Shenbao Yu

Orcid: 0000-0002-6824-4293

According to our database1, Shenbao Yu authored at least 16 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling.
IEEE Trans. Knowl. Data Eng., July, 2024

Improving collaborative filtering with SNE-GCN: a second-order neighbor enhanced graph convolutional network.
Multim. Syst., June, 2024

CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking.
Appl. Intell., April, 2024

Overlapping community detection using expansion with contraction.
Neurocomputing, January, 2024

A substructure transfer reinforcement learning method based on metric learning.
Neurocomputing, 2024

A hybrid similarity model for mitigating the cold-start problem of collaborative filtering in sparse data.
Expert Syst. Appl., 2024

Revisiting the loss functions in sequential recommendation.
Eng. Appl. Artif. Intell., 2024

Causal-Driven Skill Prerequisite Structure Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Discovering a cohesive football team through players' attributed collaboration networks.
Appl. Intell., June, 2023

Generalized temporal similarity-based nonnegative tensor decomposition for modeling transition matrix of dynamic collaborative filtering.
Inf. Sci., 2023

Effective and Efficient Training for Sequential Recommendation Using Cumulative Cross-Entropy Loss.
CoRR, 2023

Effective and Efficient Training for Sequential Recommendation Using Cumulative Cross-Entropy Loss.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

2021
Multi-Objective Optimization for Football Team Member Selection.
IEEE Access, 2021

A Connected Components Based Layout Analysis Approach for Educational Documents.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020
Modeling Transition Matrix for a Collaborative Rating Prediction Recommendation System via Nonnegative Tensor Decomposition.
Proceedings of the 15th International Conference on Computer Science & Education, 2020

2017
Using function approximation for personalized point-of-interest recommendation.
Expert Syst. Appl., 2017


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