- Wood, J., Nguyen, B., Xue, B., Zhang, M., & Killeen, D. (2025) "Hook, line, and spectra: machine learning for fish species identification and body part classification using rapid evaporative ionization mass spectrometry". Intelligent Marine Technology and Systems, 3(1). doi:10.1007/s44295-025-00066-3
- Palli, A. S., Jaafar, J., Md Saad, M. H., Mokhtar, A. A., Gomes, H. M., Soomro, A. A., & Gilal, A. R. (2025) "Smart adaptive ensemble model for multiclass imbalanced nonstationary data streams". Scientific Reports, 15(1). doi:10.1038/s41598-025-05122-w
- Tang, S., Chen, Q., Xue, B., Huang, M., & Zhang, M. (2025) "Regularized multi-task learning with individual-feature-based task correlations for Alzheimer's cognitive score prediction". Computer Methods and Programs in Biomedicine, 270. doi:10.1016/j.cmpb.2025.108954
- Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2025) "Efficient perturbation-aware distinguishing score for zero-shot neural architecture search". Applied Soft Computing, 182. doi:10.1016/j.asoc.2025.113447
- Xie, H., Liu, I., Xue, B., & Zhang, M. (2025) "Partial multi-label feature selection via adaptive dual-graph regularization". Knowledge Based Systems, 326. doi:10.1016/j.knosys.2025.114077
- Wang, Q., Bi, Y., Xue, B., & Zhang, M. (2025) "A new genetic programming approach to fine-grained flower image classification". Complex and Intelligent Systems, 11(9). doi:10.1007/s40747-025-02004-6
- Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2025) "Automated design of neural networks with multi-scale convolutions via multi-path weight sampling". Pattern Recognition, 165. doi:10.1016/j.patcog.2025.111605
- Zhen, H., Xue, B., Gong, W., Zhang, M., & Wang, L. (2025) "Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator". Swarm and Evolutionary Computation, 97. doi:10.1016/j.swevo.2025.102034
- Schindler, J., Sun, Z., Xue, B., & Zhang, M. (2025) "Efficient tree mapping through deep distance transform (DDT) learning". ISPRS Open Journal of Photogrammetry and Remote Sensing, 17. doi:10.1016/j.ophoto.2025.100095
- Han, B., Li, H., Li, K., Zhai, J., Ren, W., Gang, S., . . . Xue, B. (2025) "Uncovering the commodification of food in rural Chinese households". Journal of Rural Studies, 118. doi:10.1016/j.jrurstud.2025.103693
- Xie, C., Xue, B., Yang, M., Zhang, M., Xu, Z., Wang, J., . . . Liu, Y. (2025) "Evolutionary neural architecture search for automatically designing CNN-GRU-Attention neural networks for turntable servo systems". Expert Systems with Applications, 283. doi:10.1016/j.eswa.2025.127765
- Pang, J., Mei, Y., & Zhang, M. (2025) "A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 267-276). ACM. doi:10.1145/3712256.3726371
- Long, Q., Wang, B., Xue, B., & Zhang, M. (2025) "A Multi-Objective Approach to Optimizing Kolmogorov-Arnold Networks for Classification Tasks to Balance Accuracy and Interpretability". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1273-1281). ACM. doi:10.1145/3712256.3726354
- Chen, X. -L., Mei, Y., & Zhang, M. (2025) "Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing Problem". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1108-1116). ACM. doi:10.1145/3712256.3726372
- Bai, M., Gao, X., Niu, J., & Ma, J. (2025) "Multi-Objective Genetic Programming for Imbalanced Classification with Adaptive Thresholds and a New Fitness Function". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 961-969). ACM. doi:10.1145/3712256.3726348
- Zhang, F., Ardeh, M. A., Mei, Y., & Zhang, M. (2025) "Genetic Programming with Tabu List for Dynamic Flexible Job Shop Scheduling". Evolutionary Computation, 1-29. doi:10.1162/evco.a.26
- Huang, Z., Mei, Y., Zhang, F., Zhang, M., & Banzhaf, W. (2025) "Cross-Representation Genetic Programming: A Case Study on Tree-Based and Linear Representations". Evolutionary Computation, 1-28. doi:10.1162/evco.a.25
- Xu, H., Xue, B., & Zhang, M. (2025) "An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification". Complex and Intelligent Systems, 11(7). doi:10.1007/s40747-025-01941-6
