| 2026 | AAAI | ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data. | Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin |
| 2026 | ACL | Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design. | Yuchen Li, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin |
| 2026 | EUROGP | Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression. | Jiayu Zhang, Qi Chen, Bing Xue, Mengjie Zhang |
| 2026 | GECCO | MODE: Manifold Operator Decoding Embeddings for Neural Neighborhood Search for Vehicle Routing Problems. | Xiangling Chen, Yi Mei, Mengjie Zhang |
| 2026 | GECCO | A Genetic Programming Multi-Agent Topology Optimization Method under Stability Constraints. | Danlin Li, Bin Wang, Wenzhu Yang, Bing Xue, Mengjie Zhang |
| 2025 | CEC | Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression. | Mohamad Rimas Mohamad Anfar, Qi Chen, Mengjie Zhang |
| 2025 | CEC | Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images. | Jigang Fan, Ying Bi, Bing Xue, Mengjie Zhang |
| 2025 | CEC | Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem. | William Huang, Yi Mei, Gnther R. Raidl, Fangfang Zhang, Laurenz Tomandl, Steffen Limmer, Mengjie Zhang, Tobias Rodemann |
| 2025 | CEC | Cooperative Coevolutionary Probability-Based Binary Particle Swarm Optimization for High-Dimensional Feature Selection. | An-Da Li, Bing Xue, Mengjie Zhang, Xiongmin Lin, Guodong Wang |
| 2025 | CEC | Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems. | Saining Liu, Yi Mei, Mengjie Zhang |
| 2025 | CEC | Solving Multimodal Multi-objective Optimization Problems in Limited Time. | Fei Ming, Bing Xue, Wenyin Gong, Mengjie Zhang |
| 2025 | CEC | Preference-Based Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling. | Zhuoyin Qiao, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2025 | CEC | Genetic Programming with Activity Group Selection for Dynamic Multi-mode Resource-Constrained Project Scheduling Problems. | Yuan Tian, Yi Mei, Mengjie Zhang |
| 2025 | CEC | Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression. | Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang |
| 2025 | CEC | Multitree GP-Based Feature Learning for Multimodal Medical Image Classification. | Zhicheng Wu, Bing Xue, Mengjie Zhang |
| 2025 | CEC | Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis. | Yuye Zhang, Fangfang Zhang, Bing Xue, Mengjie Zhang |
| 2025 | CEC | A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2025 | CEC | Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. | Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen |
| 2025 | CEC | Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling. | Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2025 | EUROGP | Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression. | Hengzhe Zhang, Alberto Tonda, Qi Chen, Bing Xue, Evelyne Lutton, Mengjie Zhang |
| 2025 | EvoCOP | Generating (Semi-)active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics. | Yuan Tian, Yi Mei, Mengjie Zhang |
| 2025 | GECCO | Evolutionary Computation for Feature Selection and Feature Construction. | Bing Xue, Mengjie Zhang |
| 2025 | GECCO | Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search. | Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang |
| 2025 | GECCO | Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing Problem. | Xiang-Ling Chen, Yi Mei, Mengjie Zhang |
| 2025 | GECCO | Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming. | Zhixing Huang, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen |
| 2025 | GECCO | Particle Swarm Optimization for Automating Prompt Optimization in Large Language Models on Text Classification and Generation Tasks. | Linsen Li, Bin Wang, Bing Xue, Mengjie Zhang |
| 2025 | GECCO | A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability. | Quan Long, Bin Wang, Bing Xue, Mengjie Zhang |
| 2024 | CEC | Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. | Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2024 | CEC | Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. | Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen |
| 2024 | CEC | Evaluating Machine Learning Techniques for Predicting Salinity. | Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2024 | CEC | Evolutionary Label Selection for Multi-label Classification. | Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2024 | CEC | Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules. | Junwei Pang, Yi Mei, Mengjie Zhang |
| 2024 | CEC | Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. | Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang |
| 2024 | CEC | Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. | Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang |
| 2024 | CEC | Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. | Yuan Tian, Yi Mei, Mengjie Zhang |
| 2024 | CEC | Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. | Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang |
| 2024 | CEC | A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. | Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang |
| 2024 | CEC | Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling. | Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang |
| 2024 | EUROGP | Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | GECCO | Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. | Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2024 | GECCO | Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2024 | GECCO | Learning Traffic Signal Control via Genetic Programming. | Xiao-Cheng Liao, Yi Mei, Mengjie Zhang |
