Generalisation and domain adaptation in GP with gradient descent for symbolic regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2015)

Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. - Qi Chen 002; Bing Xue 001; Ben Niu 002; Mengjie Zhang 001 (CEC, 2016)

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. - Qi Chen 002; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO, 2016)

Proceedings in Adaptation, Learning and Optimization. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (IES, 2016)

Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Yi Mei 001; Mengjie Zhang 001 (EuroGP, 2017)

New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (GECCO (Companion), 2017)

Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (SEAL, 2017)

Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (IEEE Trans. Evol. Comput., 2017)

A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Improving the Generalisation of Genetic Programming for Symbolic Regression. - Qi Chen 002 (2018)

Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (ACPR (2), 2019)

Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2019)

Instance based Transfer Learning for Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Genetic Programming with Rademacher Complexity for Symbolic Regression. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2019)

Differential evolution for instance based transfer learning in genetic programming for symbolic regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO (Companion), 2019)

A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2019)

Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2019)

Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. - Qi Chen 002; Mengjie Zhang 001; Bing Xue 001 (IEEE Trans. Evol. Comput., 2019)

Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2020)

Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2020)

Improving symbolic regression based on correlation between residuals and variables. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

Adaptive weighted splines: a new representation to genetic programming for symbolic regression. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2020)

GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. - Demelza Robinson; Qi Chen 002; Bing Xue 001; Daniel Killeen; Sara Fraser-Miller; Keith C. Gordon; Indrawati Oey; Mengjie Zhang 001 (CEC, 2021)

Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. - Demelza Robinson; Qi Chen 002; Bing Xue 001; Isabella Wagner; Michael Price; Paul Hume; Kai Chen; Justin Hodgkiss; Mengjie Zhang 001 (CEC, 2021)

Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Soft Comput., 2021)

Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EuroGP, 2022)

A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. - Demelza Robinson; Qi Chen 002; Bing Xue 001; Daniel Killeen; Keith C. Gordon; Mengjie Zhang 001 (EvoApplications, 2022)

Multi-task optimisation for multi-objective feature selection in classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2022)

Genetic Programming for Instance Transfer Learning in Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. - Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2022)

Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. - Mohamad Rimas; Qi Chen 002; Mengjie Zhang 001 (AI (2), 2023)

Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (AusDM, 2023)

MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. - Hengzhe Zhang; Qi Chen 002; Alberto Tonda; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2023)

AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EvoApplications@EvoStar, 2023)

Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. - Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2023)

A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. - Hengzhe Zhang; Aimin Zhou; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2023)

Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PRICAI (2), 2023)

Online Loss Function Learning. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2023)

Explainable Artificial Intelligence by Genetic Programming: A Survey. - Yi Mei 001; Qi Chen 002; Andrew Lensen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2023)

Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Importance-Based Pruning for Genetic Programming Based Symbolic Regression. - Mohamad Rimas; Qi Chen 002; Mengjie Zhang 001 (AI (2), 2024)

Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. - Mohamad Rimas; Mohamad Anfar; Qi Chen 002; Mengjie Zhang 001 (CEC, 2024)

Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. - Shanshan Tang; Qi Chen 002; Bing Xue 001; Min Huang; Mengjie Zhang 001 (CEC, 2024)

A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. - Jizhong Xu; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CEC, 2024)

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2024)

Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2024)

A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO Companion, 2024)

P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PPSN (1), 2024)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CoRR, 2024)

Meta-Learning Neural Procedural Biases. - Christian Raymond; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2024)

A geometric semantic macro-crossover operator for evolutionary feature construction in regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (Genet. Program. Evolvable Mach., 2024)

Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. - Baligh Al-Helali; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Cybern., 2024)

Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. - Hengzhe Zhang; Aimin Zhou; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Evolutionary Multitasking for Multiobjective Feature Selection in Classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CEC, 2025)

Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. - Hengzhe Zhang; Alberto Tonda; Qi Chen 002; Bing Xue 001; Evelyne Lutton; Mengjie Zhang 001 (EuroGP, 2025)

Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming. - Steven Dockter; Deepak Karunakaran; Qi Chen 002; Yongshi Deng (EvoApplications (2), 2025)

Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming. - Wenlong Fu; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (EvoApplications (2), 2025)

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (ICLR, 2025)

Regularized multi-task learning with individual-feature-based task correlations for Alzheimer's cognitive score prediction. - Shanshan Tang; Qi Chen 002; Bing Xue 001; Min Huang; Mengjie Zhang 001 (Comput. Methods Programs Biomed., 2025)

Semantics-guided multi-task genetic programming for multi-output regression. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Pattern Recognit., 2025)

Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification. - Jiabin Lin; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2025)

Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection. - Chunyu Wang; Qi Chen 002; Bing Xue 001; Mengjie Zhang 001 (Data Sci. Eng., 2025)