Xiaoxuan Shen

According to our database, Xiaoxuan Shen authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Genetic Causal Explainer for Deep Knowledge Tracing.

Qing Li, Xin Yuan, Sannyuya Liu, Lu Gao, Tianyu Wei, Xiaoxuan Shen, Jianwen Sun

IEEE Trans. Evol. Comput., August, 2024

Deep adversarial group recommendation with user feature space separation.

Jianwen Sun, Shangheng Du, Ruxia Liang, Xiaoxuan Shen, Qing Li, Sannyuya Liu, Zongkai Yang

User Model. User Adapt. Interact., July, 2024

Autobalanced Multitask Node Embedding Framework for Intelligent Education.

Xiaoxuan Shen, Jianwei Yu, Ruxia Liang, Qing Li, Shengyingjie Liu, Shangheng Du, Jianwen Sun, Sannyuya Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Automated discovery of symbolic laws governing skill acquisition from naturally occurring data.

Sannyuya Liu, Qing Li, Xiaoxuan Shen, Jianwen Sun, Zongkai Yang

Nat. Comput. Sci., May, 2024

Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems.

Sannyuya Liu, Shengyingjie Liu, Zongkai Yang, Jianwen Sun, Xiaoxuan Shen, Qing Li, Rui Zou, Shangheng Du

ACM Trans. Inf. Syst., March, 2024

Weighted Heterogeneous Graph-Based Three-View Contrastive Learning for Knowledge Tracing in Personalized e-Learning Systems.

Jianwen Sun, Shangheng Du, Zhi Liu, Fenghua Yu, Sannyuya Liu, Xiaoxuan Shen

IEEE Trans. Consumer Electron., February, 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

Hyperbolic embedding of discrete evolution graphs for intelligent tutoring systems.

Shengyingjie Liu, Zongkai Yang, Sannyuya Liu, Ruxia Liang, Jianwen Sun, Qing Li, Xiaoxuan Shen

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

Evolvable Psychology Informed Neural Network for Memory Behavior Modeling.

Xiaoxuan Shen, Zhihai Hu, Qirong Chen, Shengyingjie Liu, Ruxia Liang, Jianwen Sun

CoRR, 2024

COMET: "Cone of experience" enhanced large multimodal model for mathematical problem generation.

Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun

CoRR, 2024

Interpretable Knowledge Tracing with Multiscale State Representation.

Jianwen Sun, Fenghua Yu, Qian Wan, Qing Li, Sannyuya Liu, Xiaoxuan Shen

Proceedings of the ACM on Web Conference 2024, 2024

Revisiting Knowledge Tracing: A Simple and Powerful Model.

Xiaoxuan Shen, Fenghua Yu, Yaqi Liu, Ruxia Liang, Qian Wan, Kai Yang, Jianwen Sun

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

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

Separated Graph Neural Networks for Recommendation Systems.

Jianwen Sun, Lu Gao, Xiaoxuan Shen, Sannyuya Liu, Ruxia Liang, Shangheng Du, Shengyingjie Liu

IEEE Trans. Ind. Informatics, 2023

Dual-track feedback aggregation recommendation model for programming training.

Songkai Zhu, Xiaoxuan Shen, Xiuling He, Jing Fang, Yangyang Li

Knowl. Based Syst., 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

Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing.

Jianwen Sun, Fenghua Yu, Sannyuya Liu, Yawei Luo, Ruxia Liang, Xiaoxuan Shen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System.

Hai Liu, Chao Zheng, Duantengchuan Li, Xiaoxuan Shen, Ke Lin, Jiazhang Wang, Zhen Zhang, Zhaoli Zhang, Neal N. Xiong

IEEE Trans. Ind. Informatics, 2022

Ability boosted knowledge tracing.

Sannyuya Liu, Jianwei Yu, Qing Li, Ruxia Liang, Yunhan Zhang, Xiaoxuan Shen, Jianwen Sun

Inf. Sci., 2022

Multi-perspective social recommendation method with graph representation learning.

Hai Liu, Chao Zheng, Duantengchuan Li, Zhaoli Zhang, Ke Lin, Xiaoxuan Shen, Neal N. Xiong, Jiazhang Wang

Neurocomputing, 2022

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

2018

A content-based recommendation algorithm for learning resources.

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

Multim. Syst., 2018

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