Yiming Wang
Orcid: 0000-0002-8765-7640Affiliations:
- Beijing Jiaotong University, Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, China
  According to our database1,
  Yiming Wang
  authored at least 25 papers
  between 2021 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
On csauthors.net:
Bibliography
  2025
    ACM Trans. Multim. Comput. Commun. Appl., January, 2025
    
  
A Category-Driven Contrastive Recovery Network for Double Incomplete Multi-View Multi-Label Classification.
    
  
    IEEE Trans. Multim., 2025
    
  
    IEEE Trans. Multim., 2025
    
  
    Pattern Recognit., 2025
    
  
    Sci. China Inf. Sci., 2025
    
  
  2024
Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network.
    
  
    IEEE Trans. Circuits Syst. Video Technol., August, 2024
    
  
    IEEE Trans. Neural Networks Learn. Syst., May, 2024
    
  
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering.
    
  
    CoRR, 2024
    
  
  2023
    IEEE Trans. Cybern., November, 2023
    
  
    Pattern Recognit., May, 2023
    
  
Projection-preserving block-diagonal low-rank representation for subspace clustering.
    
  
    Neurocomputing, March, 2023
    
  
    IEEE Trans. Multim., 2023
    
  
    IEEE Trans. Circuits Syst. Video Technol., 2023
    
  
  2022
Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data.
    
  
    CoRR, 2022
    
  
ACTIVE: Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering.
    
  
    CoRR, 2022
    
  
    Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
    
  
  2021
A hierarchical weighted low-rank representation for image clustering and classification.
    
  
    Pattern Recognit., 2021
    
  
A new blind image denoising method based on asymmetric generative adversarial network.
    
  
    IET Image Process., 2021
    
  
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021