Yubin Ma

Orcid: 0009-0008-2440-1315

According to our database1, Yubin Ma authored at least 16 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HDNR: hierarchical disentanglement for news recommendation.
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

Survey on Security and Safety in Humanoid Robotics.
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


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