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Home/Authors/Min Wei

Min Wei

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

AI×3Vision×2Image and Video Processing×1ML×1NLP×1Multiagent×1

Frequent co-authors

Zhengxuan Wei1×
Xu Guo1×
Xinghui Li1×
Xunzhi Xiang1×
Yiran Zhu1×
Qiulin Wang1×

Research Timeline

2026
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning

LegalGraphRAG introduces a multi-agent, hierarchical graph retrieval-augmented generation framework to overcome the limitations of traditional RAG in legal domains, achieving state-of-the-art reliable legal reasoning.

In-Context Reward Adaptation for Robust Preference Modeling

The paper proposes In-Context Reward Adaptation, a transformer-based framework that uses in-context learning and auxiliary signals (like human response time) to robustly model diverse and unseen human preferences for better AI alignment.

Geometry-Aware Implicit Memory for Video World Models

The paper proposes GIM-World, a geometry-aware implicit memory framework that significantly improves long-horizon video world models by explicitly encoding 3D scene geometry into a compact memory state.

Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh Tokenization

The paper proposes a novel render-free framework that conditions video diffusion models directly on compressed 3D human mesh tokens, enabling robust 3D-aware human motion control without relying on rendered 2D guidance.

Highlighted terms show continued research focus across papers

Papers

cs.CVRecentJun 1, 2026

Geometry-Aware Implicit Memory for Video World Models

Zhengxuan Wei, Xu Guo, Xinghui Li, Xunzhi Xiang +7 more

The paper proposes GIM-World, a geometry-aware implicit memory framework that significantly improves long-horizon video world models by explicitly encoding 3D scene geometry into a compact memory stat…

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cs.CVcs.AIeess.IVRecentJun 1, 2026

Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh Tokenization

Jingyun Liang, Min Wei, Shikai Li, Yizeng Han +4 more

The paper proposes a novel render-free framework that conditions video diffusion models directly on compressed 3D human mesh tokens, enabling robust 3D-aware human motion control without relying on re…

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cs.LGcs.AIRecentMay 28, 2026

In-Context Reward Adaptation for Robust Preference Modeling

Zhenyu Sun, Zheng Xu, Ermin Wei

The paper proposes In-Context Reward Adaptation, a transformer-based framework that uses in-context learning and auxiliary signals (like human response time) to robustly model diverse and unseen human…

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cs.CLcs.AIcs.MARecentMay 27, 2026

LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning

Zerui Chen, Qinggang Zhang, Zhishang Xiang, Zhimin Wei +4 more

LegalGraphRAG introduces a multi-agent, hierarchical graph retrieval-augmented generation framework to overcome the limitations of traditional RAG in legal domains, achieving state-of-the-art reliable…

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