Baolin Yi

21 papers A* 1B 2Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling semantic representation with LLM-enhanced for knowledge-aware recommendation.
Inf. Process. Manag.
Jianfang Liu, Baolin Yi, Huanyu Zhang, Xiaoxuan Shen, Lingling Song, Yu Lei, Hao Zheng
2025 A* conf
A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling.
WWW
Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Jianfang Liu, Yinao Xie
2025 B conf
CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations.
IJCNN
Zelin Cao, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Pengcheng Li, Jianfang Liu, Wei Wang
2025 J jnl
Items Proxy Bridging: Enabling Frictionless Critiquing in Knowledge Graph Recommendations.
CoRR
Huanyu Zhang, Xiaoxuan Shen, Yu Lei, Baolin Yi, Jianfang Liu, Yinao Xie
2025 J jnl
Semantic relation-aware graph attention network with noise augmented layer-wise contrastive learning for recommendation.
Knowl. Based Syst.
Jianfang Liu, Wei Wang, Baolin Yi, Huanyu Zhang, Xiaoxuan Shen
2025 J jnl
The Effects of a Generative AI-Enabled CDIO Teaching Model on Undergraduates' Computational Thinking and Individual Psychological Constructs.
Comput. Appl. Eng. Educ.
Yu Lei, Jianfang Liu, Xin Fu, Jingjie Zhao, Baolin Yi
2025 J jnl
The effect of ability grouping on students' computational thinking in shared regulation-supported collaborative programming.
Educ. Inf. Technol.
Yu Lei, Xin Fu, Jingjie Zhao, Baolin Yi
2024 B conf
Causal Feature-Enhanced Collaborative Filtering Algorithm.
IJCNN
Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo
2024 J jnl
Contrastive multi-interest graph attention network for knowledge-aware recommendation.
Expert Syst. Appl.
Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang
2024 J jnl
Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation.
Expert Syst. Appl.
Wei Wang, Xiaoxuan Shen, Baolin Yi, Huanyu Zhang, Jianfang Liu, Chao Dai
2023 J jnl
Click-through rate prediction model integrating user interest and multi-head attention mechanism.
J. Big Data
Wei Zhang, Yahui Han, Baolin Yi, Zhaoli Zhang
2023 J jnl
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs.
Expert Syst. Appl.
Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng
2023 J jnl
RIECN: learning relation-based interactive embedding convolutional network for knowledge graph.
Neural Comput. Appl.
Wei Wang, Xiaoxuan Shen, Huanyu Zhang, Zhifei Li, Baolin Yi
2021 J jnl
Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System.
IEEE Trans. Knowl. Data Eng.
Xiaoxuan Shen, Baolin Yi, Hai Liu, Wei Zhang, Zhaoli Zhang, Sannyuya Liu, Naixue Xiong
2019 — conf
An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics.
ICETC
Wei Zhang, Yilin Zhou, Baolin Yi
2019 J jnl
Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System.
IEEE Trans. Ind. Informatics
Baolin Yi, Xiaoxuan Shen, Hai Liu, Zhaoli Zhang, Wei Zhang, Sannyuya Liu, Naixue Xiong
2019 J jnl
Study on learning effect prediction models based on principal component analysis in MOOCs.
Clust. Comput.
Wei Zhang, Shiming Qin, Baolin Yi, Peng Tian
2018 J jnl
A New Scalable Lightweight Grouping Proof Protocol for RFID systems.
Wirel. Pers. Commun.
Wei Zhang, Shiming Qin, Shengming Wang, Longkai Wu, Baolin Yi
2018 J jnl
A content-based recommendation algorithm for learning resources.
Multim. Syst.
Jiangbo Shu, Xiaoxuan Shen, Hai Liu, Baolin Yi, Zhaoli Zhang
2017 J jnl
An Efficient Lightweight RFID Authentication Protocol with Strong Trajectory Privacy Protection.
Wirel. Pers. Commun.
Wei Zhang, Sanya Liu, Shengming Wang, Baolin Yi, Longkai Wu
2016 — conf
Expanded autoencoder recommendation framework and its application in movie recommendation.
SKIMA
Baolin Yi, Xiaoxuan Shen, Zhaoli Zhang, Jiangbo Shu, Hai Liu