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  1. No Access

    Article

    Clustering-based multi-featured self-supervised learning for human activities and video retrieval

    Human-centric content-based video retrieval has emerged as a prominent area of research due to its diverse applications. However, this task presents several inherent challenges, including end-to-end image clas...

    Muhammad Hafeez Javed, Zeng Yu, Taha M. Rajeh, Fahad Rafique in Applied Intelligence (2024)

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    Article

    Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach

    Gaussian mixture model (GMM) is widely used in many domains, e.g. data mining. The unsupervised learning of the finite mixture (ULFM) model based on the minimum message length (MML) criterion for mixtures enab...

    Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang in International Journal of Machine Learning … (2024)

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    Article

    learning anomalous human actions using frames of interest and decoderless deep embedded clustering

    Inconsistent data and unclear labels make it difficult to learn anomalous behavior from video. Therefore, methods based on deep clustering are now trending in this area. A deep clustering strategy usually reli...

    Muhammad Hafeez Javed, Zeng Yu, Tianrui Li in International Journal of Machine Learning … (2023)

  4. No Access

    Article

    Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning

    Human actions are sequential, and structured patterns of the body parts and their movements. In this paper, we present a hybrid two-stream convolutional neural network (H2SCNN) for the recognition of actions f...

    Muhammad Hafeez Javed, Zeng Yu, Tianrui Li in International Journal of Machine Learning … (2022)

  5. Article

    Open Access

    A deep learning method for lincRNA detection using auto-encoder algorithm

    RNA sequencing technique (RNA-seq) enables scientists to develop novel data-driven methods for discovering more unidentified lincRNAs. Meantime, knowledge-based technologies are experiencing a potential revolu...

    Ning Yu, Zeng Yu, Yi Pan in BMC Bioinformatics (2017)

  6. No Access

    Chapter and Conference Paper

    Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation

    Deep Neural Networks show their promise over traditional neural network on DNA genomic analysis. However, due to the uncertainty of DNA sequence data, it performs differently in various encoding schemes. In th...

    Ning Yu, Zeng Yu, Feng Gu, Yi Pan in Bioinformatics Research and Applications (2017)

  7. No Access

    Chapter and Conference Paper

    Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks

    MicroRNA refers to a set of small non-coding RNA which plays important roles in regulating specific mRNA targets and suppressing their expression. Previous researches have verified that the deregulations of mi...

    Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang in Bioinformatics Research and Applications (2016)

  8. No Access

    Chapter and Conference Paper

    A Low-Complexity Tag Number Estimate in EFSA Protocol for RFID Tag Anti-collision

    In many RFID applications, readers need repeatedly identify tags that have been identified in a previous cycle of identification. Some anti-collision protocols, such as efficient framed slotted aloha (EFSA) pr...

    Zeng Yu, Wu Haifeng, Tan Yuan, Liu **g in Informatics in Control, Automation and Robotics (2012)

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    Article

    Location of the protein ofRSG6, a predominantly expressed gene in rice sperm cells

    Using Western blot and immunohistochemistry analysis, here the localization ofRSG6 protein was determined in various tissues of rice. Western blot showed only a weak signal in mature pollen. Nevertheless, accordi...

    Lan Li-qiong, Miao chen, Zeng yu in Wuhan University Journal of Natural Scienc… (2004)

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    Article

    Cloning and expression of a new Tibetan hulless barley (Hordeum vulgare) β-1,3-glucanase gene

    A new full-length β-1,3-glucanase cDNA was obtained by RT-PCR and RACE techniques from Tibet hulless barley and its complete gene sequence obtained by DNA Walking. Sequence alignment with the BLAST program sho...

    Zeng Yu, Xu Ying, Tang Lin, Qiang **ao-Lin, Chen Fang in Biotechnology Letters (2003)

  11. No Access

    Article

    RAPD markers in diversity detection and variety identification of Tibetan hulless barley

    RAPD markers were generated from 6 groups of Tibetan hulless barley (23 varieties): Lasagoumang, QB, Zangqing, Guoluo, Dongqing, and Hymalayia. Of the 48 fragments generated by 5 selected primers (among 68 pri...

    Zeng Yu, Lan Li-Qiong, Luo Huan, Bai Jie, Yang Man-Ye in Plant Molecular Biology Reporter (2002)