Search Results - "Liu, Chongjin"

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  1. 1

    Identification of Dual-Target Inhibitors for Epidermal Growth Factor Receptor and AKT: Virtual Screening Based on Structure and Molecular Dynamics Study by Yang, Hanyu, Zhang, Zhiwei, Liu, Qian, Yu, Jie, Liu, Chongjin, Lu, Wencai

    Published in Molecules (Basel, Switzerland) (01-11-2023)
    “…Epidermal growth factor EGFR is an important target for non-small cell lung (NSCL) cancer, and inhibitors of the AKT protein have been used in many cancer…”
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    Journal Article
  2. 2

    Mixed High-Order Non-Local Attention Network for Single Image Super-Resolution by Du, Xiaobiao, Jiang, Saibiao, Si, Yujuan, Xu, Lina, Liu, Chongjin

    Published in IEEE access (2021)
    “…Attention has been diffusely used in many tasks since it can guide network concentrating on the most important regions of an input pattern. Nevertheless, many…”
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    Journal Article
  3. 3

    High-resolution palmprint minutiae extraction based on Gabor feature by Feng, JuFu, Liu, ChongJin, Wang, Han, Sun, Bing

    Published in Science China. Information sciences (01-11-2014)
    “…Extracting effective minutiae is difficult for high-resolution palmprint, because of the strong influence from principal lines, creases, and other noises. In…”
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    Journal Article
  4. 4

    Spectral correspondence method for fingerprint minutia matching by Xiang Fu, Chongjin Liu, Junjie Bian, Jufu Feng

    “…This paper presents a spectral correspondence method for fingerprint matching. Minutia matching is formulated as recovering the dense sub-block in the…”
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    Conference Proceeding
  5. 5

    Complex Gaussian Mixture Model for fingerprint minutiae by Chongjin Liu, Junjie Bian, Xiang Fu, Jufu Feng

    “…Fingerprint representation is important in fingerprint recognition systems and has great impact on its performance. In this paper, we first introduce complex…”
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    Conference Proceeding
  6. 6

    A novel method of fingerprint minutiae extraction based on Gabor phase by Xin Gao, Xiaoguang Chen, Jia Cao, Zirui Deng, Chongjin Liu, Jufu Feng

    “…In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach…”
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    Conference Proceeding
  7. 7

    Face recognition with illumination distinction description by Yuelong Li, Jufu Feng, Chongjin Liu, Xiang Fu

    “…Varying lighting conditions may cause great face image appearance variance and hence seriously distort the distributions of within and between class distances,…”
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    Conference Proceeding
  8. 8

    A novel fingerprint matching algorithm using Minutiae Phase Difference Feature by Chongjin Liu, Jia Cao, Xin Gao, Xiang Fu, Jufu Feng

    “…In this paper, a new non-linear distortion robust fingerprint feature named Minutiae Phase Difference Feature (MPDF) is proposed, and used to measure the…”
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    Conference Proceeding
  9. 9

    Region Attention Network For Single Image Super-resolution by Du, Xiaobiao, Liu, Chongjin, Yang, Xiaoling

    “…The task of single image super-resolution (SISR) is a highly inverse problem because it is very challenging to reconstruct rich details from blurry images…”
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    Conference Proceeding
  10. 10

    Extended clique models: A new matching strategy for fingerprint recognition by Xiang Fu, Chongjin Liu, Junjie Bian, Jufu Feng, Han Wang, Ziwei Mao

    “…Establishing correspondences between minutiae sets is a fundamental issue in fingerprint recognition. This paper proposes a graph matching strategy. It…”
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    Conference Proceeding
  11. 11

    Expectation-Maximization Attention Cross Residual Network for Single Image Super-resolution by Du, Xiaobiao, Niu, Jie, Liu, Chongjin

    “…The depth of deep convolution neural network and self-attention mechanism is widely used for the single image super-resolution (SISR) task. Nevertheless, we…”
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    Conference Proceeding
  12. 12

    Mixed High-Order Non-Local Attention Network for Single Image Super-Resolution by Du, Xiaobiao, Jiang, Saibiao, Si, Yujuan, Xu, Lina, Liu, Chongjin

    Published in Access, IEEE (2021)
    “…Attention has been diffusely used in many tasks since it can guide network concentrating on the most important regions of an input pattern. Nevertheless, many…”
    Get full text
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