Ming Shi

Affiliations:
  • Hubei University of Technology, Wuhan, Hubei, China


According to our database1, Ming Shi authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease.
Eng. Appl. Artif. Intell., 2025

Parkinson's disease classification and prediction via adaptive sparse learning from multiple modalities.
Biomed. Signal Process. Control., 2025

Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis.
Appl. Soft Comput., 2025

Incomplete Multimodal Alzheimer's Disease Classification via Bidirectional GAN and Spectral Graph Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Alzheimer's disease classification based on brain region-to-sample graph convolutional network.
Biomed. Signal Process. Control., 2024

Self-training with dual uncertainty for semi-supervised MRI image segmentation.
Biomed. Signal Process. Control., 2024

2023
Self-training with dual uncertainty for semi-supervised medical image segmentation.
CoRR, 2023

HD-GCN: A Hybrid Diffusion Graph Convolutional Network.
CoRR, 2023

Semi-Supervised Carotid Plaque Image Classification Using Feature Correction and Pseudo-Label Balance Correction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

MView-DTI: A Multi-view Feature Fusion-Based Approach for Drug-Target Protein Interaction Prediction.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022


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