Search Results - "Li, Lizhao"

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  1. 1

    Image Compressive Sensing via Hybrid Nonlocal Sparsity Regularization by Li, Lizhao, Xiao, Song, Zhao, Yimin

    Published in Sensors (Basel, Switzerland) (03-10-2020)
    “…This paper focuses on image compressive sensing (CS). As the intrinsic properties of natural images, nonlocal self-similarity and sparse representation have…”
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    Journal Article
  2. 2

    A Constrained Coding-Aware Routing Scheme in Wireless Ad-Hoc Networks by Zhao, Yimin, Xiao, Song, Gan, Hongping, Li, Lizhao, Xiao, Lina

    Published in Sensors (Basel, Switzerland) (15-05-2019)
    “…In wireless multi-hop networks, instead of using the traditional store-and-forward method, the relay nodes can exploit the network coding idea to encode and…”
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    Journal Article
  3. 3

    Joint group and residual sparse coding for image compressive sensing by Li, Lizhao, Xiao, Song, Zhao, Yimin

    Published in Neurocomputing (Amsterdam) (10-09-2020)
    “…Nonlocal self-similarity and group sparsity have been widely utilized in image compressive sensing (CS). Most existing methods utilize either internal priors…”
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    Journal Article
  4. 4

    A Rumor Events Detection Method Based on Deep Bidirectional GRU Neural Network by Li, Lizhao, Cai, Guoyong, Chen, Nannan

    “…Traditional rumors detection methods often rely on statistical analysis to manually select features to construct classifiers. Not only is the message feature…”
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    Conference Proceeding
  5. 5

    Joint group and residual sparse coding for image compressive sensing by Li, Lizhao, Xiao, Song

    Published 22-01-2019
    “…Nonlocal self-similarity and group sparsity have been widely utilized in image compressive sensing (CS). However, when the sampling rate is low, the internal…”
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    Journal Article
  6. 6

    Anisotropic NdFeB/SmCoCuFeZr composite bonded magnet prepared by warm compaction process by Wu, Mengling, Li, Yuping, Wang, Xin, Chen, Lizhao, Mu, Yaozhao

    Published in Journal of rare earths (01-12-2017)
    “…Anisotropic NdFeB/SmCoCuFeZr composite bonded magnets were prepared by warm compaction process. The effects of adding SmCoCuFeZr magnetic powder on the…”
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    Journal Article
  7. 7