Using function approximation for personalized point-of-interest recommendation. - Bilian Chen; Shenbao Yu; Jing Tang 001; Mengda He; Yifeng Zeng (Expert Syst. Appl., 2017)

Modeling Transition Matrix for a Collaborative Rating Prediction Recommendation System via Nonnegative Tensor Decomposition. - Zhehao Zhou; Shenbao Yu; Jiewen Guan; Bilian Chen; Langcai Cao (ICCSE, 2020)

A Connected Components Based Layout Analysis Approach for Educational Documents. - Ruiying Liu; Shenbao Yu; Fan Yang 010; Yinghui Pan; Yifeng Zeng (ICCSE, 2021)

Multi-Objective Optimization for Football Team Member Selection. - Haoyu Zhao; Haihui Chen; Shenbao Yu; Bilian Chen (IEEE Access, 2021)

Effective and Efficient Training for Sequential Recommendation Using Cumulative Cross-Entropy Loss. - Fangyu Li; Hong Peng; Shenbao Yu; Fan Yang 010 (ICMLCA, 2023)

Effective and Efficient Training for Sequential Recommendation Using Cumulative Cross-Entropy Loss. - Fangyu Li; Shenbao Yu; Feng Zeng; Fang Yang (CoRR, 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)

Discovering a cohesive football team through players' attributed collaboration networks. - Shenbao Yu; Yifeng Zeng; Yinghui Pan; Bilian Chen (Appl. Intell., 2023)

Causal-Driven Skill Prerequisite Structure Discovery. - Shenbao Yu; Yifeng Zeng; Fan Yang 010; Yinghui Pan (AAAI, 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 (NeurIPS, 2024)

Revisiting the loss functions in sequential recommendation. - Fangyu Li; Hong Peng; Shenbao Yu; Feng Zeng; Fei Chen; Fan Yang 010 (Eng. Appl. Artif. Intell., 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)

A substructure transfer reinforcement learning method based on metric learning. - Peihua Chai; Bilian Chen; Yifeng Zeng; Shenbao Yu (Neurocomputing, 2024)

Overlapping community detection using expansion with contraction. - Zhijian Zhuo; Bilian Chen; Shenbao Yu; Langcai Cao (Neurocomputing, 2024)

CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking. - Qinyun Gao; Shenbao Yu; Bilian Chen; Langcai Cao (Appl. Intell., 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., 2024)

SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling. - Shenbao Yu; Yifeng Zeng; Yinghui Pan; Fan Yang 010 (IEEE Trans. Knowl. Data Eng., 2024)

Rethinking Privacy Protection for Recommender System in a Collaborative Way. - Yongpei Zhang; Shuang Li; Mingwei Lin; Jun Shen 001; Shenbao Yu; Jiayin Lin (CSCWD, 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 010 (Comput. Biol. Chem., 2025)

EPCTS: Enhanced Prompt-Aware Cross-Prompt Essay Trait Scoring. - Jiangsong Xu; Jian Liu; Mingwei Lin; Jiayin Lin; Shenbao Yu; Liang Zhao 004; Jun Shen 001 (Neurocomputing, 2025)