| 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 |
| 2026 | GECCO | MEFL: A Two-Stage Evolutionary Feature Learning Approach to Skin Cancer Diagnosis from Multimodal Data. | Zhicheng Wu, Bing Xue, Mengjie Zhang |
| 2026 | ISKE | Progressive Per-Branch Depth Optimization with DEFOM-Stereo and SAM3 for UAV Forestry. | Yida Lin, Bing Xue, Mengjie Zhang, Richard Green, Sam Schofield |
| 2026 | ISKE | From Pseudo-Ground-Truth to Edge Deployment: Benchmarking Deep Stereo Matching Networks on Real Radiata Pine Tree Images for UAV Tree Pruning. | Yida Lin, Bing Xue, Mengjie Zhang, Richard Green, Sam Schofield |
| 2026 | ISKE | UE5-Forest: Photorealistic Synthetic Stereo Pairs with Pixel-Exact Disparity for UAV Forestry Depth Estimation. | Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green |
| 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 |
| 2025 | GECCO | A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling. | Junwei Pang, Yi Mei, Mengjie Zhang |
| 2025 | GECCO | Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression. | Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton |
| 2025 | GECCO | When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification. | Alberto Tonda, Hengzhe Zhang, Qi Chen, Bing Xue, Mengjie Zhang, Evelyne Lutton |
| 2025 | ICLR | Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling. | Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang |
| 2025 | ICLR | RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2025 | IJCAI | Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS. | Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang |
| 2025 | IJCAI | LiBOG: Lifelong Learning for Black-Box Optimizer Generation. | Jiyuan Pei, Yi Mei, Jialin Liu, Mengjie Zhang |
| 2025 | IJCAI | GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. | Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang |
| 2025 | PRICAI | A Consistent Lebesgue Measure for Multi-label Learning. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2025 | PRICAI | Automated Design of Neural Networks for River Flow Prediction Using Weather Data. | Junhao Huang, Romain Chaput, Bing Xue, Ivy Liu, Ross Vennell, Mengjie Zhang |
| 2025 | PRICAI | Local Context-Aware Buoyancy Prediction for Mussel Farm Floats. | Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2025 | PRICAI | From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation. | Zhenshou Song, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel Killeen |
| 2025 | PRICAI | YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery. | Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler |
| 2025 | PRICAI | Scalable Knee-Point Guided Activity Group Selection in Multi-tree Genetic Programming for Dynamic Multi-Mode Project Scheduling. | Yuan Tian, Yi Mei, Mengjie Zhang |
| 2025 | PRICAI | Partial Multi-label Feature Selection Based on Matrix Elastic-Net. | Hao Xie, Ivy Liu, Bing Xue, Mengjie Zhang |
| 2025 | PRICAI | A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators. | Kunjie Yu, Mengyu Wang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang |
| 2025 | PRICAI | Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals. | Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang, Ruibin Bai |
| 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 |
| 2024 | GECCO | Genetic-based Constraint Programming for Resource Constrained Job Scheduling. | Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang |
| 2024 | GECCO | A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2024 | GECCO | Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. | Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang |
| 2024 | GECCO | EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation. | Jiahong Wei, Bing Xue, Mengjie Zhang |
| 2024 | GECCO | Evolutionary Computation for Feature Selection and Feature Construction. | Bing Xue, Mengjie Zhang |
| 2024 | GECCO | Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. | Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang |
| 2024 | GECCO | Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | GECCO | A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | ICONIP | Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis. | Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen |
| 2024 | ICSOC | Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning. | Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang |
| 2024 | IVCNZ | Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection. | Qinglan Fan, Ying Bi, Bing Xue, Jane E. Symonds, Lauren M. Fletcher, Mengjie Zhang |
| 2024 | IVCNZ | Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach. | Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang |
| 2024 | IVCNZ | Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision. | Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green |
| 2024 | IVCNZ | Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring. | Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2024 | IVCNZ | Top-Down Target Object Detection Through Context. | Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang, Osama Rehman, Aisha Ajmal, Simon Jigwan Park |
| 2024 | IVCNZ | Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks. | Jiaxuan Wang, Ruigeng Wang, Gal Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Gibrn Alfonso Zazueta Cruz, Stephen Hallett, Mitchell Rogers, Alexander Woodward, Alfonso Gastelum Strozzi, Riki Mitchel, Mengjie Zhang, Michael Witbrock, Patrice Delmas |
| 2024 | IVCNZ | Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images. | Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2024 | PPSN | GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems. | Saining Liu, Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2024 | PPSN | P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2024 | PRICAI | Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic. | Ruiqi Chen, Yi Mei, Fangfang Zhang, 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 |
| 2023 | GECCO | Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. | Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | GECCO | Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. | Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2023 | GECCO | Evolutionary Computation for Feature Selection and Feature Construction. | Bing Xue, Mengjie Zhang |
| 2023 | GECCO | An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. | Gonglin Yuan, Bing Xue, Mengjie Zhang |
| 2023 | GECCO | A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | GECCO | An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. | Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2023 | GECCO | Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. | Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | GECCO | Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. | Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang |
| 2023 | IVCNZ | Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks. | David Knox, Bing Xue, Mengjie Zhang, Jeromy Cuff |
| 2023 | IVCNZ | Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. | Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2023 | IVCNZ | Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels. | Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes, Cris Lovell-Smith |
| 2023 | IVCNZ | An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery. | Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler |
| 2023 | IVCNZ | A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. | Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2023 | IVCNZ | Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming. | Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2023 | IVCNZ | Large-Scale Mussel Farm Reconstruction with GPS Auxiliary. | Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang |
| 2023 | PRICAI | Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 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 |