| 2023 | ACIVS | Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. | Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas |
| 2023 | AusDM | Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2023 | AusDM | Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. | Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | EUROGP | MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. | Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | GECCO | Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2023 | GECCO | A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. | Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2023 | GECCO | Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. | Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | GECCO | Learning to Select Initialisation Heuristic for Vehicle Routing Problems. | Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2023 | GECCO | Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2023 | GECCO | Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling. | Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2023 | GECCO | Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. | Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang |
| 2023 | GECCO | Learning Emergency Medical Dispatch Policies Via Genetic Programming. | Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal |
| 2022 | CEC | Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching. | Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2022 | CEC | Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. | Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang |
| 2022 | CEC | Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. | Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2022 | CEC | Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. | Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2022 | CEC | Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. | Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang |
| 2022 | EUROGP | An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. | Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2022 | EUROGP | Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. | Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang |
| 2022 | GECCO | Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2022 | GECCO | Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems. | Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2022 | GECCO | Particle swarm optimisation for sparsity-based feature selection in multi-label classification. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2022 | GECCO | Introduction to automated design of scheduling heuristics with genetic programming. | Marko Durasevic, Domagoj Jakobovic, Yi Mei, Su Nguyen, Mengjie Zhang |
| 2022 | GECCO | Graph-based linear genetic programming: a case study of dynamic scheduling. | Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2022 | GECCO | Multi-task optimisation for multi-objective feature selection in classification. | Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang |
| 2021 | CEC | GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. | Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2021 | CEC | Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. | Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2021 | CEC | Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. | Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2021 | CEC | An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. | Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2021 | CEC | Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2021 | CEC | Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. | Arka Ghosh, Bing Xue, Mengjie Zhang |
| 2021 | CEC | A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. | Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang |
| 2021 | CEC | A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. | An-Da Li, Bing Xue, Mengjie Zhang |
| 2021 | CEC | Deep Learning Model with GA-based Visual Feature Selection and Context Integration. | Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang |
| 2021 | CEC | Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. | Atiya Masood, Gang Chen, Mengjie Zhang |
| 2021 | CEC | Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2021 | CEC | Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. | Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang |
| 2021 | CEC | Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. | Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang |
| 2021 | CEC | A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2021 | CEC | A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. | Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang |
| 2021 | CEC | Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. | Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2021 | CEC | Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. | Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang |
| 2021 | CEC | Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. | Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang |
| 2021 | CEC | Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. | Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang |
