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Xin Wang

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Aug 2026

Curriculum-GraphLLM: Joint Optimization of Architectures, Structures and Texts for Denoised Graph Neural Architecture Search.

This paper proposes Curriculum-GraphLLM, a novel graphLLM framework for joint optimization of architectures, structures, and texts for denoised graph neural architecture search to jointly optimize GNN architectures, graph structures, and textual semantics as a unified denoising process during architecture search.

Xin Wang, Haibo Chen, Linxin Xiao et al. · 0 citations
Jul 2026

Modularized Dynamic-Granularity Video LLM for Multi-Event Long Video Understanding

This work proposes MoD-VLLM, a novel Modularized Dynamic-Granularity Video LLM framework for multi-event long video understanding, which unifies temporal grounding and semantic understanding iteratively and self-reflectively and proposes a dynamic-granularity reinforcement learning strategy, allowing MoD-VLLM to learn...

Wei Feng, Xin Wang, Yuwei Zhan et al. · 0 citations

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