Shenbao Yu

According to our database, Shenbao Yu authored at least 26 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Overlapping Community Detection via Adaptive Bayesian Nonnegative Matrix Tri-Factorization.

Zhijian Zhuo, Bilian Chen, Shenbao Yu

IEEE Trans. Netw. Sci. Eng., 2026

GBCG: Granular Ball and Counterfactual Guided Profile Injection Attack in Recommender Systems.

Yunmeng Zhao, Yuran He, Shenbao Yu, Ruihong Huang, Jiayin Li, Jun Shen, Jiayin Lin

Proceedings of the Database Systems for Advanced Applications, 2026

BiO-HMC: Dynamic Human-Machine Collaboration for Consensus Decision-Making via Bilevel Optimization.

Yinghui Pan, Shuaijie Zhao, Shenbao Yu, Zongyang Liu, Yifeng Zeng, Han Liu, Mingwei Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

An Incremental Nonlinear Co-Latent Factor Analysis Model for Large-Scale Student Performance Prediction.

Xingyu Lin, Shenbao Yu, Mingwei Lin, Xiuqin Xu, Jiayin Lin, Zeshui Xu

IEEE Trans. Serv. Comput., 2025

EPCTS: Enhanced Prompt-Aware Cross-Prompt Essay Trait Scoring.

Jiangsong Xu, Jian Liu, Mingwei Lin, Jiayin Lin, Shenbao Yu, Liang Zhao, Jun Shen

Neurocomputing, 2025

Asymmetric drug interaction prediction via multi-scale fusion of directed topological relationships and drug features.

Kaibiao Lin, Fengxin Huang, Shuangta Zhuo, Qiqi Zhou, Dawei Pan, Shenbao Yu, Fan Yang

Comput. Biol. Chem., 2025

Item Popularity Attention for Mitigating Popularity Bias in Sequential Recommendation.

Zhewei Ding, Runxiong Liu, Mingwei Lin, Shenbao Yu, Jiayin Lin

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

Rethinking Privacy Protection for Recommender System in a Collaborative Way.

Yongpei Zhang, Shuang Li, Mingwei Lin, Jun Shen, Shenbao Yu, Jiayin Lin

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Dual-Generator Augmentation for Imbalanced Fraud Detection on Heterogeneous Insurance Graphs.

Zijie Bian, Jian Zhang, Kaibiao Lin, Shenbao Yu, Fang Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling.

Shenbao Yu, Yifeng Zeng, Yinghui Pan, Fan Yang

IEEE Trans. Knowl. Data Eng., July, 2024

Improving collaborative filtering with SNE-GCN: a second-order neighbor enhanced graph convolutional network.

Tianyang Yan, Langcai Cao, Peihua Chai, Shenbao Yu

Multim. Syst., June, 2024

CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking.

Qinyun Gao, Shenbao Yu, Bilian Chen, Langcai Cao

Appl. Intell., April, 2024

Overlapping community detection using expansion with contraction.

Zhijian Zhuo, Bilian Chen, Shenbao Yu, Langcai Cao

Neurocomputing, January, 2024

A substructure transfer reinforcement learning method based on metric learning.

Peihua Chai, Bilian Chen, Yifeng Zeng, Shenbao Yu

Neurocomputing, 2024

A hybrid similarity model for mitigating the cold-start problem of collaborative filtering in sparse data.

Jiewen Guan, Bilian Chen, Shenbao Yu

Expert Syst. Appl., 2024

Revisiting the loss functions in sequential recommendation.

Fangyu Li, Hong Peng, Shenbao Yu, Feng Zeng, Fei Chen, Fan Yang

Eng. Appl. Artif. Intell., 2024

An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling.

Shenbao Yu, Yinghui Pan, Yifeng Zeng, Prashant Doshi, Guoquan Liu, Kim-Leng Poh, Mingwei Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Causal-Driven Skill Prerequisite Structure Discovery.

Shenbao Yu, Yifeng Zeng, Fan Yang, Yinghui Pan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Discovering a cohesive football team through players' attributed collaboration networks.

Shenbao Yu, Yifeng Zeng, Yinghui Pan, Bilian Chen

Appl. Intell., June, 2023

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

Shenbao Yu, Zhehao Zhou, Bilian Chen, Langcai Cao

Inf. Sci., 2023

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

Fangyu Li, Shenbao Yu, Feng Zeng, Fang Yang

CoRR, 2023

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

Fangyu Li, Hong Peng, Shenbao Yu, Fan Yang

Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

2021

Multi-Objective Optimization for Football Team Member Selection.

Haoyu Zhao, Haihui Chen, Shenbao Yu, Bilian Chen

IEEE Access, 2021

A Connected Components Based Layout Analysis Approach for Educational Documents.

Ruiying Liu, Shenbao Yu, Fan Yang, Yinghui Pan, Yifeng Zeng

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.

Zhehao Zhou, Shenbao Yu, Jiewen Guan, Bilian Chen, Langcai Cao

Proceedings of the 15th International Conference on Computer Science & Education, 2020

2017

Using function approximation for personalized point-of-interest recommendation.

Bilian Chen, Shenbao Yu, Jing Tang, Mengda He, Yifeng Zeng

Expert Syst. Appl., 2017