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 | 294 | 2018 |
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 | 232 | 2019 |
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 | 204 | 2021 |
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 | 105 | 2022 |
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 | 82 | 2019 |
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 | 79 | 2016 |
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 | 42 | 2023 |
Ability boosted knowledge tracing S Liu, J Yu, Q Li, R Liang, Y Zhang, X Shen, J Sun Information Sciences 596, 567-587, 2022 | 29 | 2022 |
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 | 23 | 2016 |
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 | 20 | 2022 |
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 | 11 | 2024 |
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 | 11 | 2023 |
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 | 11 | 2023 |
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 | 11 | 2015 |
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 | 10 | 2024 |
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 | 6 | 2024 |
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 | 6 | 2023 |
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 | 4 | 2023 |
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 | 2 | 2024 |
Multi-domain neural network recommender B Yi, S Zhao, X Shen, L Zhang 2018 IEEE International Conference on Electronics and Communication …, 2018 | 2 | 2018 |