- Xu, B., Cao, X., Zhang, S., Shen, J., Wang, C., Wang, S., . . . Wang, Y. (2025) "Terminal normalization in genetic programming for dynamic flexible job shop scheduling". Swarm and Evolutionary Computation, 96. doi:10.1016/j.swevo.2025.101970
- Li, N., Ma, L., Wang, R., Cheng, S., Sun, Y., Xue, B., & Zhang, M. (2025) "Listwise ranking predictor for evolutionary neural architecture search". Swarm and Evolutionary Computation, 96. doi:10.1016/j.swevo.2025.101956
- Nguyen, B. H., Xue, B., & Zhang, M. (2025) "Evolutionary Sparsity Regularisation-Based Feature Selection for Binary Classification". Evolutionary Computation, 33(2), 215-248. doi:10.1162/evco_a_00358
- Zheng, Y., Zhang, F., Gao, X., & Ma, J. (2025) "Bagging-based ensemble classifiers using multi-objective genetic programming". Memetic Computing, 17(2). doi:10.1007/s12293-025-00444-8
- Xue, B., Li, H., & Ren, W. (2025) "Connotation and innovation directions of applied ecology from the perspective of new quality productive forces". Chinese Journal of Applied Ecology, 36(6), 1609-1615. doi:10.13287/j.1001-9332.202506.031
- Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2025) "Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning". Artificial Intelligence Review, 58(6). doi:10.1007/s10462-024-11059-9
- Wang, C., Chen, Q., Xue, B., & Zhang, M. (2025) "Improving Generalization of Genetic Programming for High-Dimensional Symbolic Regression with Shapley Value Based Feature Selection". Data Science and Engineering, 10(2), 196-211. doi:10.1007/s41019-024-00270-x
- Jia, K., Zhang, F., Gao, X., & Ma, J. (2025) "Archive-based multiple feature construction method using adaptive genetic programming". Memetic Computing, 17(2). doi:10.1007/s12293-025-00453-7
- Wang, C., Chen, Q., Xue, B., & Zhang, M. (2025) "Semantics-guided multi-task genetic programming for multi-output regression". Pattern Recognition, 161. doi:10.1016/j.patcog.2024.111289
- Lee, A., Gomes, H. M., Zhang, Y., & Bastiaan Kleijn, W. (2025) "Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP". Proceedings of the Aaai Conference on Artificial Intelligence, 39(17), 18053-18061. doi:10.1609/aaai.v39i17.33986
- Zhang, T., Bi, Y., Liang, J., Xue, B., & Zhang, M. (2025) "Multi-objective genetic programming based on decomposition for feature learning in image classification". Swarm and Evolutionary Computation, 94. doi:10.1016/j.swevo.2025.101875
- Alvarez, I. M., Nguyen, T. B., Browne, W. N., & Zhang, M. (2025) "A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems". Evolutionary Computation, 33(1), 115-140. doi:10.1162/evco_a_00351
- Xie, C., Xue, B., Zhang, M., Chen, S., & Liu, Y. (2025) "Evolving temporal convolutional neural networks for modeling turntable servo systems". Applied Soft Computing, 172. doi:10.1016/j.asoc.2025.112800
- Lin, B. C., Mei, Y., & Zhang, M. (2025) "Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation". Memetic Computing, 17(1). doi:10.1007/s12293-025-00435-9
- Culpi Mann, E., Gomes, H. M., Williamson, A. J., & Castelo Branco, M. (2025) "A decade of biodiversity conservation: insights into corporate social responsibility in an emerging market context". International Journal of Emerging Markets, 20(3), 1170-1189. doi:10.1108/IJOEM-05-2022-0744
- Gomes, H. M., Lee, A., Gunasekara, N., Sun, Y., Cassales, G. W., Liu, J., . . . Bifet, A. (2025) "CapyMOA: Efficient Machine Learning for Data Streams in Python". __. doi:10.48550/arxiv.2502.07432
- Sun, Y., Gomes, H. M., Pfahringer, B., & Bifet, A. (2025) "Evaluation for Regression Analyses on Evolving Data Streams". __. doi:10.48550/arxiv.2502.07213
- Zhao, J., Xue, B., & Zhang, M. (2025) "SALENet: Structure-Aware Lighting Estimations from a Single Image for Indoor Environments". IEEE Transactions on Image Processing. doi:10.1109/TIP.2024.3512381
- Zhang, M. (2025) "2025 IEEE CIS Awards [Society Briefs]". IEEE Computational Intelligence Magazine, 20(1), 9-12. doi:10.1109/mci.2024.3505334
