Qi Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 57

Top Topics

Genetic Programming

Top Venues

IEEE Trans. Evol. Comput.

Publications

Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. CEC (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25 (1) (2024)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. 54 (7) (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO (2024)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR (2024)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP (2024)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Meta-Learning Neural Procedural Biases. CoRR (2024)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Online Loss Function Learning. CoRR (2023)
Mohamad Rimas, Qi Chen, Mengjie Zhang
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. AI (2) (2023)
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18 (4) (2023)
Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27 (3) (2023)
Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion (2023)
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM (2023)
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications (2022)
Qi Chen, Bing Xue, Mengjie Zhang
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 52 (4) (2022)
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion (2022)
Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. 52 (1) (2022)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. CoRR (2022)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP (2022)
Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. CEC (2021)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. IEEE Trans. Evol. Comput. 25 (6) (2021)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. 25 (8) (2021)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. GECCO Companion (2021)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. CEC (2021)
Qi Chen, Bing Xue, Mengjie Zhang
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. IEEE Trans. Evol. Comput. 25 (3) (2021)
Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang
Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. CEC (2021)
Qi Chen, Bing Xue, Mengjie Zhang
Improving symbolic regression based on correlation between residuals and variables. GECCO (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. CEC (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. CEC (2020)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. SSCI (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. EuroGP (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. GECCO (2020)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. Australasian Conference on Artificial Intelligence (2019)
Qi Chen, Bing Xue, Mengjie Zhang
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. CEC (2019)
Qi Chen, Mengjie Zhang, Bing Xue
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Trans. Evol. Comput. 23 (4) (2019)
Qi Chen, Bing Xue, Mengjie Zhang
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Trans. Evol. Comput. 23 (3) (2019)
Qi Chen, Bing Xue, Mengjie Zhang
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. GECCO (Companion) (2019)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. ACPR (2) (2019)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. SSCI (2019)
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC (2019)
Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence (2018)
Qi Chen, Mengjie Zhang, Bing Xue
Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. SEAL (2017)
Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. EuroGP (2017)
Qi Chen, Mengjie Zhang, Bing Xue
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Trans. Evol. Comput. 21 (5) (2017)
Qi Chen, Mengjie Zhang, Bing Xue
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. GECCO (Companion) (2017)
Qi Chen, Bing Xue, Ben Niu, Mengjie Zhang
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. CEC (2016)
Qi Chen, Mengjie Zhang, Bing Xue
Proceedings in Adaptation, Learning and Optimization. IES (2016)
Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. GECCO (2016)
Qi Chen, Bing Xue, Mengjie Zhang
Generalisation and domain adaptation in GP with gradient descent for symbolic regression. CEC (2015)
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar (2013)