Mingrui Ma
Orcid: 0000-0002-0579-1505
According to our database1,
Mingrui Ma
authored at least 21 papers
between 2020 and 2024.
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Bibliography
2024
Research and application of artificial intelligence based webshell detection model: A literature review.
CoRR, 2024
Research and application of Transformer based anomaly detection model: A literature review.
CoRR, 2024
Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples.
CoRR, 2024
Weighted window attention and recover feature resolution-based network for deformable abdominal image registration.
Biomed. Signal Process. Control., 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Appl. Intell., May, 2023
BTAD: A binary transformer deep neural network model for anomaly detection in multivariate time series data.
Adv. Eng. Informatics, April, 2023
A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images.
IEEE Trans. Medical Imaging, 2023
Informatica, 2023
RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration.
CoRR, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
CVDF DYNAMIC - A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm.
Sensors, 2022
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism.
BMC Medical Informatics Decis. Mak., 2022
Knowl. Based Syst., 2022
TD-Net: unsupervised medical image registration network based on Transformer and CNN.
Appl. Intell., 2022
2021
Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images.
IEEE Access, 2021
2020
An Improved Artificial Bee Colony Algorithm for the Flexible Integrated Scheduling Problem Using Networked Devices Collaboration.
Int. J. Cooperative Inf. Syst., 2020
IEEE Access, 2020