| 2021 | GECCO | A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem. | Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2021 | GECCO | Sparsity-based evolutionary multi-objective feature selection for multi-label classification. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2021 | GECCO | Genetic programming with a new representation and a new mutation operator for image classification. | Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang |
| 2020 | CEC | Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. | Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | CEC | Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. | Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | CEC | Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. | Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2020 | CEC | Genetic Programming-Based Feature Learning for Facial Expression Classification. | Ying Bi, Bing Xue, Mengjie Zhang |
| 2020 | CEC | Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. | Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou |
| 2020 | CEC | Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem. | Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2020 | CEC | A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2020 | CEC | An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. | Benjamin P. Evans, Bing Xue, Mengjie Zhang |
| 2020 | CEC | A Region Adaptive Image Classification Approach Using Genetic Programming. | Qinglan Fan, Bing Xue, Mengjie Zhang |
| 2020 | CEC | A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. | Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang |
| 2020 | CEC | A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2020 | CEC | A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2020 | CEC | Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. | Bin Wang, Bing Xue, Mengjie Zhang |
| 2020 | EUROGP | Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. | Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | EUROGP | Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. | Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang |
| 2020 | GECCO | Evolutionary computation for feature selection and feature construction. | Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Improving symbolic regression based on correlation between residuals and variables. | Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | A genetic programming approach to feature construction for ensemble learning in skin cancer detection. | Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. | Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Evolving network structures for text classification using genetic algorithms. | Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Automatically extracting features for face classification using multi-objective genetic programming. | Ying Bi, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Improving generalisation of AutoML systems with dynamic fitness evaluations. | Benjamin P. Evans, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | A memetic level-based learning swarm optimizer for large-scale water distribution network optimization. | Ya-Hui Jia, Yi Mei, Mengjie Zhang |
| 2019 | CEC | Instance based Transfer Learning for Genetic Programming for Symbolic Regression. | Qi Chen, Bing Xue, Mengjie Zhang |
| 2019 | CEC | Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2019 | CEC | Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. | Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2019 | CEC | Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. | Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng |
| 2019 | CEC | An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. | Ying Bi, Bing Xue, Mengjie Zhang |
| 2019 | CEC | Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. | Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang |
| 2019 | CEC | A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. | William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang |
| 2019 | CEC | Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. | Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang |
| 2019 | CEC | Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2019 | CEC | Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. | Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue |
| 2019 | CEC | New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2019 | CEC | Genetic Programming with Rademacher Complexity for Symbolic Regression. | Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang |
| 2019 | CEC | Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation. | Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang |
| 2019 | CEC | Blocky Net: A New NeuroEvolution Method. | Thomas Watts, Bing Xue, Mengjie Zhang |
| 2019 | CEC | Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling? | Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2019 | CEC | Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. | Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2019 | EUROGP | Can Genetic Programming Do Manifold Learning Too? | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2019 | GECCO | Differential evolution for instance based transfer learning in genetic programming for symbolic regression. | Qi Chen, Bing Xue, Mengjie Zhang |
| 2019 | GECCO | Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem. | Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2019 | GECCO | An automated ensemble learning framework using genetic programming for image classification. | Ying Bi, Bing Xue, Mengjie Zhang |
