الباحثون

Wang Luo

المنشورات 2

نسخة أولية وصول مفتوح

Toward Omni Multimodal Graph Foundation Model: A Topology-Driven Binding Approach

Xunkai Li, Chenxi Wan, Yinlin Zhu وآخرون · 2026

Multimodal graph foundation models (MGFMs) seek to learn generalizable representations from large-scale graphs with heterogeneous node modalities. However, real-world Multimodal-Attributed Graphs (MAGs) often contain incomplete node attributes, limiting the scale and diversity of available pretraining corpora. Besides, …

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TACD: Distilling Efficient Text-to-Motion Models via Terminal Amplification Control

Wei-Jin Huang, Yuan-Ming Li, Kun-Yu Lin وآخرون · 2026

Recent text-to-motion models have improved motion quality and instruction following, yet many-step denoising and large model components make deployment slow and memory-intensive. We present Terminal-Amplification-Controlled Distillation (TACD), an on-policy approach for training efficient motion generators from text pr …

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