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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...
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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...
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Chapter and Conference Paper
An Algorithm for Describing the Convex and Concave Shape of Protein Surface
Protein surface plays a key role in many biological processes. Most proteins participate in the life activities of cells via binding to other proteins or ligand molecules. It is an important work to study prot...