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    Chapter and Conference Paper

    Network Pruning via Explicit Information Migration

    Neural network pruning is a widely used approach for reducing the inference cost of deep models in order to deploy on resource-limited settings. However, current pruning works lack attention to information mig...

    **cheng Wu, Dongfang Hu, Zhitong Zheng in Artificial Intelligence (2024)

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    Chapter and Conference Paper

    Convolutional Embedding Makes Hierarchical Vision Transformer Stronger

    Vision Transformers (ViTs) have recently dominated a range of computer vision tasks, yet it suffers from low training data efficiency and inferior local semantic representation capability without appropriate i...

    Cong Wang, Hongmin Xu, **ong Zhang, Li Wang, Zhitong Zheng in Computer Vision – ECCV 2022 (2022)