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    Chapter and Conference Paper

    Discovering Multimodal Hierarchical Structures with Graph Neural Networks for Multi-modal and Multi-hop Question Answering

    Multimodal reasoning is a challenging task that requires understanding and integrating information from different modalities, such as text and image. Existing methods for multimodal reasoning often fail to cap...

    Qing Zhang, Haocheng Lv, Jie Liu, Zhiyun Chen… in Pattern Recognition and Computer Vision (2024)

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    Chapter and Conference Paper

    Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks

    Urban flow super-resolution (UFSR) can deduce fine-grained urban flow heatmap (UFH) based on coarse-grained observations and plays an essential role in urban planning (traffic prediction, public facility deplo...

    Xv Zhang, Yuanbo Xu, Ying Li, Yongjian Yang in Web and Big Data (2023)