| 2019 | GECCO | What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. | Benjamin P. Evans, Bing Xue, Mengjie Zhang |
| 2018 | CEC | Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification. | Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng |
| 2018 | CEC | Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. | Ying Bi, Mengjie Zhang, Bing Xue |
| 2018 | CEC | Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning. | Xiu Cheng, Will N. Browne, Mengjie Zhang |
| 2018 | CEC | Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. | Benjamin P. Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2018 | CEC | Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows. | Yi Mei, Mengjie Zhang |
| 2018 | CEC | Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. | Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | CEC | An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. | Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen |
| 2018 | CEC | Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. | Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang |
| 2018 | EUROGP | Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | EUROGP | Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. | John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang |
| 2018 | EUROGP | Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. | Daniel Yska, Yi Mei, Mengjie Zhang |
| 2018 | GECCO | Automatically evolving difficult benchmark feature selection datasets with genetic programming. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2017 | CEC | Genetic programming for skin cancer detection in dermoscopic images. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2017 | CEC | Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. | Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang |
| 2017 | CEC | Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. | Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang |
| 2017 | CEC | Particle Swarm Optimisation with genetic operators for feature selection. | Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang |
| 2017 | CEC | A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. | Su Nguyen, Mengjie Zhang |
| 2017 | CEC | Common subtrees in related problems: A novel transfer learning approach for genetic programming. | Damien O'Neill, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2017 | CEC | Genetic programming for solving common and domain-independent generic recursive problems. | Tessa Phillips, Mengjie Zhang, Bing Xue |
| 2017 | EUROGP | Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. | Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang |
| 2017 | EUROGP | Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. | Yi Mei, Su Nguyen, Mengjie Zhang |
| 2017 | EUROGP | Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data. | Binh Tran, Bing Xue, Mengjie Zhang |
| 2017 | GECCO | Evolving texture image descriptors using a multitree genetic programming representation. | Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2017 | GECCO | New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. | Qi Chen, Mengjie Zhang, Bing Xue |
| 2017 | GECCO | Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. | Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang |
| 2017 | GECCO | GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2017 | GECCO | Improving | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2017 | GECCO | Learning figure-ground image segmentors by genetic programming. | Yuyu Liang, Mengjie Zhang, Will N. Browne |
| 2017 | GECCO | Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem. | Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang |
| 2016 | CEC | Improving classification on images by extracting and transferring knowledge in genetic programming. | Muhammad Iqbal, Mengjie Zhang, Bing Xue |
| 2016 | CEC | Compaction for code fragment based learning classifier systems - Redux. | Isidro M. Alvarez, Will N. Browne, Mengjie Zhang |
| 2016 | CEC | Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features. | Francine Burling-Claridge, Muhammad Iqbal, Mengjie Zhang |
| 2016 | CEC | Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives. | Stefano Cagnoni, Mengjie Zhang |
| 2016 | CEC | An XCS-based algorithm for multi-objective reinforcement learning. | Xiu Cheng, Gang Chen, Mengjie Zhang |
| 2016 | CEC | Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection. | Qi Chen, Bing Xue, Ben Niu, Mengjie Zhang |
| 2016 | CEC | Further investigation on genetic programming with transfer learning for symbolic regression. | Edward Haslam, Bing Xue, Mengjie Zhang |
| 2016 | CEC | Figure-ground image segmentation using genetic programming and feature selection. | Yuyu Liang, Mengjie Zhang, Will N. Browne |
| 2016 | CEC | Many-objective genetic programming for job-shop scheduling. | Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang |
| 2016 | CEC | A comprehensive analysis on reusability of GP-evolved job shop dispatching rules. | Yi Mei, Mengjie Zhang |
| 2016 | CEC | Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. | Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang |
| 2016 | CEC | Maximising total weighted number of activities for reservation with slack. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2016 | CEC | Genetic programming for evolving programs with recursive structures. | Tessa Phillips, Mengjie Zhang, Bing Xue |
