Search Results - "Peng Yali"

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  1. 1

    A local region-based Chan–Vese model for image segmentation by Liu, Shigang, Peng, Yali

    Published in Pattern recognition (01-07-2012)
    “…In this paper, a new region-based active contour model, namely local region-based Chan–Vese (LRCV) model, is proposed for image segmentation. By considering…”
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    Journal Article
  2. 2

    Apabetalone, a BET protein inhibitor, inhibits kidney damage in diabetes by preventing pyroptosis via modulating the P300/H3K27ac/PLK1 axis by Wang, Min, Huang, Zhaohui, Li, Xin, He, Ping, Sun, He, Peng, Yali, Fan, QiuLing

    Published in Pharmacological research (01-09-2024)
    “…Many inflammatory disorders, including diabetic kidney disease (DKD), are associated with pyroptosis, a type of inflammation-regulated cell death. The purpose…”
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    Journal Article
  3. 3

    Ethnic Disparity in Chinese Theft Sentencing: A Modified Focal Concerns Perspective by Peng, Yali, Cheng, Jinhua

    Published in China review (Hong Kong, China : 1991) (01-08-2022)
    “…This article examines the ethnic disparity in Chinese sentencing. It argues that the dominant "focal concerns perspective" cannot be fully applied in the…”
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    Journal Article
  4. 4

    Compound dictionary learning based classification method with a novel virtual sample generation Technology for Face Recognition by Li, Liping, Peng, Yali, Liu, Shigang

    Published in Multimedia tools and applications (01-08-2020)
    “…Face recognition has earned its high reputation for many years since its considerable advances. However, it is still faced with the challenge of the small…”
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  5. 5

    Efficacy of subthreshold micropulse laser photocoagulation therapy versus anti-vascular endothelial growth factor therapy for refractory macular edema secondary to non-ischemic branch retinal vein occlusion by Feng, Xiaoxiao, Li, Yunqin, Wu, Min, Dan, Aihua, Yang, Wenzhi, Peng, Yali, Xiao, Libo

    Published in Journal of international medical research (01-08-2023)
    “…Objective To assess the efficacy of subthreshold micropulse laser photocoagulation (SMLP) therapy versus anti-vascular endothelial growth factor (anti-VEGF)…”
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  6. 6

    A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning by Wang, Yijin, Peng, Yali, Liu, Shigang, Ge, Bao, Li, Jun

    Published in Pattern analysis and applications : PAA (01-08-2023)
    “…With the recent surge of interest in machine learning, Positive and Unlabeled learning (PU learning) has also attracted much attention of scholars. A key…”
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  7. 7

    The relationship between demographic factors and syncopal symptom in pediatric vasovagal syncope by Wang, Shuo, Peng, Yali, Zou, Runmei, Wang, Yuwen, Cai, Hong, Li, Fang, Luo, Xuemei, Zhang, Juan, He, Zhixiang, Wang, Cheng

    Published in Scientific reports (20-12-2023)
    “…This research proposed to retrospectively analyze 20 years of clinical data and investigate the relationship between demographic factors and syncopal symptom…”
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  8. 8

    Pre‐training of gated convolution neural network for remote sensing image super‐resolution by Peng, Yali, Wang, Xuning, Zhang, Junwei, Liu, Shigang

    Published in IET image processing (01-04-2021)
    “…Many very deep neural networks are proposed to obtain accurate super‐resolution reconstruction of remote sensing images. However, the deeper the network for…”
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  9. 9

    Comparative transcriptome analysis of purple-fleshed sweet potato and its yellow-fleshed mutant provides insight into the transcription factors involved in anthocyanin biosynthesis in tuberous root by Dong, Wen, Tang, Linfei, Peng, Yali, Qin, Yuzhi, Lin, Yuan, Xiong, Xingyao, Hu, Xinxi

    Published in Frontiers in plant science (08-08-2022)
    “…In various plant species, many transcription factors (TFs), such as MYB, bHLH, and WD40, have been identified as regulators of anthocyanin biosynthesis in…”
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  10. 10

    Singular value decomposition-based virtual representation for face recognition by Liu, Shigang, Wang, Yuhong, Peng, Yali, Hou, Sujuan, Zhang, Keyou, Wu, Xiaojun

