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Home/Authors/Zichen Liu

Zichen Liu

3 indexed papers

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

Publications per year

3
26

Top categories

Vision×2AI×1Crypto×1

Frequent co-authors

Qiuyu Wang2×
Qingyan Bai2×
Hanlin Wang2×
Ka Leong Cheng2×
Yujun Shen2×
Hao Ouyang2×

Research Timeline

2026
GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction

The paper introduces GRID, an end-to-end framework that significantly improves the construction of security knowledge graphs from cyber threat intelligence by replacing unstable LLM-based supervision with a stable, scripted task-bank reward system.

WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory

The paper introduces WorldDirector, a framework for creating controllable video worlds with persistent dynamic object memory and exact visual identities.

Infinite Worlds with Versatile Interactions

The paper introduces LingBot-World 2.0, an advanced version of a language model with unbounded interaction horizon, rapid response time, diverse interactive elements, and agentic harness integration.

Highlighted terms show continued research focus across papers

Papers

cs.CVEmpiricalRecentJul 8, 2026

Infinite Worlds with Versatile Interactions

Zelin Gao, Qiuyu Wang, Jiapeng Zhu, Jingye Chen +16 more

The paper introduces LingBot-World 2.0, an advanced version of a language model with unbounded interaction horizon, rapid response time, diverse interactive elements, and agentic harness integration.

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cs.CVEmpiricalRecent
Jul 2, 2026

WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory

Hanlin Wang, Hao Ouyang, Qiuyu Wang, Wen Wang +9 more

The paper introduces WorldDirector, a framework for creating controllable video worlds with persistent dynamic object memory and exact visual identities.

View →
cs.AIcs.CRRecentMay 15, 2026

GRID: Graph Representation of Intelligence Data for Security Text Knowledge Graph Construction

Liangyi Huang, Zichen Liu, Fei Shao, Shang Ma +4 more

The paper introduces GRID, an end-to-end framework that significantly improves the construction of security knowledge graphs from cyber threat intelligence by replacing unstable LLM-based supervision…

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