Baolin Yi

According to our database, Baolin Yi authored at least 19 papers between 2016 and 2026.

Collaborative distances:

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

2026

Modeling semantic representation with LLM-enhanced for knowledge-aware recommendation.

Jianfang Liu, Baolin Yi, Huanyu Zhang, Xiaoxuan Shen, Lingling Song, Yu Lei, Hao Zheng

Inf. Process. Manag., 2026

2025

Items Proxy Bridging: Enabling Frictionless Critiquing in Knowledge Graph Recommendations.

Huanyu Zhang, Xiaoxuan Shen, Yu Lei, Baolin Yi, Jianfang Liu, Yinao Xie

CoRR, September, 2025

The effect of ability grouping on students' computational thinking in shared regulation-supported collaborative programming.

Yu Lei, Xin Fu, Jingjie Zhao, Baolin Yi

Educ. Inf. Technol., February, 2025

Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation.

Jianfang Liu, Wei Wang, Baolin Yi, Huanyu Zhang, Xiaoxuan Shen

Knowl. Based Syst., 2025

A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling.

Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Jianfang Liu, Yinao Xie

Proceedings of the ACM on Web Conference 2025, 2025

2024

Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation.

Wei Wang, Xiaoxuan Shen, Baolin Yi, Huanyu Zhang, Jianfang Liu, Chao Dai

Expert Syst. Appl., 2024

Contrastive multi-interest graph attention network for knowledge-aware recommendation.

Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang

Expert Syst. Appl., 2024

Causal Feature-Enhanced Collaborative Filtering Algorithm.

Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Click-through rate prediction model integrating user interest and multi-head attention mechanism.

Wei Zhang, Yahui Han, Baolin Yi, Zhaoli Zhang

J. Big Data, December, 2023

RIECN: learning relation-based interactive embedding convolutional network for knowledge graph.

Wei Wang, Xiaoxuan Shen, Huanyu Zhang, Zhifei Li, Baolin Yi

Neural Comput. Appl., April, 2023

KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs.

Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng

Expert Syst. Appl., 2023

2021

Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System.

Xiaoxuan Shen, Baolin Yi, Hai Liu, Wei Zhang, Zhaoli Zhang, Sannyuya Liu, Naixue Xiong

IEEE Trans. Knowl. Data Eng., 2021

2019

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System.

Baolin Yi, Xiaoxuan Shen, Hai Liu, Zhaoli Zhang, Wei Zhang, Sannyuya Liu, Naixue Xiong

IEEE Trans. Ind. Informatics, 2019

Study on learning effect prediction models based on principal component analysis in MOOCs.

Wei Zhang, Shiming Qin, Baolin Yi, Peng Tian

Clust. Comput., 2019

An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics.

Wei Zhang, Yilin Zhou, Baolin Yi

Proceedings of the ICETC 2019, 2019

2018

A New Scalable Lightweight Grouping Proof Protocol for RFID systems.

Wei Zhang, Shiming Qin, Shengming Wang, Longkai Wu, Baolin Yi

Wirel. Pers. Commun., 2018

A content-based recommendation algorithm for learning resources.

Jiangbo Shu, Xiaoxuan Shen, Hai Liu, Baolin Yi, Zhaoli Zhang

Multim. Syst., 2018

2017

An Efficient Lightweight RFID Authentication Protocol with Strong Trajectory Privacy Protection.

Wei Zhang, Sanya Liu, Shengming Wang, Baolin Yi, Longkai Wu

Wirel. Pers. Commun., 2017

2016

Expanded autoencoder recommendation framework and its application in movie recommendation.

Baolin Yi, Xiaoxuan Shen, Zhaoli Zhang, Jiangbo Shu, Hai Liu

Proceedings of the 10th International Conference on Software, 2016