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    Chapter and Conference Paper

    OCET: One-Dimensional Convolution Embedding Transformer for Stock Trend Prediction

    Due to the strong data fitting ability of deep learning, the use of deep learning for quantitative trading has gradually sprung up in recent years. As a classical problem of quantitative trading, Stock Trend P...

    Peng Yang, Lang Fu, Jian Zhang, Guiying Li in Bio-Inspired Computing: Theories and Appli… (2023)

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    Chapter and Conference Paper

    Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking

    Person re-identification is a challenging task aiming to identify the same person across different cameras. However, most of existing image-based person re-identification methods neglect the spatial and tempo...

    Kai Han, **ho Lee, Lang Huang, Fangcheng Liu in Advances in Swarm Intelligence (2021)