- Wang, F., Zuo, X., Huang, H., & Chen, G. (2025) "ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks". __. doi:10.1609/aaai.v39i7.32821
- Qi, R., Jia, Y. H., Chen, W. N., Bi, Y., & Mei, Y. (2025) "An evolutionary optimization-learning hybrid algorithm for energy resource management". Swarm and Evolutionary Computation, 92. doi:10.1016/j.swevo.2024.101831
- Doherty, W., Lee, A., & Gomes, H. M. (2025) "CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning". __. doi:10.48550/arxiv.2501.11140
- Zhu, L., Zhang, F., Zhu, X., Chen, K., & Zhang, M. (2025) "Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Artificial Intelligence. doi:10.1109/TAI.2025.3562161
- Zhu, L., Zhang, F., Mei, Y., & Zhang, M. (2025) "Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043103
- Zhou, Y., Chen, G., Xue, B., Zhang, M., Rooney, J. S., Lagutin, K., . . . Killeen, D. P. (2025) "Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis". In Unknown Book (Vol. 15289 LNCS, pp. 29-43). doi:10.1007/978-981-96-6585-3_3
- Zhou, Y., Chen, G., Xue, B., Zhang, M., Rooney, J. S., Gordon, K. C., & Killeen, D. P. (2025) "Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043119
- Zhao, J., Xue, B., & Zhang, M. (2025) "Anisotropic Spherical Gaussians Lighting Priors for Indoor Environment Map Estimation". IEEE Transactions on Image Processing, 34, 3635-3647. doi:10.1109/TIP.2025.3575902
- Zhang, Y., Zhang, F., Xue, B., & Zhang, M. (2025) "Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11042959
- Zhang, H., Tonda, A., Chen, Q., Xue, B., Lutton, E., & Zhang, M. (2025) "Micro-step Time-Series Regression: Insights from System Identification Using Symbolic Regression". In Unknown Book (Vol. 15609 LNCS, pp. 240-256). doi:10.1007/978-3-031-89991-1_15
- Zhang, H., Chen, Q., Xue, B., Wang, Y., Zhou, A., & Zhang, M. (2025) "EvoFeat: Genetic Programming-Based Feature Engineering Approach to Tabular Data Classification". In Genetic and Evolutionary Computation (pp. 27-49). Springer Nature Singapore. doi:10.1007/978-981-96-0077-9_2
- Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2025) "RAG-SR: RETRIEVAL-AUGMENTED GENERATION FOR NEURAL SYMBOLIC REGRESSION". In 13th International Conference on Learning Representations Iclr 2025 (pp. 60935-60963).
- Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2025) "Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression Through Vicinal Jensen Gap Minimization". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3581739
- Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2025) "A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043089
- Zhang, F., Zhang, Y., Casanovas, P., Schattschneider, J., Walker, S. P., Xue, B., . . . Symonds, J. E. (2025) "Health prediction for king salmon via evolutionary machine learning with genetic programming". Journal of the Royal Society of New Zealand, 55(1), 166-191. doi:10.1080/03036758.2024.2329228
- Zhang, F., Shi, G., Mei, Y., & Zhang, M. (2025) "Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming". IEEE Transactions on Artificial Intelligence, 6(1), 169-183. doi:10.1109/TAI.2024.3456086
- Zeng, D., Liu, I., Bi, Y., Vennell, R., Briscoe, D., Xue, B., & Zhang, M. (2025) "A new multi-object tracking pipeline based on computer vision techniques for mussel farms". Journal of the Royal Society of New Zealand, 55(1), 62-81. doi:10.1080/03036758.2023.2240466
- Yang, Y., Chen, G., Ma, H., Zhang, C., Cao, Z., & Zhang, M. (2025) "GRAPH ASSISTED OFFLINE-ONLINE DEEP REINFORCEMENT LEARNING FOR DYNAMIC WORKFLOW SCHEDULING". In 13th International Conference on Learning Representations Iclr 2025 (pp. 8174-8202).
- Xue, X., Mei, Y., Zhao, B., & Zhang, M. (2025) "Adaptive Similarity Feature Construction for Ontology Matching via Multi-Layer Hybrid Genetic Programming". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3547578
- Xue, B., Manzoni, L., & Bakurov, I. (2025) "Preface". Lecture Notes in Computer Science, 15609 LNCS, v-vi.
