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    Chapter and Conference Paper

    Efficient Supervised Hashing via Exploring Local and Inner Data Structure

    Recent years have witnessed the promising capacity of hashing techniques in tackling nearest neighbor search because of the high efficiency in storage and retrieval. Data-independent approaches (e.g., Locality...

    Shiyuan He, Guo Ye, Mengqiu Hu, Yang Yang, Fumin Shen in Databases Theory and Applications (2017)

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    Chapter and Conference Paper

    Jointly Learning Attentions with Semantic Cross-Modal Correlation for Visual Question Answering

    Visual Question Answering (VQA) has emerged as a prominent multi-discipline research problem in artificial intelligence. A number of recent studies are focusing on proposing attention mechanisms such as visual...

    Liangfu Cao, Lianli Gao, **gkuan Song, **ng Xu in Databases Theory and Applications (2017)

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    Chapter and Conference Paper

    Deep Semantic Indexing Using Convolutional Localization Network with Region-Based Visual Attention for Image Database

    In this paper, we introduce a novel deep semantic indexing method, a.k.a. captioning, for image database. Our method can automatically generate a natural language caption describing an image as a semantic refe...

    Mingxing Zhang, Yang Yang, Hanwang Zhang, Yanli Ji in Databases Theory and Applications (2017)

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    Chapter and Conference Paper

    A Deep Approach for Multi-modal User Attribute Modeling

    With the explosive growth of user-generated contents (e.g., texts, images and videos) on social networks, it is of great significance to analyze and extract people’s interests from the massive social media dat...

    **u Huang, Zihao Yang, Yang Yang, Fumin Shen, Ning **e in Databases Theory and Applications (2017)