Mingqiang Zhang
Orcid: 0000-0001-5756-2993
  According to our database1,
  Mingqiang Zhang
  authored at least 12 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity.
    
  
    CoRR, February, 2025
    
  
  2023
Communication-Efficient Quantized Deep Compressed Sensing for Edge-Cloud Collaborative Industrial IoT Networks.
    
  
    IEEE Trans. Ind. Informatics, May, 2023
    
  
    J. Inf. Sci. Eng., 2023
    
  
  2022
Learning-Based Data Transmissions for Future 6G Enabled Industrial IoT: A Data Compression Perspective.
    
  
    IEEE Netw., 2022
    
  
An Intrusion Detection Method for Cyber Monintoring Using Attention based Hierarchical LSTM.
    
  
    Proceedings of the 8th IEEE Intl Conference on Big Data Security on Cloud, 2022
    
  
  2021
Design and Integrated Analysis of a Flexible Support Microstructure with a Honeycomb Sandwich for the Optical Window of a Hypersonic Remote Sensor.
    
  
    Sensors, 2021
    
  
Learning-Based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks.
    
  
    IEEE Internet Things J., 2021
    
  
    Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021
    
  
  2020
An improved clear cell renal cell carcinoma stage prediction model based on gene sets.
    
  
    BMC Bioinform., 2020
    
  
  2019
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
    
  
    J. Digit. Imaging, 2019
    
  
Multi-scale Stepwise Training Strategy of Convolutional Neural Networks for Diabetic Retinopathy Severity Assessment.
    
  
    Proceedings of the International Joint Conference on Neural Networks, 2019
    
  
Compressive Sensing and Autoencoder Based Compressed Data Aggregation for Green IoT Networks.
    
  
    Proceedings of the 2019 IEEE Global Communications Conference, 2019