| 2016 | CEC | Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming. | Michael Riley, Yi Mei, Mengjie Zhang |
| 2016 | CEC | A memetic algorithm-based indirect approach to web service composition. | Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang |
| 2016 | CEC | Directly evolving classifiers for missing data using genetic programming. | Cao Truong Tran, Mengjie Zhang, Peter Andreae |
| 2016 | CEC | A PSO based hybrid feature selection algorithm for high-dimensional classification. | Binh Tran, Mengjie Zhang, Bing Xue |
| 2016 | CEC | Evolutionary computation for feature manipulation: Key challenges and future directions. | Bing Xue, Mengjie Zhang |
| 2016 | CEC | Evolutionary web service composition: A graph-based memetic algorithm. | Longfei Yan, Yi Mei, Hui Ma, Mengjie Zhang |
| 2016 | ECCV | Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation. | Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li |
| 2016 | EUROGP | Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue |
| 2016 | EUROGP | Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. | John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang |
| 2016 | EUROGP | A Genetic Programming-Based Imputation Method for Classification with Missing Data. | Cao Truong Tran, Mengjie Zhang, Peter Andreae |
| 2016 | GECCO | Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set. | Isidro M. Alvarez, Will N. Browne, Mengjie Zhang |
| 2016 | GECCO | Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. | Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang |
| 2016 | GECCO | Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference. | Yi Mei, Bing Xue, Mengjie Zhang |
| 2015 | AusDM | Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach. | Tony Butler-Yeoman, Bing Xue, Mengjie Zhang |
| 2015 | AusDM | Genetic Programming for Extracting Edge Features Using Two Blocks. | Wenlong Fu, Mengjie Zhang, Mark Johnston |
| 2015 | CEC | Image descriptor: A genetic programming approach to multiclass texture classification. | Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma |
| 2015 | CEC | Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach. | Tony Butler-Yeoman, Bing Xue, Mengjie Zhang |
| 2015 | CEC | Generalisation and domain adaptation in GP with gradient descent for symbolic regression. | Qi Chen, Bing Xue, Mengjie Zhang |
| 2015 | CEC | A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. | Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay |
| 2015 | CEC | Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation. | Chahine Koleejan, Bing Xue, Mengjie Zhang |
| 2015 | CEC | Genetic Programming for algae detection in river images. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma |
| 2015 | CEC | Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2015 | CEC | A GP approach to QoS-aware Web service composition including conditional constraints. | Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang |
| 2015 | CEC | Impact of imputation of missing values on Genetic programming based multiple feature construction for classification. | Cao Truong Tran, Peter Andreae, Mengjie Zhang |
| 2015 | CEC | F-MOGP: A novel many-objective evolutionary approach to QoS-aware data intensive web service composition. | Yang Yu, Hui Ma, Mengjie Zhang |
| 2015 | DEXA | GraphEvol: A Graph Evolution Technique for Web Service Composition. | Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang |
| 2015 | EUROGP | Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling. | John Park, Su Nguyen, Mengjie Zhang, Mark Johnston |
| 2015 | GECCO | Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction. | Harith Al-Sahaf, Mengjie Zhang, Mark Johnston |
| 2014 | CEC | A new GP-based wrapper feature construction approach to classification and biomarker identification. | Soha Ahmed, Mengjie Zhang, Lifeng Peng |
| 2014 | CEC | A hybrid discrete particle swarm optimisation method for grid computation scheduling. | Stephen Bennett, Su Nguyen, Mengjie Zhang |
| 2014 | CEC | Unsupervised learning for edge detection using Genetic Programming. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2014 | CEC | Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming. | Rachel Hunt, Mark Johnston, Mengjie Zhang |
| 2014 | CEC | Filter based backward elimination in wrapper based PSO for feature selection in classification. | Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang |
| 2014 | CEC | A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling. | Su Nguyen, Mengjie Zhang, Mark Johnston |
| 2014 | CEC | A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection. | Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang |
| 2014 | CEC | An archive based particle swarm optimisation for feature selection in classification. | Bing Xue, A. K. Qin, Mengjie Zhang |
| 2014 | CEC | A Genetic Programming approach to distributed QoS-aware web service composition. | Yang Yu, Hui Ma, Mengjie Zhang |
| 2014 | DEXA | An Enhanced Genetic Algorithm for Web Service Location-Allocation. | Hai Huang, Hui Ma, Mengjie Zhang |
| 2014 | EUROGP | Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. | Su Nguyen, Mengjie Zhang, Mark Johnston |
| 2014 | GECCO | Salient object detection using learning classifiersystems that compute action mappings. | Muhammad Iqbal, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang |
| 2014 | GECCO | Prediction of detectable peptides in MS data using genetic programming. | Soha Ahmed, Mengjie Zhang, Lifeng Peng |
