Qi Chen
Qi Chen
Verified email at ecs.vuw.ac.nz
TitleCited byYear
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
242017
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
142015
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
122016
Genetic programming with embedded feature construction for high-dimensional symbolic regression
Q Chen, M Zhang, B Xue
Intelligent and Evolutionary Systems, 87-102, 2017
72017
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
62018
Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression
Q Chen, B Xue, Y Mei, M Zhang
European Conference on Genetic Programming, 229-245, 2017
62017
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
62016
Structural risk minimisation-driven genetic programming for enhancing generalisation in symbolic regression
Q Chen, M Zhang, B Xue
IEEE Transactions on Evolutionary Computation, 2018
32018
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation
Q Chen, M Zhang, B Xue
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
32017
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values
B Al-Helali, Q Chen, B Xue, M Zhang
Australasian Joint Conference on Artificial Intelligence, 345-357, 2018
12018
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression
Q Chen, M Zhang, B Xue
Asia-Pacific Conference on Simulated Evolution and Learning, 422-434, 2017
12017
Differential evolution for instance based transfer learning in genetic programming for symbolic regression
Q Chen, B Xue, M Zhang
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
2019
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
2019
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
2019
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
2019
Improving the Generalisation of Genetic Programming for Symbolic Regression
Q Chen
Victoria University of Wellington, 2018
2018
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