| Towards the Readiness of Learning Analytics Data for Micro Learning J Lin, G Sun, J Shen, T Cui, P Yu, D Xu, L Li, G Beydoun International Conference on Services Computing, 66-76, 2019 | 6 | 2019 |
| A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER J Lin, G Sun, J Shen, T Cui, P Yu, D Xu, L Li 2019 IEEE 23rd International Conference on Computer Supported Cooperative …, 2019 | 6 | 2019 |
| From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning J Lin, G Sun, T Cui, J Shen, D Xu, G Beydoun, P Yu, D Pritchard, L Li, ... World Wide Web, 1-21, 2019 | 6 | 2019 |
| Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service J Lin, G Sun, J Shen, D Pritchard, T Cui, D Xu, L Li, G Beydoun, S Chen International Conference on Artificial Intelligence in Education, 168-173, 2020 | 2 | 2020 |
| Deep Sequence Labelling Model for Information Extraction in Micro Learning Service J Lin, Z Zhou, G Sun, J Shen, D Pritchard, T Cui, D Xu, L Li, G Beydoun 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020 | 1 | 2020 |
| Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service J Lin, G Sun, J Shen, T Cui, D Pritchard, D Xu, L Li, W Wei, G Beydoun, ... International Conference on Web Information Systems Engineering, 461-473, 2020 | | 2020 |
| Hybrid Translation and Language Model for Micro Learning Material Recommendation J Lin 2020 IEEE 20th International Conference on Advanced Learning Technologies …, 2020 | | 2020 |
Jun ShenUniversity of WollongongVerified email at uow.edu.au