| 2014 | GECCO | Multiple feature construction for effective biomarker identification and classification using genetic programming. | Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue |
| 2014 | GECCO | Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features. | Isidro M. Alvarez, Will N. Browne, Mengjie Zhang |
| 2014 | GECCO | Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. | Rachel Hunt, Mark Johnston, Mengjie Zhang |
| 2014 | GECCO | Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem. | Richard J. Marshall, Mark Johnston, Mengjie Zhang |
| 2014 | GECCO | Three-cornered coevolution learning classifier systems for classification tasks. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2013 | CEC | Enhanced feature selection for biomarker discovery in LC-MS data using GP. | Soha Ahmed, Mengjie Zhang, Lifeng Peng |
| 2013 | CEC | Hybridisation of Genetic Programming and Nearest Neighbour for classification. | Harith Al-Sahaf, Andy Song, Mengjie Zhang |
| 2013 | CEC | Binary particle swarm optimisation and rough set theory for dimension reduction in classification. | Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang |
| 2013 | CEC | Triangular-distribution-based feature construction using Genetic Programming for edge detection. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2013 | CEC | Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | CEC | The effect of primitive sets on the expression of evolved images. | Roman Klapaukh, Will N. Browne, Mengjie Zhang |
| 2013 | CEC | Genetic programming for order acceptance and scheduling. | John Park, Su Nguyen, Mengjie Zhang, Mark Johnston |
| 2013 | CEC | Resampling in Particle Swarm Optimization. | Juan Rada-Vilela, Mengjie Zhang, Mark Johnston |
| 2013 | CEC | Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming. | Aaron Scoble, Will N. Browne, Bill Stephenson, Zane Bruce, Mengjie Zhang |
| 2013 | CEC | Feature selection based on PSO and decision-theoretic rough set model. | Aneta Stevanovic, Bing Xue, Mengjie Zhang |
| 2013 | CEC | An adaptive genetic programming approach to QoS-aware web services composition. | Yang Yu, Hui Ma, Mengjie Zhang |
| 2013 | DEXA | Genetic Programming with Greedy Search for Web Service Composition. | Anqi Wang, Hui Ma, Mengjie Zhang |
| 2013 | EUROGP | Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan |
| 2013 | GECCO | Comparing ensemble learning approaches in genetic programming for classification with unbalanced data. | Urvesh Bhowan, Mark Johnston, Mengjie Zhang |
| 2013 | GECCO | Genetic programming for edge detection using multivariate density. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2013 | GECCO | Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Comparison of two methods for computing action values in XCS with code-fragment actions. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Adaptive artificial datasets to discover the effects of domain features for classification tasks. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2013 | GECCO | Adaptive artificial datasets through learning classifier systems for classification tasks. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2012 | CEC | Evolving Genetic Programming classifiers with loop structures. | Fahmi Abdulhamid, Andy Song, Kourosh Neshatian, Mengjie Zhang |
| 2012 | CEC | Extracting image features for classification by two-tier genetic programming. | Harith Al-Sahaf, Andy Song, Kourosh Neshatian, Mengjie Zhang |
| 2012 | CEC | Binary particle swarm optimisation for feature selection: A filter based approach. | Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang |
| 2012 | CEC | Genetic programming for edge detection via balancing individual training images. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2012 | CEC | Soft edge maps from edge detectors evolved by genetic programming. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2012 | CEC | Scalability analysis of genetic programming classifiers. | Rachel Hunt, Kourosh Neshatian, Mengjie Zhang |
| 2012 | CEC | A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan |
| 2012 | CEC | A performance study on the effects of noise and evaporation in Particle Swarm Optimization. | Juan Rada-Vilela, Mengjie Zhang, Winston Seah |
| 2012 | CEC | Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images. | Mahdi Setayesh, Mengjie Zhang, Mark Johnston |
| 2012 | CEC | New fitness functions in binary particle swarm optimisation for feature selection. | Bing Xue, Mengjie Zhang, Will N. Browne |
| 2012 | EUROGP | Improving Relevance Measures Using Genetic Programming. | Kourosh Neshatian, Mengjie Zhang |
| 2012 | EUROGP | Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan |
| 2012 | GECCO | XCS-based versus UCS-based feature pattern classification system. | Toktam Ebadi, Mengjie Zhang, Will N. Browne |
| 2012 | GECCO | Genetic programming for edge detection using blocks to extract features. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2012 | GECCO | Genetic programming for edge detection based on figure of merit. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2012 | GECCO | Extracting and using building blocks of knowledge in learning classifier systems. | Muhammad Iqbal, Will N. Browne, Mengjie Zhang |
| 2012 | GECCO | Two-cornered learning classifier systems for pattern generation and classification. | Syahaneim Marzukhi, Will N. Browne, Mengjie Zhang |