- Xu, X., Zhang, F., Mei, Y., Zhang, M., Gong, H., & Ding, X. (2025) "Multi-tree Genetic Programming for Dynamic Tugboat Scheduling". In Unknown Book (Vol. 15613 LNCS, pp. 195-210). doi:10.1007/978-3-031-90065-5_12
- Xu, M., Mei, Y., Zhang, F., Ong, Y. S., & Zhang, M. (2025) "Pareto Set Learning through Genetic Programming for Multi-Objective Dynamic Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3568375
- Wu, Z., Xue, B., & Zhang, M. (2025) "Multitree GP-Based Feature Learning for Multimodal Medical Image Classification". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043090
- Wang, Y., Xie, N., Chen, N., Ma, H., & Chen, G. (2025) "Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem". IEEE Transactions on Evolutionary Computation, 29(2), 346-359. doi:10.1109/TEVC.2025.3532022
- Wang, Y., Jia, Y. H., Chen, W. N., & Mei, Y. (2025) "Soft Parameter Sharing Model for Cross-Problem Generalization in Vehicle Routing Problems". IEEE Transactions on Artificial Intelligence. doi:10.1109/TAI.2025.3576336
- Wang, S., Che, H., Jiang, H., Mei, Y., Liu, Y., & Gu, Y. (2025) "Diverse Counterfactual Explanations by Differential Evolution with Ablation Strategies for Uncertain Capacitated Arc Routing Problem". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043113
- Wang, Q., Bi, Y., Xue, B., & Zhang, M. (2025) "Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification". IEEE Transactions on Evolutionary Computation, 1. doi:10.1109/tevc.2025.3590738
- Wang, C., Chen, Q., Xue, B., & Zhang, M. (2025) "Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043043
- Wang, C., Behrens, E., Ma, H., Chen, G., & Huang, V. (2025) "Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss". In Unknown Book (Vol. 15442 LNAI, pp. 303-315). doi:10.1007/978-981-96-0348-0_22
- Wang, B., Pei, W., Xue, B., & Zhang, M. (2025) "Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3558419
- Ul Ain, Q., Al-Sahaf, H., Xue, B., & Zhang, M. (2025) "Genetic Programming for Malignancy Diagnosis From Breast Cancer Histopathological Images: A Feature Learning Approach". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2024.3523769
- Tripathi, J., Gomes, H., & Botacin, M. (2025) "Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines". In Lecture Notes in Computer Science (pp. 3-24). Springer Nature Switzerland. doi:10.1007/978-3-031-97623-0_1
- Tian, Y., Mei, Y., & Zhang, M. (2025) "Genetic Programming with Activity Group Selection for Dynamic Multi-mode Resource-Constrained Project Scheduling Problems". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11042979
- Tian, Y., Mei, Y., & Zhang, M. (2025) "Generating (Semi-)active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics". In Unknown Book (Vol. 15610 LNCS, pp. 232-248). doi:10.1007/978-3-031-86849-8_15
- Sun, Z., Xue, B., Zhang, M., & Schindler, J. (2025) "YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3543833
- Sun, Z., Xue, B., Zhang, M., & Schindler, J. (2025) "Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 14752-14765. doi:10.1109/JSTARS.2025.3576780
- Sun, Y., Gomes, H. M., Pfahringer, B., & Bifet, A. (2025) "Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis". In Unknown Book (Vol. 15285 LNAI, pp. 91-97). doi:10.1007/978-981-96-0128-8_8
- Shen, Y., Chen, G., Ma, H., & Zhang, M. (2025) "Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning". In Unknown Book (Vol. 15405 LNCS, pp. 3-18). doi:10.1007/978-981-96-0808-9_1
- Rimas, M., Chen, Q., & Zhang, M. (2025) "Importance-Based Pruning for Genetic Programming Based Symbolic Regression". In Unknown Book (Vol. 15443 LNAI, pp. 188-201). doi:10.1007/978-981-96-0351-0_14
- Rezayat, S., Burmester, G., Ma, H., & Hartmann, S. (2025) "Conceptual Framework for Designing Hippocratic APIs". In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 15238 LNCS (pp. 355-376). doi:10.1007/978-3-031-75872-0_19
- Qu, X., Pei, W., Wang, Q., Yang, Y., Xue, B., Zhang, M., & Zhang, Q. (2025) "Evolutionary Hypergraph Learning: A Multi-Objective Influence Maximization Approach Considering Seed Selection Costs". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3577643
- Qiao, Z., Zhang, F., Mei, Y., & Zhang, M. (2025) "Preference-Based Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043041
