Yubin Ma
Orcid: 0009-0008-2440-1315
According to our database1,
Yubin Ma authored at least 16 papers
between 2021 and 2026.
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Bibliography
2026
Int. J. Mach. Learn. Cybern., January, 2026
Using external knowledge to enhance user preferences for better sequential recommendation.
Expert Syst. Appl., 2026
Lithology identification with limited data based on deep learning serial ensemble optimization.
Eng. Appl. Artif. Intell., 2026
Proceedings of the International Conference on Computing, Networking and Communications, 2026
2025
Neighborhood structure enhancement and denoising method for multi-behavior recommendation.
Neural Networks, 2025
Knowledge-enhanced prototypical network with graph structure and semantic information interaction for low-shot joint spoken language understanding.
Expert Syst. Appl., 2025
Efficient Pothole Detection Using Smartphone Sensor Data: A TCN and Self-Attention-Based Approach.
Proceedings of the 9th International Conference on Models and Technologies for Intelligent Transportation Systems, 2025
PCAG-Inception: An Enhanced Inceptiontime Model for Pothole Detection in Non-Motorized Vehicle Lanes.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
Temporal knowledge graph reasoning based on evolutional representation and contrastive learning.
Appl. Intell., November, 2024
2023
Enhancing recommendations with contrastive learning from collaborative knowledge graph.
Neurocomputing, 2023
2022
A knowledge graph completion model based on contrastive learning and relation enhancement method.
Knowl. Based Syst., 2022
RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
RotatSAGE: A Scalable Knowledge Graph Embedding Model Based on Translation Assumptions and Graph Neural Networks.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
A Model for Detecting Malware Adversarial Samples Based on Anomaly Detection Technology.
Proceedings of the 2022 2nd International Conference on Algorithms, 2022
2021
Data Augmentation in Training Deep Learning Models for Malware Family Classification.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021