| 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 | 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 |
| 2026 | ISKE | Federated Unlearning Model Recovery in Data with Skewed Label Distributions. | Xinrui Yu, Wenbin Pei, Bing Xue, Qiang 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 | 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 | Solving Multimodal Multi-objective Optimization Problems in Limited Time. | Fei Ming, Bing Xue, Wenyin Gong, 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 | 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 | 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 | 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 | 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 | 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 | IJCNN | A Heterogeneous Graph and Multi-Feature Fusion Based Framework for Smart Contract Vulnerability Detection. | Bing Xue, Jun Zhang, Zhongwei An, Zhaoxiong Song, Linpeng Jia, Zhi Yu |
| 2025 | PAKDD | Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models. | Bisma Ayaz, Xiaoying Gao, Bing Xue |
| 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 | 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 | An End-to-End Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-site and Multi-modal MRI Data. | Qichen Zhang, Yunhui Yue, Di Zhang, Kun Zhao, Alan Wang, Bing Xue, Yong Liu, Fangrong Zong |
| 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 | Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. | Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang |
| 2024 | CEC | Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. | Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue |
| 2024 | CEC | Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. | Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue |
| 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 | 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 | A Phenotypic Learning Classifier System for Problems with Continuous Features. | Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng |
| 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 | 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 | 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 | 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 | P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. | Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, 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 | 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 | 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 | Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. | Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang |
| 2023 | GECCO | Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems. | Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng |
| 2023 | GECCO | Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. | Christian Raymond, Qi Chen, Bing Xue, 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 | 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 | 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 | KDD | Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. | Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu |
| 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 | EUROGP | Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. | Christian Raymond, Qi Chen, Bing Xue, 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 | Multi-task optimisation for multi-objective feature selection in classification. | Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang |
| 2022 | GECCO | A comparison of rule compaction algorithms for michigan style learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 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 | ICDM | Self-explaining Hierarchical Model for Intraoperative Time Series. | Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu |
| 2022 | IVCNZ | Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. | Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler |
| 2022 | KDD | Perioperative Predictions with Interpretable Latent Representation. | Bing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher Ryan King, Joanna Abraham, Michael Avidan, Chenyang Lu |
| 2021 | AMIA | Multi-horizon prediction for extracorporeal support in COVID-19 patients. | Bing Xue, Neel Shah, Hanqing Yang, Charles Ziegenbein, Thomas George Kannampallil, Philip R. O. Payne, Chenyang Lu, Ahmed Sameh Said |
| 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 | Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. | Hayden Andersen, Andrew Lensen, Bing Xue |
| 2021 | CEC | Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. | Hayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao, Bing Xue |
| 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 | 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 | Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. | Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei |
| 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 | 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 | 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 | 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 | 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 | What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task. | Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue |
| 2021 | PRICAI | MGEoT: A Multi-grained Ensemble Method for Time Series Classification. | Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue |
| 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-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 | 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 Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2020 | CEC | Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. | Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei |
| 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 | 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 | Absumption and subsumption based learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 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 | IJCNN | Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. | Yuqiao Liu, Yanan Sun, Bing Xue, 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 | 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 | 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 | Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. | Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei |
| 2019 | CEC | Blocky Net: A New NeuroEvolution Method. | Thomas Watts, Bing Xue, 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 | 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 | Absumption to complement subsumption in learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 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 | 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 | Evolving deep neural networks by multi-objective particle swarm optimization for image classification. | Bin Wang, Yanan Sun, Bing Xue, 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 | 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 | Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining. | Xiaohan Bai, Xiaoying Gao, Bing Xue |
| 2018 | CEC | Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. | Ying Bi, Mengjie Zhang, Bing Xue |
| 2018 | CEC | Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. | Benjamin P. Evans, Harith Al-Sahaf, Bing Xue, 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 | GECCO | Automatically evolving difficult benchmark feature selection datasets with genetic programming. | Andrew Lensen, Bing Xue, Mengjie Zhang |
| 2018 | GECCO | A particle swarm optimization based feature selection approach to transfer learning in classification. | Bach Hoai Nguyen, Bing Xue, Peter Andreae |
| 2018 | GECCO | Evolutionary computation for feature selection and feature construction. | Bing Xue, Mengjie Zhang |
| 2018 | HAIS | Featuring the Attributes in Supervised Machine Learning. | Antonio J. Talln-Ballesteros, Lus Correia, Bing Xue |
| 2018 | ICONIP | Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. | Zeyu Mi, Lin Shang, Bing Xue |
| 2018 | IDEAL | Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms. | Antonio J. Talln-Ballesteros, Milan Tuba, Bing Xue, Takako Hashimoto |
| 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 | PRICAI | Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2018 | UIC | A Scalable and Efficient Multi-Label CNN-Based License Plate Recognition on Spark. | Weishan Zhang, Bing Xue, Jiehan Zhou, Xin Liu, Hao Lv |
| 2017 | CEC | Genetic programming for skin cancer detection in dermoscopic images. | Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang |
| 2017 | CEC | Particle Swarm Optimisation with genetic operators for feature selection. | Bach Hoai Nguyen, Bing Xue, Peter Andreae, 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 | 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 | 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 | Multiple reference points MOEA/D for feature selection. | Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, 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 | GECCO | PSO-based parameters selection for the bilateral filter in image denoising. | Chengyan Wang, Bing Xue, Lin Shang |
| 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 | 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 | Genetic programming for evolving programs with recursive structures. | Tessa Phillips, Mengjie Zhang, Bing Xue |
| 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 | 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 | 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 |
| 2016 | GECCO | Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. | Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue |
| 2016 | GECCO | Evolutionary Computation for Feature Selection and Feature Construction. | Mengjie Zhang, Bing Xue |
| 2016 | PAKDD | Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems. | Muhammad Iqbal, Bing Xue, Mengjie Zhang |
| 2016 | PRICAI | A Differential Evolution Approach to Feature Selection and Instance Selection. | Jiaheng Wang, Bing Xue, Xiaoying Gao, Mengjie Zhang |
| 2016 | SC | Fine-Grained Parallelism in Probabilistic Parsing with Habanero Java. | Matthew Francis-Landau, Bing Xue, Jason Eisner, Vivek Sarkar |
| 2015 | AusDM | Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach. | Tony Butler-Yeoman, Bing Xue, Mengjie Zhang |
| 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 | IVCNZ | A hybrid Genetic Programming approach to feature detection and image classification. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue |
| 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 | An archive based particle swarm optimisation for feature selection in classification. | Bing Xue, A. K. Qin, Mengjie Zhang |
| 2014 | GECCO | Multiple feature construction for effective biomarker identification and classification using genetic programming. | Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue |
| 2014 | GECCO | Differential evolution (DE) for multi-objective feature selection in classification. | Bing Xue, Wenlong Fu, 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 | Feature selection based on PSO and decision-theoretic rough set model. | Aneta Stevanovic, Bing Xue, Mengjie Zhang |
| 2013 | GECCO | PSO for feature construction and binary classification. | Bing Xue, Mengjie Zhang, Yan Dai, Will N. Browne |
| 2012 | CEC | Binary particle swarm optimisation for feature selection: A filter based approach. | Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang |
| 2012 | CEC | New fitness functions in binary particle swarm optimisation for feature selection. | Bing Xue, Mengjie Zhang, Will N. Browne |
| 2012 | GECCO | Multi-objective particle swarm optimisation (PSO) for feature selection. | Bing Xue, Mengjie Zhang, Will N. Browne |
| 2012 | PRICAI | A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. | Bing Xue, Liam Cervante, Lin Shang, Mengjie Zhang |
| 2010 | CEC | Constrained portfolio selection using multiple swarms. | Ben Niu, Lijing Tan, Bing Xue, Li Li, Yujuan Chai |
| 2010 | ICCD | A tag-based cache replacement. | Chuanjun Zhang, Bing Xue |
| 2009 | ICS | Divide-and-conquer: a bubble replacement for low level caches. | Chuanjun Zhang, Bing Xue |
| 2008 | ICCD | Two dimensional highly associative level-two cache design. | Chuanjun Zhang, Bing Xue |
| 2005 | IGARSS | A study on the landscape structure and change of the valley-city: case of Lanzhou. | Bing Xue, Xing-peng Chen, Yan Huang, Yong-jin Li, Yong Liu |
| 2005 | IGARSS | A research on the evolution of ecological environment and resources exploitation in Xinjiang. | Bing Xue, Xing-peng Chen, Xing-li Yu, Hong Miao, Xue-sen Tuo |
| 2005 | IGARSS | Application and discussion in small scale of china in research of ecological footprint - take the EF of Lanzhou university(graduate school) in 2003 as an example. | Xing-li Yu, Xing-peng Chen, Bing Xue |
| 2005 | IGARSS | Land cover changes and some proposals for promoting sustainable development in the source regions of the Yellow River, China. | Qing-guang Liu, Xing-peng Chen, Hong Miao, Li-min Gao, Bing Xue |