| 2011 | CEC | A domain independent Genetic Programming approach to automatic feature extraction for image classification. | Daniel L. Atkins, Kourosh Neshatian, Mengjie Zhang |
| 2011 | CEC | Execution trace caching for Linear Genetic Programming. | Carlton Downey, Mengjie Zhang |
| 2011 | CEC | Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting. | Anna Friedlander, Kourosh Neshatian, Mengjie Zhang |
| 2011 | CEC | Genetic programming for edge detection: A global approach. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2011 | CEC | Edge detection using constrained discrete particle swarm optimisation in noisy images. | Mahdi Setayesh, Mengjie Zhang, Mark Johnston |
| 2011 | CEC | A memetic particle swarm optimization for constrained multi-objective optimization problems. | Jingxuan Wei, Mengjie Zhang |
| 2011 | EUROGP | Parallel Linear Genetic Programming. | Carlton Downey, Mengjie Zhang |
| 2011 | GECCO | Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. | Urvesh Bhowan, Mark Johnston, Mengjie Zhang |
| 2011 | GECCO | Caching for parallel linear genetic programming. | Carlton Downey, Mengjie Zhang |
| 2011 | GECCO | Hybrid particle swarm optimisation based on history information sharing. | Wenlong Fu, Mark Johnston, Mengjie Zhang |
| 2011 | GECCO | Automatically defined functions for learning classifier systems. | Muhammad Iqbal, Mengjie Zhang, Will N. Browne |
| 2011 | GECCO | Confusion matrices for improving performance of feature pattern classifier systems. | Ignas Kukenys, Will N. Browne, Mengjie Zhang |
| 2010 | CEC | Evolution of aesthetically pleasing images without human-in-the-loop. | Daniel L. Atkins, Roman Klapaukh, Will N. Browne, Mengjie Zhang |
| 2010 | CEC | Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. | David Kinzett, Mengjie Zhang, Mark Johnston |
| 2010 | CEC | Using unrestricted loops in genetic programming for image classification. | Jan Larres, Mengjie Zhang, Will N. Browne |
| 2010 | CEC | Multi-Objective Genetic Programming for object detection. | Thomas Liddle, Mark Johnston, Mengjie Zhang |
| 2010 | CEC | Contribution based bloat control in Genetic Programming. | Andy Song, Dunhai Chen, Mengjie Zhang |
| 2010 | EUROGP | Genetic Programming for Classification with Unbalanced Data. | Urvesh Bhowan, Mengjie Zhang, Mark Johnston |
| 2010 | EUROGP | A Relaxed Approach to Simplification in Genetic Programming. | Mark Johnston, Thomas Liddle, Mengjie Zhang |
| 2010 | EUROGP | Analysis of Building Blocks with Numerical Simplification in Genetic Programming. | David Kinzett, Mengjie Zhang, Mark Johnston |
| 2010 | GECCO | AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. | Urvesh Bhowan, Mengjie Zhang, Mark Johnston |
| 2010 | GECCO | New crossover operators in linear genetic programming for multiclass object classification. | Carlton Downey, Mengjie Zhang, Will N. Browne |
| 2009 | CEC | Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data. | Urvesh Bhowan, Mark Johnston, Mengjie Zhang |
| 2009 | CEC | Particle Swarm Optimization based Adaboost for face detection. | Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston |
| 2009 | EUROGP | Genetic Programming for Feature Subset Ranking in Binary Classification Problems. | Kourosh Neshatian, Mengjie Zhang |
| 2009 | GECCO | How online simplification affects building blocks in genetic programming. | David Kinzett, Mark Johnston, Mengjie Zhang |
| 2008 | CEC | Evaluation of particle swarm optimization based centroid classifier with different distance metrics. | Ammar W. Mohemmed, Mengjie Zhang |
| 2008 | CEC | Genetic programming for performance improvement and dimensionality reduction of classification problems. | Kourosh Neshatian, Mengjie Zhang |
| 2008 | CEC | Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG. | William D. Smart, Mengjie Zhang |
| 2008 | CEC | SCHEME: Caching subtrees in genetic programming. | Phillip Wong, Mengjie Zhang |
| 2008 | CEC | An analysis of the distribution of swapped subtree sizes in tree-based genetic programming. | Huayang Xie, Mengjie Zhang, Peter Andreae |
| 2008 | CEC | Is the not-sampled issue in tournament selection critical? | Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston |
| 2008 | EUROGP | Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. | Kourosh Neshatian, Mengjie Zhang |
| 2007 | CEC | Effects of program simplification on simple building blocks in Genetic Programming. | Phillip Wong, Mengjie Zhang |
| 2007 | CEC | Genetic Programming for New Zealand CPI Inflation Prediction. | Huayang Xie, Mengjie Zhang, Peter Andreae |
| 2007 | CEC | An analysis of depth of crossover points in tree-based Genetic Programming. | Huayang Xie, Mengjie Zhang, Peter Andreae |
| 2007 | EUROGP | Empirical Analysis of GP Tree-Fragments. | William D. Smart, Peter Andreae, Mengjie Zhang |
| 2006 | CEC | A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming. | Huayang Xie, Mengjie Zhang, Peter Andreae |
| 2006 | CEC | Looseness Controlled Crossover in GP for Object Recognition. | Mengjie Zhang, Xiaoying Gao, Weijun Lou |
| 2006 | EUROGP | Population Clustering in Genetic Programming. | Huayang Xie, Mengjie Zhang, Peter Andreae |
| 2005 | EUROGP | Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems. | William D. Smart, Mengjie Zhang |
| 2004 | EUROGP | Genetic Programming with Gradient Descent Search for Multiclass Object Classification. | Mengjie Zhang, William D. Smart |
| 1999 | DEXA | Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection. | Mengjie Zhang, Victor Ciesielski |