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Baolin Yi
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2020 – today
- 2024
- [j11]Wei Wang, Xiaoxuan Shen, Baolin Yi, Huanyu Zhang, Jianfang Liu, Chao Dai:
Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation. Expert Syst. Appl. 249: 123710 (2024) - [j10]Jianfang Liu, Wei Wang, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang:
Contrastive multi-interest graph attention network for knowledge-aware recommendation. Expert Syst. Appl. 255: 124748 (2024) - [c3]Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo:
Causal Feature-Enhanced Collaborative Filtering Algorithm. IJCNN 2024: 1-9 - 2023
- [j9]Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Wei Wang, Yong Feng:
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs. Expert Syst. Appl. 211: 118344 (2023) - [j8]Wei Zhang, Yahui Han, Baolin Yi, Zhaoli Zhang:
Click-through rate prediction model integrating user interest and multi-head attention mechanism. J. Big Data 10(1): 11 (2023) - [j7]Wei Wang, Xiaoxuan Shen, Huanyu Zhang, Zhifei Li, Baolin Yi:
RIECN: learning relation-based interactive embedding convolutional network for knowledge graph. Neural Comput. Appl. 35(11): 8343-8356 (2023) - 2021
- [j6]Xiaoxuan Shen, Baolin Yi, Hai Liu, Wei Zhang, Zhaoli Zhang, Sannyuya Liu, Naixue Xiong:
Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System. IEEE Trans. Knowl. Data Eng. 33(5): 1906-1918 (2021)
2010 – 2019
- 2019
- [j5]Wei Zhang, Shiming Qin, Baolin Yi, Peng Tian:
Study on learning effect prediction models based on principal component analysis in MOOCs. Clust. Comput. 22(6): 15347-15356 (2019) - [j4]Baolin Yi, Xiaoxuan Shen, Hai Liu, Zhaoli Zhang, Wei Zhang, Sannyuya Liu, Naixue Xiong:
Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System. IEEE Trans. Ind. Informatics 15(8): 4591-4601 (2019) - [c2]Wei Zhang, Yilin Zhou, Baolin Yi:
An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics. ICETC 2019: 148-154 - 2018
- [j3]Jiangbo Shu, Xiaoxuan Shen, Hai Liu, Baolin Yi, Zhaoli Zhang:
A content-based recommendation algorithm for learning resources. Multim. Syst. 24(2): 163-173 (2018) - [j2]Wei Zhang, Shiming Qin, Shengming Wang, Longkai Wu, Baolin Yi:
A New Scalable Lightweight Grouping Proof Protocol for RFID systems. Wirel. Pers. Commun. 103(1): 133-143 (2018) - 2017
- [j1]Wei Zhang, Sanya Liu, Shengming Wang, Baolin Yi, Longkai Wu:
An Efficient Lightweight RFID Authentication Protocol with Strong Trajectory Privacy Protection. Wirel. Pers. Commun. 96(1): 1215-1228 (2017) - 2016
- [c1]Baolin Yi, Xiaoxuan Shen, Zhaoli Zhang, Jiangbo Shu, Hai Liu:
Expanded autoencoder recommendation framework and its application in movie recommendation. SKIMA 2016: 298-303
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