| 2022 | GECCO | Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2022 | GECCO | Genetic programming with diverse partner selection for dynamic flexible job shop scheduling. | Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2022 | GECCO | Evolutionary computation for feature selection and feature construction. | Bing Xue, Mengjie Zhang |
| 2022 | ICDM | A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2022 | ICSOC | Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. | Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang |
| 2022 | IVCNZ | Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. | Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler |
| 2022 | PPSN | Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. | Fangfang Zhang, Yi Mei, Su Nguyen, 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 |
| 2021 | GECCO | Genetic programming for borderline instance detection in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2021 | GECCO | Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. | Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang |
| 2021 | GECCO | Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2021 | GECCO | Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. | Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang |
| 2021 | GECCO | A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. | Bin Wang, Bing Xue, Mengjie Zhang |
| 2021 | GECCO | Evolutionary computation for feature selection and feature construction. | Bing Xue, Mengjie Zhang |
| 2021 | GECCO | Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2021 | IVCNZ | Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. | Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang |
| 2021 | IVCNZ | Deep Convolutional Neural Networks for Fish Weight Prediction from Images. | Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, Mengjie Zhang, Maren Wellenreuther |
| 2021 | PRICAI | A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. | Gonglin Yuan, 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 |
| 2020 | GECCO | Relatedness measures to aid the transfer of building blocks among multiple tasks. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2020 | GECCO | Neural architecture search for sparse DenseNets with dynamic compression. | Damien O'Neill, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2020 | GECCO | Adaptive weighted splines: a new representation to genetic programming for symbolic regression. | Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. | Hang Xu, Bing Xue, Mengjie Zhang |
| 2020 | GECCO | Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2020 | GECCO | A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming. | Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang |
| 2020 | ICA3PP | A Privacy-Preserving Approach for Continuous Data Publication. | Mengjie Zhang, Xingsheng Zhang, Zhijun Chen, Dunhui Yu |
| 2020 | IJCNN | Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. | Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang |
| 2020 | IJCNN | Effective Linear Policy Gradient Search through Primal-Dual Approximation. | Yiming Peng, Gang Chen, Mengjie Zhang |
| 2020 | IVCNZ | A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. | Gonglin Yuan, Bing Xue, Mengjie Zhang |
| 2020 | PPSN | Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. | Ying Bi, Bing Xue, 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 |
| 2019 | GECCO | Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. | Brandon Muller, Harith Al-Sahaf, Bing Xue, Mengjie Zhang |
| 2019 | GECCO | Population-based ensemble classifier induction for domain adaptation. | Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae |
| 2019 | GECCO | Improvement of code fragment fitness to guide feature construction in XCS. | Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2019 | GECCO | Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2019 | GECCO | Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. | Binh Tran, Bing Xue, Mengjie Zhang |
| 2019 | GECCO | Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2019 | GECCO | Evolving deep neural networks by multi-objective particle swarm optimization for image classification. | Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang |
| 2019 | GECCO | Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2019 | GECCO | A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling. | Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2019 | IVCNZ | Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2019 | IVCNZ | The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets. | Damien O'Neill, Bing Xue, Mengjie Zhang |
| 2019 | PRICAI | A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. | Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2019 | PRICAI | Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches. | Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng |
| 2019 | PRICAI | A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. | Bin Wang, Yanan Sun, 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 |
| 2018 | GECCO | Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. | Yi Mei, Mengjie Zhang |
| 2018 | GECCO | Adaptive charting genetic programming for dynamic flexible job shop scheduling. | Su Nguyen, Mengjie Zhang, Kay Chen Tan |
| 2018 | GECCO | NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. | Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang |
| 2018 | GECCO | Evolutionary computation for feature selection and feature construction. | Bing Xue, Mengjie Zhang |
| 2018 | GECCO | Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. | Daniel Yska, Yi Mei, Mengjie Zhang |
| 2018 | GECCO | Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. | Mengjie Zhang, Stefano Cagnoni |
| 2018 | IJCNN | Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. | Gang Chen, Yiming Peng, Mengjie Zhang |
| 2018 | IJCNN | The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm. | Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang |
| 2018 | ICWS | A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition. | Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang |
| 2018 | IVCNZ | Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection. | Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang |
| 2018 | PPSN | Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. | Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2018 | PRICAI | Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, 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 |
| 2017 | GECCO | Multiple reference points MOEA/D for feature selection. | Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang |
| 2017 | GECCO | Automated state feature learning for actor-critic reinforcement learning through NEAT. | Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang |
| 2017 | GECCO | Fragment-based genetic programming for fully automated multi-objective web service composition. | Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang |
| 2017 | GECCO | Multiple imputation and genetic programming for classification with incomplete data. | Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue |
| 2017 | GECCO | Genetic programming based feature construction for classification with incomplete data. | Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue |
| 2017 | IJCNN | An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. | Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang |
| 2017 | IJCNN | A sandpile model for reliable actor-critic reinforcement learning. | Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang |
| 2017 | IVCNZ | An automatic region detection and processing approach in genetic programming for binary image classification. | Ying Bi, Mengjie Zhang, Bing Xue |
| 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 |