- Pei, J., Mei, Y., Liu, J., Zhang, M., & Yao, X. (2025) "Adaptive Operator Selection for Meta-Heuristics: A Survey". IEEE Transactions on Artificial Intelligence. doi:10.1109/TAI.2025.3545792
- Molina, D., Poyatos, J., Ser, J. D., Garcia, S., Ishibuchi, H., Triguero, I., . . . Herrera, F. (2025) "Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3530096
- Ming, F., Xue, B., Gong, W., & Zhang, M. (2025) "Solving Multimodal Multi-objective Optimization Problems in Limited Time". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11042965
- McMillan, C., Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2025) "BuoyancyNet: a deep learning approach for assessing float buoyancy in mussel aquaculture". Journal of the Royal Society of New Zealand. doi:10.1080/03036758.2025.2488415
- Liu, Y., Zhang, F., Sun, Y., & Zhang, M. (2025) "Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job-Shop Scheduling". IEEE Transactions on Evolutionary Computation, 29(3), 749-763. doi:10.1109/TEVC.2024.3367181
- Liu, S., Xue, B., Song, M., Bao, H., & Zhang, M. (2025) "Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 2813-2828. doi:10.1109/JSTARS.2024.3508823
- Liu, S., Mei, Y., & Zhang, M. (2025) "Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11042951
- Lin, J., Chen, Q., Xue, B., & Zhang, M. (2025) "Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification". IEEE Transactions on Emerging Topics in Computational Intelligence, 9(1), 1019-1033. doi:10.1109/TETCI.2024.3451709
- Liao, X. C., Mei, Y., & Zhang, M. (2025) "GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3578575
- Liao, X. C., Hu, X. M., Chen, X. L., Mei, Y., Jia, Y. H., & Chen, W. N. (2025) "Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic". IEEE Transactions on Artificial Intelligence, 6(5), 1269-1283. doi:10.1109/TAI.2024.3522861
- Li, N., Xue, B., Ma, L., & Zhang, M. (2025) "Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective Optimization Approach". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3530416
- Li, H., Rotter, V. S., & Xue, B. (2025) "Indicating energy activities and consumption at the village scale in Northern China—the case of Dongqiaotou village in Shandong Province". Environment Development and Sustainability. doi:10.1007/s10668-025-06420-z
- Li, A. D., Xue, B., Zhang, M., Lin, X., & Wang, G. (2025) "Cooperative Coevolutionary Probability-Based Binary Particle Swarm Optimization for High-Dimensional Feature Selection". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043034
- Leong, J., Zhao, J., Xue, B., Gibson, W., & Zhang, M. (2025) "Deep learning-based seabird detection in fisheries for seabird protection". Journal of the Royal Society of New Zealand. doi:10.1080/03036758.2025.2500998
- John, T. C., Ul Ain, Q., Al-Sahaf, H., & Zhang, M. (2025) "Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification". In Unknown Book (Vol. 15612 LNCS, pp. 254-269). doi:10.1007/978-3-031-90062-4_16
- Jiao, B., Gomes, H. M., Xue, B., Guo, Y., & Zhang, M. (2025) "A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift". IEEE Computational Intelligence Magazine, 20(1), 18-33. doi:10.1109/MCI.2024.3486680
- Igual, J., Gomes, H. M., Pfahringer, B., & Bifet, A. (2025) "Linear adaptive filtering for regression in data streams". International Journal of Data Science and Analytics. doi:10.1007/s41060-025-00766-3
- Huang, Z., Mei, Y., Zhang, F., & Zhang, M. (2025) "Toward Evolving Dispatching Rules with Flow Control Operations by Grammar-Guided Linear Genetic Programming". IEEE Transactions on Evolutionary Computation, 29(1), 217-231. doi:10.1109/TEVC.2024.3353207
- Huang, W., Mei, Y., Raidl, G., Zhang, F., Tomandl, L., Limmer, S., . . . Rodemann, T. (2025) "Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11042942
- Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2025) "LightMix: Multi-Objective Search for Lightweight Mixed-Scale Convolutional Neural Networks". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3572041
- Hou, Y., Yu, Z., Guo, Z., Pei, W., Wu, Y., Ge, H., . . . Zhang, M. (2025) "A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design". IEEE Transactions on Systems Man and Cybernetics Systems, 55(5), 3492-3505. doi:10.1109/TSMC.2025.3541002
