Qi Chen - RankMe

90 papers A* 1A 8B 22C 1Misc 1Journal 32Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization. CoRR Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2026	J	`jnl`	Evolutionary multitasking for multi-objective feature selection in fish chemical analysis. Appl. Soft Comput. Jiabin Lin, Qi Chen, Bing Xue, Jeremy S. Rooney, Mengjie Zhang, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2025	B	`conf`	A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. CEC Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025	J	`jnl`	Adaptive complexity knee point selection in multi-objective genetic programming for improving generalization of evolutionary feature construction in regression. Genet. Program. Evolvable Mach. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025	—	`conf`	Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming. EvoApplications (2) Steven Dockter, Deepak Karunakaran, Qi Chen, Yongshi Deng
2025	—	`conf`	Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression. GECCO Companion Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton
2025	J	`jnl`	Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification. IEEE Trans. Emerg. Top. Comput. Intell. Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2025	—	`conf`	Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming. EvoApplications (2) Wenlong Fu, Qi Chen, Bing Xue, Mengjie Zhang
2025	J	`jnl`	Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection. Data Sci. Eng. Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025	J	`jnl`	LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression. CoRR Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang
2025	J	`jnl`	Meta-Learning Adaptive Loss Functions. Trans. Mach. Learn. Res. Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2025	B	`conf`	Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. EuroGP Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton, Mengjie Zhang
2025	B	`conf`	Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression. CEC Mohamad Rimas Mohamad Anfar, Qi Chen, Mengjie Zhang
2025	A*	`conf`	RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. ICLR Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025	J	`jnl`	Regularized multi-task learning with individual-feature-based task correlations for Alzheimer's cognitive score prediction. Comput. Methods Programs Biomed. Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang
2025	B	`conf`	Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression. CEC Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025	J	`jnl`	Semantics-guided multi-task genetic programming for multi-output regression. Pattern Recognit. Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025	—	`conf`	When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification. GECCO Companion Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton
2024	B	`conf`	A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. CEC Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. IEEE Trans. Evol. Comput. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	—	`conf`	A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. GECCO Companion Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	J	`jnl`	A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	A	`conf`	Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	J	`jnl`	Evolutionary Multitasking for Multiobjective Feature Selection in Classification. IEEE Trans. Evol. Comput. Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2024	B	`conf`	Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. CEC Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang
2024	J	`jnl`	Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2024	B	`conf`	Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. CEC Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang
2024	—	`conf`	Importance-Based Pruning for Genetic Programming Based Symbolic Regression. AI (2) Mohamad Rimas, Qi Chen, Mengjie Zhang
2024	B	`conf`	Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	J	`jnl`	Meta-Learning Neural Procedural Biases. CoRR Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. IEEE Trans. Evol. Comput. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	—	`conf`	Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. GECCO Companion Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2024	—	`conf`	P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. PPSN (1) Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2024	J	`jnl`	SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. IEEE Trans. Evol. Comput. Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023	A	`conf`	A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023	—	`conf`	AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2023	—	`conf`	Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023	—	`conf`	Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. AI (2) Mohamad Rimas, Qi Chen, Mengjie Zhang
2023	J	`jnl`	Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang
2023	A	`conf`	Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2023	—	`conf`	Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang
2023	J	`jnl`	Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2023	J	`jnl`	MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023	B	`conf`	MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023	J	`jnl`	Online Loss Function Learning. CoRR Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2023	A	`conf`	Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2023	Misc	`conf`	Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2022	B	`conf`	A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang
2022	J	`jnl`	Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. Qi Chen, Bing Xue, Mengjie Zhang
2022	J	`jnl`	Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. CoRR Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2022	B	`conf`	Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2022	—	`conf`	Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2022	J	`jnl`	Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. Qi Chen, Bing Xue, Mengjie Zhang
2021	J	`jnl`	A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2021	B	`conf`	GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. CEC Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2021	B	`conf`	Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. CEC Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang
2021	—	`conf`	Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. GECCO Companion Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2021	J	`jnl`	Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. IEEE Trans. Evol. Comput. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2021	B	`conf`	Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. CEC Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang
2021	J	`jnl`	Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. IEEE Trans. Evol. Comput. Qi Chen, Bing Xue, Mengjie Zhang
2020	A	`conf`	Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2020	—	`conf`	Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	—	`conf`	GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. SSCI Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	B	`conf`	Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. CEC Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	—	`conf`	Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	B	`conf`	Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. EuroGP Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	A	`conf`	Improving symbolic regression based on correlation between residuals and variables. GECCO Qi Chen, Bing Xue, Mengjie Zhang
2020	B	`conf`	Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. CEC Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2020	A	`conf`	Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. GECCO Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019	—	`conf`	A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. SSCI Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019	—	`conf`	Differential evolution for instance based transfer learning in genetic programming for symbolic regression. GECCO (Companion) Qi Chen, Bing Xue, Mengjie Zhang
2019	—	`conf`	Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. Australasian Conference on Artificial Intelligence Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019	B	`conf`	Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
2019	—	`conf`	Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. ACPR (2) Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2019	J	`jnl`	Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Trans. Evol. Comput. Qi Chen, Bing Xue, Mengjie Zhang
2019	B	`conf`	Instance based Transfer Learning for Genetic Programming for Symbolic Regression. CEC Qi Chen, Bing Xue, Mengjie Zhang
2019	J	`jnl`	Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Trans. Evol. Comput. Qi Chen, Mengjie Zhang, Bing Xue
2018	—	`conf`	A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang
2018	—	`—`	Improving the Generalisation of Genetic Programming for Symbolic Regression. Qi Chen
2017	J	`jnl`	Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Trans. Evol. Comput. Qi Chen, Mengjie Zhang, Bing Xue
2017	B	`conf`	Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. EuroGP Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang
2017	—	`conf`	Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression. SEAL Qi Chen, Mengjie Zhang, Bing Xue
2017	—	`conf`	New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. GECCO (Companion) Qi Chen, Mengjie Zhang, Bing Xue
2016	A	`conf`	Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. GECCO Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang
2016	B	`conf`	Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. CEC Qi Chen, Bing Xue, Ben Niu, Mengjie Zhang
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Qi Chen, Mengjie Zhang, Bing Xue
2015	B	`conf`	Generalisation and domain adaptation in GP with gradient descent for symbolic regression. CEC Qi Chen, Bing Xue, Mengjie Zhang