| A survey on evolutionary machine learning H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei, Y Sun, B Tran, B Xue, ... Journal of the Royal Society of New Zealand 49 (2), 205-228, 2019 | 231 | 2019 |
| Feature selection to improve generalization of genetic programming for high-dimensional symbolic regression Q Chen, M Zhang, B Xue IEEE Transactions on Evolutionary Computation 21 (5), 792-806, 2017 | 142 | 2017 |
| Explainable artificial intelligence by genetic programming: A survey Y Mei, Q Chen, A Lensen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation 27 (3), 621-641, 2022 | 81 | 2022 |
| Improving generalization of genetic programming for symbolic regression with angle-driven geometric semantic operators Q Chen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation 23 (3), 488-502, 2018 | 62 | 2018 |
| A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data B Al-Helali, Q Chen, B Xue, M Zhang Soft Computing 25 (8), 5993-6012, 2021 | 51 | 2021 |
| Structural risk minimization-driven genetic programming for enhancing generalization in symbolic regression Q Chen, M Zhang, B Xue IEEE Transactions on Evolutionary Computation 23 (4), 703-717, 2018 | 45 | 2018 |
| Rademacher complexity for enhancing the generalization of genetic programming for symbolic regression Q Chen, B Xue, M Zhang IEEE Transactions on Cybernetics 52 (4), 2382-2395, 2020 | 38 | 2020 |
| Generalisation and domain adaptation in GP with gradient descent for symbolic regression Q Chen, B Xue, M Zhang 2015 IEEE congress on evolutionary computation (CEC), 1137-1144, 2015 | 38 | 2015 |
| Improving generalisation of genetic programming for symbolic regression with structural risk minimisation Q Chen, B Xue, L Shang, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference 2016, 709-716, 2016 | 35 | 2016 |
| A hybrid GP-KNN imputation for symbolic regression with missing values B Al-Helali, Q Chen, B Xue, M Zhang AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 34 | 2018 |
| Genetic programming for instance transfer learning in symbolic regression Q Chen, B Xue, M Zhang IEEE Transactions on Cybernetics 52 (1), 25-38, 2020 | 28 | 2020 |
| Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection Q Chen, B Xue, B Niu, M Zhang 2016 IEEE Congress on Evolutionary Computation (CEC), 3793-3800, 2016 | 26 | 2016 |
| Multitree genetic programming with new operators for transfer learning in symbolic regression with incomplete data B Al-Helali, Q Chen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation 25 (6), 1049-1063, 2021 | 23 | 2021 |
| Genetic programming with embedded feature construction for high-dimensional symbolic regression Q Chen, M Zhang, B Xue Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES …, 2017 | 23 | 2017 |
| SR-Forest: a genetic programming based heterogeneous ensemble learning method H Zhang, A Zhou, Q Chen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 22 | 2023 |
| Instance based transfer learning for genetic programming for symbolic regression Q Chen, B Xue, M Zhang 2019 IEEE Congress on Evolutionary Computation (CEC), 3006-3013, 2019 | 21 | 2019 |
| Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression Q Chen, B Xue, Y Mei, M Zhang Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 19 | 2017 |
| Preserving population diversity based on transformed semantics in genetic programming for symbolic regression Q Chen, B Xue, M Zhang IEEE Transactions on Evolutionary Computation 25 (3), 433-447, 2020 | 18 | 2020 |
| Genetic programming with rademacher complexity for symbolic regression C Raymond, Q Chen, B Xue, M Zhang 2019 IEEE Congress on Evolutionary Computation (CEC), 2657-2664, 2019 | 18 | 2019 |
| Improving symbolic regression based on correlation between residuals and variables Q Chen, B Xue, M Zhang Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 922-930, 2020 | 14 | 2020 |
Bing Xue, Fellow of IEEE, Fellow of En...Professor of Artificial Intelligence, Victoria University of Wellington在 ecs.vuw.ac.nz 的电子邮件经过验证
