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    Article

    Knowledge distillation-based performance transferring for LSTM-RNN model acceleration

    The sequence data processing, such as signal classification, is an important part of pattern recognition. Long short-term memory recurrent neural networks (LSTM-RNN) are widely applicable across the sequence d...

    Hongbin Ma, Shuyuan Yang, Ruowu Wu, **aojun Hao… in Signal, Image and Video Processing (2022)

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    Co-learning saliency detection with coupled channels and low-rank factorization

    In this paper, a co-learning saliency detection method is proposed via coupled channels and low-rank factorization, by imitating the structural sparse coding and cooperative processing mechanism of two dorsal ...

    Yuteng Gao, Shuyuan Yang in Signal, Image and Video Processing (2020)

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    Article

    Deep geometric convolutional network for automatic modulation classification

    A recent trend of automatic modulation classification is to automatically learn high-level abstraction of signals, instead of manually designing features for further classification. In this paper, we propose a...

    Rundong Li, Chengtian Song, Yuxuan Song, **aojun Hao… in Signal, Image and Video Processing (2020)