Folgen
Xiaoxuan Shen
Xiaoxuan Shen
Bestätigte E-Mail-Adresse bei ccnu.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
A content-based recommendation algorithm for learning resources
J Shu, X Shen, H Liu, B Yi, Z Zhang
Multimedia Systems 24 (2), 163-173, 2018
2942018
Deep matrix factorization with implicit feedback embedding for recommendation system
B Yi, X Shen, H Liu, Z Zhang, W Zhang, S Liu, N Xiong
IEEE Transactions on Industrial Informatics 15 (8), 4591-4601, 2019
2322019
EDMF: Efficient deep matrix factorization with review feature learning for industrial recommender system
H Liu, C Zheng, D Li, X Shen, K Lin, J Wang, Z Zhang, Z Zhang, NN Xiong
IEEE Transactions on Industrial Informatics 18 (7), 4361-4371, 2021
2042021
Multi-perspective social recommendation method with graph representation learning
H Liu, C Zheng, D Li, Z Zhang, K Lin, X Shen, NN Xiong, J Wang
Neurocomputing 468, 469-481, 2022
1052022
Deep variational matrix factorization with knowledge embedding for recommendation system
X Shen, B Yi, H Liu, W Zhang, Z Zhang, S Liu, N Xiong
IEEE Transactions on Knowledge and Data Engineering 33 (5), 1906-1918, 2019
822019
Automatic recommendation technology for learning resources with convolutional neural network
X Shen, B Yi, Z Zhang, J Shu, H Liu
2016 international symposium on educational technology (ISET), 30-34, 2016
792016
KGAN: Knowledge grouping aggregation network for course recommendation in MOOCs
H Zhang, X Shen, B Yi, W Wang, Y Feng
Expert Systems with Applications 211, 118344, 2023
422023
Ability boosted knowledge tracing
S Liu, J Yu, Q Li, R Liang, Y Zhang, X Shen, J Sun
Information Sciences 596, 567-587, 2022
292022
Expanded autoencoder recommendation framework and its application in movie recommendation
B Yi, X Shen, Z Zhang, J Shu, H Liu
2016 10th International Conference on Software, Knowledge, Information …, 2016
232016
Separated graph neural networks for recommendation systems
J Sun, L Gao, X Shen, S Liu, R Liang, S Du, S Liu
IEEE Transactions on Industrial Informatics 19 (1), 382-393, 2022
202022
Interpretable Knowledge Tracing with Multiscale State Representation
J Sun, F Yu, Q Wan, Q Li, S Liu, X Shen
Proceedings of the ACM on Web Conference 2024, 3265-3276, 2024
112024
Adversarial bootstrapped question representation learning for knowledge tracing
J Sun, F Yu, S Liu, Y Luo, R Liang, X Shen
Proceedings of the 31st ACM International Conference on Multimedia, 8016-8025, 2023
112023
Weighted heterogeneous graph-based three-view contrastive learning for knowledge tracing in personalized e-learning systems
J Sun, S Du, Z Liu, F Yu, S Liu, X Shen
IEEE Transactions on Consumer Electronics 70 (1), 2838-2847, 2023
112023
Blind deconvolution using the similarity of multiscales regularization for infrared spectrum
T Huang, H Liu, Z Zhang, S Liu, T Liu, X Shen, T Zhang, J Zhang
Measurement Science and Technology 26 (11), 115502, 2015
112015
Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation
W Wang, X Shen, B Yi, H Zhang, J Liu, C Dai
Expert Systems with Applications 249, 123710, 2024
102024
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data
S Liu, Q Li, X Shen, J Sun, Z Yang
Nature Computational Science, 1-12, 2024
62024
A genetic causal explainer for deep knowledge tracing
Q Li, X Yuan, S Liu, L Gao, T Wei, X Shen, J Sun
IEEE Transactions on Evolutionary Computation, 2023
62023
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems
S Liu, S Liu, Z Yang, J Sun, X Shen, Q Li, R Zou, S Du
ACM Transactions on Information Systems 42 (2), 1-28, 2023
42023
Revisiting Knowledge Tracing: A Simple and Powerful Model
X Shen, F Yu, Y Liu, R Liang, Q Wan, K Yang, J Sun
Proceedings of the 32nd ACM International Conference on Multimedia, 263-272, 2024
22024
Multi-domain neural network recommender
B Yi, S Zhao, X Shen, L Zhang
2018 IEEE International Conference on Electronics and Communication …, 2018
22018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20