Bench, a comprehensive benchmark and evaluation protocol for testing LLMs' ability to autonomously generate complex, physically grounded, and interactive 3D web worlds.

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cs.CRcs.CLcs.CVRecentApr 9, 2026

Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection

Wenkui Yang, Chao Jin, Haisu Zhu, Weilin Luo +6 more

The paper introduces Semantic-level UI Element Injection, a novel red-teaming technique that overlays misleading UI elements onto screenshots to significantly improve the attack success rate against s…

View →
cs.CRcs.AIcs.CVRecentMar 28, 2026

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses

Xiao Li, Xiang Zheng, Yifeng Gao, Xinyu Xia +34 more

This survey provides a comprehensive, structured review of safety research in Embodied AI, analyzing attacks and defenses across the entire embodied pipeline to guide the development of safe, robust,…

View →