| Artificial intelligence in recommender systems Q Zhang, J Lu, Y Jin Complex & Intelligent Systems 7 (1), 439-457, 2021 | 248 | 2021 |
| A cross-domain recommender system with consistent information transfer Q Zhang, D Wu, J Lu, F Liu, G Zhang Decision Support Systems 104, 49-63, 2017 | 130 | 2017 |
| A cross-domain recommender system with kernel-induced knowledge transfer for overlapping entities Q Zhang, J Lu, D Wu, G Zhang IEEE transactions on neural networks and learning systems 30 (7), 1998-2012, 2018 | 124 | 2018 |
| A framework of hybrid recommender system for personalized clinical prescription Q Zhang, G Zhang, J Lu, D Wu 2015 10th International Conference on Intelligent Systems and Knowledge …, 2015 | 55 | 2015 |
| Recommender Systems in E-learning Q Zhang, J Lu, G Zhang Journal of Smart Environments and Green Computing 1 (2), 76-89, 2021 | 44 | 2021 |
| Cross-domain Recommendation with Semantic Correlation in Tagging Systems Q Zhang, P Hao, J Lu, G Zhang 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 36 | 2019 |
| Fuzzy user-interest drift detection based recommender systems Q Zhang, D Wu, G Zhang, J Lu 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1274-1281, 2016 | 28 | 2016 |
| A cross-domain recommender system through information transfer for medical diagnosis W Chang, Q Zhang, C Fu, W Liu, G Zhang, J Lu Decision Support Systems 143, 113489, 2021 | 21 | 2021 |
| Recommender Systems: Advanced Developments J Lu, Q Zhang, G Zhang | 20 | 2020 |
| A Deep Dual Adversarial Network for Cross-domain Recommendation Q Zhang, W Liao, G Zhang, B Yuan, J Lu IEEE Transactions on Knowledge and Data Engineering, 2021 | 18 | 2021 |
| Heterogeneous Multidomain Recommender System Through Adversarial Learning W Liao, Q Zhang, B Yuan, G Zhang, J Lu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 13 | 2022 |
| Cross-Domain Recommendation with Multiple Sources Q Zhang, J Lu, G Zhang 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 12 | 2020 |
| A Hierarchical Attention Network for Cross-Domain Group Recommendation R Liang, Q Zhang, J Wang, J Lu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11 | 2022 |
| Cross-domain recommendation with probabilistic knowledge transfer Q Zhang, D Wu, J Lu, G Zhang International Conference on Neural Information Processing, 208-219, 2018 | 11 | 2018 |
| A recurrent neural network-based recommender system framework and prototype for sequential E-learning Q Zhang, Y Li, G Zhang, J Lu Developments of Artificial Intelligence Technologies in Computation and …, 2020 | 7 | 2020 |
| A Framework for a Large-Scale B2B Recommender System AG Nia, J Lu, Q Zhang, M Ribeiro 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge …, 2019 | 7 | 2019 |
| A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry Q Zhang, D Zhang, J Lu, G Zhang, W Qu, M Cohen 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge …, 2019 | 7 | 2019 |
| Cross-domain recommendation with consistent knowledge transfer by subspace alignment Q Zhang, J Lu, D Wu, G Zhang International Conference on Web Information Systems Engineering, 67-82, 2018 | 6 | 2018 |
| A cross-domain group recommender system with a generalized aggregation strategy R Liang, Q Zhang, J Lu, G Zhang, J Wang Developments of Artificial Intelligence Technologies in Computation and …, 2020 | 2 | 2020 |
| Hierarchical Fuzzy Graph Attention Network for Group Recommendation R Liang, Q Zhang, J Wang 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 1 | 2021 |
Jie LU AO, FIEEE, FIFSA, FACS, Austr...Distinguished Professor, Director of Australian Artificial Intelligence InstituteBestätigte E-Mail-Adresse bei uts.edu.au
