Shengpeng Yu
Orcid: 0000-0003-2288-5906
  According to our database1,
  Shengpeng Yu
  authored at least 13 papers
  between 2009 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
    J. Supercomput., January, 2025
    
  
Integrating clinicopathologic information and dynamic contrast-enhanced MRI for augmented prediction of neoadjuvant chemotherapy response in breast cancer.
    
  
    Biomed. Signal Process. Control., 2025
    
  
  2024
BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction.
    
  
    IEEE J. Biomed. Health Informatics, December, 2024
    
  
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
    
  
    IEEE ACM Trans. Comput. Biol. Bioinform., 2024
    
  
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction.
    
  
    Expert Syst. Appl., 2024
    
  
  2023
A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI.
    
  
    Biomed. Signal Process. Control., September, 2023
    
  
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction.
    
  
    Briefings Bioinform., January, 2023
    
  
  2022
A knowledge-driven network for fine-grained relationship detection between miRNA and disease.
    
  
    Briefings Bioinform., 2022
    
  
  2020
A MLEM-TV-MRP Algorithm for Fast Neutron Computed Tomography Reconstruction of High Statistical Noise and Sparse Sampling.
    
  
    IEEE Access, 2020
    
  
  2019
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.
    
  
    PLoS Comput. Biol., 2019
    
  
  2013
    Proceedings of the 2013 The Second International Conference on Innovative Computing and Cloud Computing, 2013
    
  
  2011
A real-time schedule method for Aircraft Landing Scheduling problem based on Cellular Automation.
    
  
    Appl. Soft Comput., 2011
    
  
  2009
A real-time schedule method for aircraft landing scheduling problem based on cellular automaton.
    
  
    Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009