    Published in Machine vision and applications (01-03-2020)
    “…In the field of face recognition, a key issue is whether there are a sufficient number of face training samples with valid information. Due to the complexity…”
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  11. 11

    Spatial proteomics: unveiling the multidimensional landscape of protein localization in human diseases by Wu, Mengyao, Tao, Huihui, Xu, Tiantian, Zheng, Xuejia, Wen, Chunmei, Wang, Guoying, Peng, Yali, Dai, Yong

    Published in Proteome science (20-09-2024)
    “…Spatial proteomics is a multidimensional technique that studies the spatial distribution and function of proteins within cells or tissues across both spatial…”
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  12. 12

    Learner posture recognition via a fusing model based on improved SILTP and LDP by Kuang, Yuqian, Guo, Min, Peng, Yali, Pei, Zhao

    Published in Multimedia tools and applications (01-11-2019)
    “…The learner’s body posture reflects the learner’s learning state. The learner’s posture recognition can effectively evaluate their learning state, which plays…”
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  13. 13

    A supervised dimensionality reduction method-based sparse representation for face recognition by Zhang, Xinxin, Yali, Peng, Liu, Shigang, Wu, Jie, Ren, Pingan

    Published in Journal of modern optics (28-04-2017)
    “…The sparse representation-based classification (SRC) method is a powerful tool to present high-dimensionality data and its superiority in many fields,…”
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  14. 14

    Structural and mechanical characteristics of film using modified corn starch by the same two chemical processes used in different sequences by Qiu, Liping, Hu, Fei, Peng, Yali

    Published in Carbohydrate polymers (16-01-2013)
    “…► Cross-linking and esterification were conducted to get complexly modified corn starches in different sequences. ► Films were made from dual modified…”
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  15. 15

    Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition by Liu, Shigang, Li, Lingjun, Jin, Ming, Hou, Sujuan, Peng, Yali

    Published in IEEE access (2020)
    “…Sparse representation based classification method has led to a wide variety of extensions of representation based methods for face recognition. All of these…”
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  16. 16

    LA-ESN: A Novel Method for Time Series Classification by Sheng, Hui, Liu, Min, Hu, Jiyong, Li, Ping, Peng, Yali, Yi, Yugen

    Published in Information (Basel) (01-01-2023)
    “…Time-series data is an appealing study topic in data mining and has a broad range of applications. Many approaches have been employed to handle time series…”
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  17. 17

    The relevance of the non-invasive biomarkers lncRNA GAS5/miR-21 ceRNA regulatory network in the early identification of diabetes and diabetic nephropathy by Sun, He, Chen, Tong, Li, Xin, Zhu, Yonghong, Zhang, Shuang, He, Ping, Peng, Yali, Fan, Qiuling

    Published in Diabetology and metabolic syndrome (11-10-2023)
    “…Background To investigate the diagnostic value of serum lncRNA growth arrest-specific transcript 5 (lncRNA GAS5) and microRNA-21 (miR-21) in patients with type…”
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  18. 18

    Improved sparse representation method for image classification by Shigang Liu, Lingjun Li, Yali Peng, Guoyong Qiu, Tao Lei

    Published in IET computer vision (01-06-2017)
    “…Among all image representation and classification methods, sparse representation has proven to be an extremely powerful tool. However, a limited number of…”
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  19. 19

    Fast Single Image Super-Resolution Via Dilated Residual Networks by Lu, Zhang, Yu, Zhang, Yali, Peng, Shigang, Liu, Xiaojun, Wu, Gang, Lu, Yuan, Rao

    Published in IEEE access (01-01-2019)
    “…Recently, deep convolutional neural networks (CNNs) have been attracting considerable attention in single image super-resolution. Some CNN-based methods, such…”
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  20. 20

    Virtual samples and sparse representation‐based classification algorithm for face recognition by Yali Peng, Lingjun Li, Shigang Liu, Jun Li, Han Cao

    Published in IET computer vision (01-03-2019)
    “…Due to the environment and equipment are not controllable, the process of face image acquisition is inevitable to be interfered by external factors, and there…”
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