- Hou, Y., Feng, L., & Mei, Y. (2025) "Guest Editorial: Advancing Computational Intelligence in Autonomous Learning and Optimization Systems [Guest Editorial]". IEEE Computational Intelligence Magazine, 20(2), 17-18. doi:10.1109/MCI.2025.3542536
- Hoai Nguyen, B., Xue, B., Andreae, P., & Zhang, M. (2025) "Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation". IEEE Transactions on Evolutionary Computation, 29(1), 46-60. doi:10.1109/TEVC.2023.3346406
- Hancer, E., Xue, B., & Zhang, M. (2025) "A Survey on Evolutionary Feature Selection in Multi-Label Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3544681
- Hancer, E., Xue, B., & Zhang, M. (2025) "A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets". IEEE Transactions on Emerging Topics in Computational Intelligence, 9(2), 1226-1237. doi:10.1109/TETCI.2025.3529840
- Guo, T., Mei, Y., Zhang, M., Zhao, H., Cai, K., & Du, W. (2025) "Learning-Aided Neighborhood Search for Vehicle Routing Problems". IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(7), 5930-5944. doi:10.1109/TPAMI.2025.3554669
- Guo, T., Mei, Y., Du, W., Lv, Y., Li, Y., & Song, T. (2025) "Emergency Scheduling of Aerial Vehicles via Graph Neural Neighborhood Search". IEEE Transactions on Artificial Intelligence, 6(7), 1808-1822. doi:10.1109/TAI.2025.3528381
- Fu, W., Chen, Q., Xue, B., & Zhang, M. (2025) "Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming". In Lecture Notes in Computer Science Vol. 15612 LNCS (pp. 137-153). doi:10.1007/978-3-031-90062-4_9
- Fang, Z., Ma, H., Chen, G., Hartmann, S., & Wang, C. (2025) "Leveraging LLM in Genetic Programming Hyper-heuristics for Dynamic Microservice Deployment". In Unknown Book (Vol. 15442 LNAI, pp. 86-97). doi:10.1007/978-981-96-0348-0_7
- Fang, Z., Ma, H., Chen, G., Hartmann, S., & Chen, S. (2025) "A Communication-Aware and Energy-Efficient Genetic Programming Based Method for Dynamic Resource Allocation in Clouds". In Unknown Book (Vol. 15613 LNCS, pp. 421-436). doi:10.1007/978-3-031-90065-5_26
- Fan, Q., Zhang, Y., Yao, X., Bi, Y., Xue, B., & Zhang, M. (2025) "ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3569832
- Fan, J., Bi, Y., Xue, B., & Zhang, M. (2025) "Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11043012
- Dong, J., Gao, X., & Mei, Y. (2025) "Advancing Rubric-Based Automated Essay Scoring with Multi-view BERT: A Case Study in New Zealand". In Unknown Book (Vol. 15876 LNCS, pp. 171-182). doi:10.1007/978-981-96-8298-0_14
- Dockter, S., Karunakaran, D., Chen, Q., & Deng, Y. (2025) "Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming". In Lecture Notes in Computer Science Vol. 15612 LNCS (pp. 103-118). doi:10.1007/978-3-031-90062-4_7
- Dai, S. H., Jia, Y. H., Chen, W. N., Mei, Y., & Yang, Q. (2025) "Multistage Particle Swarm Optimization for Heterogeneous Multipoint Dynamic Aggregation". IEEE Transactions on Systems Man and Cybernetics Systems, 55(7), 4614-4628. doi:10.1109/TSMC.2025.3553553
- Cravens, B., Lensen, A., Maddigan, P., & Xue, B. (2025) "Genetic Programming for Explainable Manifold Learning". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3561666
- Chen, R., Mei, Y., Zhang, F., & Zhang, M. (2025) "Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic". In Unknown Book (Vol. 15281 LNAI, pp. 309-321). doi:10.1007/978-981-96-0116-5_25
- Chen, K., Wang, W., Zhang, F., Liang, J., & Yu, K. (2025) "Correlation-guided particle swarm optimization approach for feature selection in fault diagnosis". IEEE Caa Journal of Automatica Sinica. doi:10.1109/JAS.2025.125306
- Botacin, M., & Gomes, H. (2025) "Towards more realistic evaluations: The impact of label delays in malware detection pipelines". Computers and Security, 148. doi:10.1016/j.cose.2024.104122
- Ayaz, B., Gao, X., & Xue, B. (2025) "Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models". In Unknown Book (Vol. 15876 LNCS, pp. 93-105). doi:10.1007/978-981-96-8298-0_8
- Anfar, M. R. M., Chen, Q., & Zhang, M. (2025) "Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression". In 2025 IEEE Congress on Evolutionary Computation CEC 2025. doi:10.1109/CEC65147.2025.11042961