| Transfer learning using computational intelligence: A survey J Lu, V Behbood, P Hao, H Zuo, S Xue, G Zhang Knowledge-Based Systems 80, 14-23, 2015 | 1077 | 2015 |
| Fuzzy regression transfer learning in Takagi–Sugeno fuzzy models H Zuo, G Zhang, W Pedrycz, V Behbood, J Lu IEEE Transactions on Fuzzy Systems 25 (6), 1795-1807, 2016 | 161 | 2016 |
| Fuzzy multiple-source transfer learning J Lu, H Zuo, G Zhang IEEE Transactions on Fuzzy Systems 28 (12), 3418-3431, 2019 | 102 | 2019 |
| Granular fuzzy regression domain adaptation in Takagi–Sugeno fuzzy models H Zuo, G Zhang, W Pedrycz, V Behbood, J Lu IEEE Transactions on Fuzzy Systems 26 (2), 847-858, 2017 | 98 | 2017 |
| Fuzzy rule-based domain adaptation in homogeneous and heterogeneous spaces H Zuo, J Lu, G Zhang, W Pedrycz IEEE Transactions on Fuzzy Systems 27 (2), 348-361, 2018 | 64 | 2018 |
| Multi-source contribution learning for domain adaptation K Li, J Lu, H Zuo, G Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5293-5307, 2021 | 63 | 2021 |
| Fuzzy transfer learning using an infinite Gaussian mixture model and active learning H Zuo, J Lu, G Zhang, F Liu IEEE Transactions on Fuzzy Systems 27 (2), 291-303, 2018 | 57 | 2018 |
| Distributed feature selection for big data using fuzzy rough sets L Kong, W Qu, J Yu, H Zuo, G Chen, F Xiong, S Pan, S Lin, M Qiu IEEE Transactions on Fuzzy Systems 28 (5), 846-857, 2019 | 48 | 2019 |
| Dynamic classifier alignment for unsupervised multi-source domain adaptation K Li, J Lu, H Zuo, G Zhang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4727-4740, 2022 | 40 | 2022 |
| Source-free multidomain adaptation with fuzzy rule-based deep neural networks K Li, J Lu, H Zuo, G Zhang IEEE Transactions on Fuzzy Systems 31 (12), 4180-4194, 2023 | 26 | 2023 |
| Multidomain adaptation with sample and source distillation K Li, J Lu, H Zuo, G Zhang IEEE Transactions on Cybernetics 54 (4), 2193-2205, 2023 | 21 | 2023 |
| Pareto optimal solution analysis of convex multi-objective programming problem G Zhang, H Zuo Journal of Networks 8 (2), 437, 2013 | 17 | 2013 |
| Fuzzy multioutput transfer learning for regression X Che, H Zuo, J Lu, D Chen IEEE Transactions on Fuzzy Systems 30 (7), 2438-2451, 2021 | 12 | 2021 |
| Multi-source domain adaptation with fuzzy-rule based deep neural networks K Li, J Lu, H Zuo, G Zhang 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 11 | 2021 |
| Multi-source domain adaptation with distribution fusion and relationship extraction K Li, J Lu, H Zuo, G Zhang 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 10 | 2020 |
| Domain selection of transfer learning in fuzzy prediction models H Zuo, G Zhang, W Pedrycz, J Lu 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019 | 10 | 2019 |
| Source-free multi-domain adaptation with generally auxiliary model training K Li, J Lu, H Zuo, G Zhang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 9 | 2022 |
| Transfer learning in hierarchical feature spaces H Zuo, G Zhang, V Behbood, J Lu, X Meng 2015 10th International Conference on Intelligent Systems and Knowledge …, 2015 | 7 | 2015 |
| Feature spaces-based transfer learning H Zuo, G Zhang, V Behbood, J Lu 2015 Conference of the International Fuzzy Systems Association and the …, 2015 | 7 | 2015 |
| Fuzzy rule-based transfer learning for label space adaptation H Zuo, G Zhang, J Lu, W Pedrycz 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 6 | 2017 |
Jie LU AO, FIEEE, FIFSA, FACS, Austr...Distinguished Professor, Director of Australian Artificial Intelligence InstituteПотвърден имейл адрес: uts.edu.au