Search Results - "Ding, Zhengming"

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  1. 1

    Deep Domain Generalization With Structured Low-Rank Constraint by Ding, Zhengming, Fu, Yun

    Published in IEEE transactions on image processing (01-01-2018)
    “…Domain adaptation nowadays attracts increasing interests in pattern recognition and computer vision field, since it is an appealing technique in fighting off…”
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    Journal Article
  2. 2

    Robust Transfer Metric Learning for Image Classification by Ding, Zhengming, Fu, Yun

    Published in IEEE transactions on image processing (01-02-2017)
    “…Metric learning has attracted increasing attention due to its critical role in image analysis and classification. Conventional metric learning always assumes…”
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    Journal Article
  3. 3

    MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification by Wang, Tongxin, Shao, Wei, Huang, Zhi, Tang, Haixu, Zhang, Jie, Ding, Zhengming, Huang, Kun

    Published in Nature communications (08-06-2021)
    “…To fully utilize the advances in omics technologies and achieve a more comprehensive understanding of human diseases, novel computational methods are required…”
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    Journal Article
  4. 4

    Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation by Li, Shuang, Song, Shiji, Huang, Gao, Ding, Zhengming, Wu, Cheng

    Published in IEEE transactions on image processing (01-09-2018)
    “…Domain adaptation manages to build an effective target classifier or regression model for unlabeled target data by utilizing the well-labeled source data but…”
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    Journal Article
  5. 5

    Semi-supervised Deep Domain Adaptation via Coupled Neural Networks by Zhengming Ding, Nasrabadi, Nasser M., Yun Fu

    Published in IEEE transactions on image processing (01-11-2018)
    “…Domain adaptation is a promising technique when addressing limited or no labeled target data by borrowing well-labeled knowledge from the auxiliary source…”
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    Journal Article
  6. 6

    Adaptive Adversarial Network for Source-free Domain Adaptation by Xia, Haifeng, Zhao, Handong, Ding, Zhengming

    “…Unsupervised Domain Adaptation solves knowledge transfer along with the coexistence of well-annotated source domain and unlabeled target instances. However,…”
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    Conference Proceeding
  7. 7

    Deeply Learned View-Invariant Features for Cross-View Action Recognition by Kong, Yu, Ding, Zhengming, Li, Jun, Fu, Yun

    Published in IEEE transactions on image processing (01-06-2017)
    “…Classifying human actions from varied views is challenging due to huge data variations in different views. The key to this problem is to learn discriminative…”
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    Journal Article
  8. 8

    Low-Rank Transfer Human Motion Segmentation by Wang, Lichen, Ding, Zhengming, Fu, Yun

    Published in IEEE transactions on image processing (01-02-2019)
    “…Human motion segmentation has a great potential in real-world applications. Conventional segmentation approaches cluster data with no guidance from prior…”
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    Journal Article
  9. 9

    Leveraging the Invariant Side of Generative Zero-Shot Learning by Li, Jingjing, Jing, Mengmeng, Lu, Ke, Ding, Zhengming, Zhu, Lei, Huang, Zi

    “…Conventional zero-shot learning (ZSL) methods generally learn an embedding, e.g., visual-semantic mapping, to handle the unseen visual samples via an indirect…”
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    Conference Proceeding
  10. 10

    Consensus Regularized Multi-View Outlier Detection by Zhao, Handong, Liu, Hongfu, Ding, Zhengming, Fu, Yun

    Published in IEEE transactions on image processing (01-01-2018)
    “…Identifying different types of data outliers with abnormal behaviors in multi-view data setting is challenging due to the complicated data distributions across…”
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    Journal Article
  11. 11

    Dual Low-Rank Decompositions for Robust Cross-View Learning by Ding, Zhengming, Fu, Yun

    Published in IEEE transactions on image processing (01-01-2019)
    “…Cross-view data are very popular contemporarily, as different viewpoints or sensors attempt to richly represent data in various views. However, the cross-view…”
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    Journal Article
  12. 12

    Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation by Wang, Wei, Li, Haojie, Ding, Zhengming, Nie, Feiping, Chen, Junyang, Dong, Xiao, Wang, Zhihui

    “…Existing domain adaptation approaches often try to reduce distribution difference between source and target domains and respect domain-specific discriminative…”
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    Journal Article
  13. 13

    Missing Modality Transfer Learning via Latent Low-Rank Constraint by Ding, Zhengming, Shao, Ming, Fu, Yun

    Published in IEEE transactions on image processing (01-11-2015)
    “…Transfer learning is usually exploited to leverage previously well-learned source domain for evaluating the unknown target domain; however, it may fail if no…”
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    Journal Article
  14. 14

    Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification by Li, Shuang, Liu, Chi Harold, Su, Limin, Xie, Binhui, Ding, Zhengming, Chen, C. L. Philip, Wu, Dapeng

    “…Visual domain adaptation aims to seek an effective transferable model for unlabeled target images by benefiting from the well-labeled source images following…”
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    Journal Article
  15. 15

    Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning by Zhengming Ding, Ming Shao, Yun Fu

    “…Zero-shot learning for visual recognition has received much interest in the most recent years. However, the semantic gap across visual features and their…”
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    Conference Proceeding
  16. 16

    Discerning Feature Supported Encoder for Image Representation by Wang, Shuyang, Ding, Zhengming, Fu, Yun

    Published in IEEE transactions on image processing (01-08-2019)
    “…Inspired by the recent successes of deep architecture, the auto-encoder and its variants have been intensively explored on image clustering and classification…”
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    Journal Article
  17. 17

    Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition by Ke Lu, Zhengming Ding, Ge, S.

    “…Researchers have proposed various machine learning algorithms for traffic sign recognition, which is a supervised multicategory classification problem with…”
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    Journal Article
  18. 18

    Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study by Yotsu, Rie R, Ding, Zhengming, Hamm, Jihun, Blanton, Ronald E

    Published in PLoS neglected tropical diseases (01-08-2023)
    “…Deep learning, which is a part of a broader concept of artificial intelligence (AI) and/or machine learning has achieved remarkable success in vision tasks…”
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    Journal Article
  19. 19

    Knowledge Reused Outlier Detection by Yu, Weiren, Ding, Zhengming, Hu, Chunming, Liu, Hongfu

    Published in IEEE access (2019)
    “…Tremendous efforts have been invested in the unsupervised outlier detection research, which is conducted on unlabeled data set with abnormality assumptions…”
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    Journal Article
  20. 20

    Locally connected graph for visual tracking by Lu, Ke, Ding, Zhengming, Ge, Sam

    Published in Neurocomputing (Amsterdam) (23-11-2013)
    “…Based on fast feature extraction, the subspace representation model provides a compact notion of the “thing” being tracked rather than treating the target as a…”
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    Journal Article