• Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "A geometric semantic macro-crossover operator for evolutionary feature construction in regression". Genetic Programming and Evolvable Machines, 25(1). doi:10.1007/s10710-023-09465-z
  • Huang, Z., Mei, Y., Zhang, F., Zhang, M., & Banzhaf, W. (2024) "Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling". Genetic Programming and Evolvable Machines, 25(1). doi:10.1007/s10710-023-09478-8
  • Maddigan, P., Lensen, A., & Xue, B. (2024) "Explaining Genetic Programming Trees using Large Language Models". __. doi:10.48550/arXiv.2403.03397
  • Xie, X., Sun, Y., Liu, Y., Zhang, M., & Tan, K. C. (2024) "Architecture Augmentation for Performance Predictor via Graph Isomorphism". IEEE Transactions on Cybernetics, 54(3), 1828-1840. doi:10.1109/TCYB.2023.3267109
  • Zheng, Y., Zhang, F., Gao, X., & Ma, J. (2024) "Bagging-based ensemble classifiers using multi-objective Genetic Programming". __. doi:10.21203/rs.3.rs-3948541/v1
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2024) "Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 28(1), 147-167. doi:10.1109/TEVC.2023.3255246
  • Wu, B., Zuo, X., Chen, G., Ai, G., & Wan, X. (2024) "Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes". Computers and Industrial Engineering, 188. doi:10.1016/j.cie.2023.109840
  • Nguyen, B. H., Xue, B., & Zhang, M. (2024) "A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection". IEEE Transactions on Evolutionary Computation, 28(1), 2-16. doi:10.1109/TEVC.2022.3197427
  • Huang, Z., Mei, Y., & Zhong, J. (2024) "Semantic Linear Genetic Programming for Symbolic Regression". IEEE Transactions on Cybernetics, 54(2), 1321-1334. doi:10.1109/TCYB.2022.3181461
  • Fu, W., Xue, B., Gao, X., & Zhang, M. (2024) "Genetic Programming for Document Classification: A Transductive Transfer Learning System". IEEE Transactions on Cybernetics, 54(2), 1119-1132. doi:10.1109/TCYB.2023.3338266
  • Eisenbarth, H., Oxner, M., Shehu, H. A., Gastrell, T., Walsh, A., Browne, W. N., & Xue, B. (2024) "Emotional arousal pattern (EMAP): A new database for modeling momentary subjective and psychophysiological responding to affective stimuli". Psychophysiology, 61(2). doi:10.1111/psyp.14446
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2024) "Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection". IEEE Computational Intelligence Magazine, 19(1), 36-50. doi:10.1109/MCI.2023.3327841
  • Fan, Q., Bi, Y., Xue, B., & Zhang, M. (2024) "A genetic programming-based method for image classification with small training data". Knowledge-Based Systems, 283. doi:10.1016/j.knosys.2023.111188
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction". In Unknown Book (Vol. 14326 LNAI, pp. 385-397). doi:10.1007/978-981-99-7022-3_36
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2024) "A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling". In Unknown Book (Vol. 14472 LNAI, pp. 403-415). doi:10.1007/978-981-99-8391-9_32
  • Wang, Q., Bi, Y., Xue, B., & Zhang, M. (2024) "Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification". IEEE Transactions on Evolutionary Computation, 1. doi:10.1109/tevc.2024.3379257
  • Wang, C., Chen, Q., Xue, B., & Zhang, M. (2024) "Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression". In Unknown Book (Vol. 1943 CCIS, pp. 163-176). doi:10.1007/978-981-99-8696-5_12
  • Rimas, M., Chen, Q., & Zhang, M. (2024) "Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming". In Unknown Book (Vol. 14472 LNAI, pp. 429-440). doi:10.1007/978-981-99-8391-9_34
  • Palli, A. S., JafreezalJaafar., Gilal, A. R., Alsughayyir, A., Gomes, H. M., Alshanqiti, A., & Omar, M. (2024) "Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review". Journal of Information and Communication Technology, 23(1), 105-139. doi:10.32890/jict2024.23.1.5
  • Nguyen, B., Xue, B., Browne, W., & Zhang, M. (2024) "Evolutionary Classification". In Handbook of Evolutionary Machine Learning (pp. 171-204). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_7
  • Lv, Z., Song, X., Feng, Y., Ou, Y., Sun, Y., & Zhang, M. (2024) "Evolutionary Neural Network Architecture Search". In Handbook of Evolutionary Machine Learning (pp. 247-281). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_9
  • Londt, T., Gao, X., Andreae, P., & Mei, Y. (2024) "XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks". In Unknown Book (Vol. 14472 LNAI, pp. 416-428). doi:10.1007/978-981-99-8391-9_33
  • Liu, Z., Wang, R., Japkowicz, N., Gomes, H. M., Peng, B., & Zhang, W. (2024) "SeGDroid: An Android malware detection method based on sensitive function call graph learning[Formula presented]". Expert Systems with Applications, 235. doi:10.1016/j.eswa.2023.121125
  • Liu, Y., Zhang, F., Sun, Y., & Zhang, M. (2024) "Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2024.3367181
  • Liu, S., Song, M., Xue, B., Chang, C. I., & Zhang, M. (2024) "Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing". IEEE Transactions on Geoscience and Remote Sensing, 62, 1-20. doi:10.1109/TGRS.2023.3345941
  • Jiao, R., Xue, B., & Zhang, M. (2024) "Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification". IEEE Transactions on Evolutionary Computation, 1. doi:10.1109/tevc.2024.3373802
  • Huang, Z., Mei, Y., Zhang, F., & Zhang, M. (2024) "Toward Evolving Dispatching Rules With Flow Control Operations By Grammar-Guided Linear Genetic Programming". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2024.3353207
  • Huang, V., Wang, C., Datta, S., Chen, B., Chen, G., & Ma, H. (2024) "Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization". In Unknown Book (Vol. 14472 LNAI, pp. 387-399). doi:10.1007/978-981-99-8391-9_31
  • Fang, Z., Ma, H., Chen, G., & Hartmann, S. (2024) "A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines". In Unknown Book (Vol. 14472 LNAI, pp. 453-465). doi:10.1007/978-981-99-8391-9_36
  • de Silva, A., Chen, G., Ma, H., & Nekooei, S. M. (2024) "Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks". In Unknown Book (Vol. 14326 LNAI, pp. 423-435). doi:10.1007/978-981-99-7022-3_39
  • Chen, Q., Xue, B., Browne, W., & Zhang, M. (2024) "Evolutionary Regression and Modelling". In Handbook of Evolutionary Machine Learning (pp. 121-149). Springer Nature Singapore. doi:10.1007/978-981-99-3814-8_5
  • Al-Sahaf, H., Mesejo, P., Bi, Y., & Zhang, M. (2024) "Evolutionary deep learning for computer vision and image processing". Applied Soft Computing, 151. doi:10.1016/j.asoc.2023.111159
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2024) "Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression". IEEE Transactions on Emerging Topics in Computational Intelligence, 1-14. doi:10.1109/tetci.2024.3369407
  • Ain, Q. U., Xue, B., Al-Sahaf, H., & Zhang, M. (2024) "Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming". In Unknown Book (Vol. 1943 CCIS, pp. 254-269). doi:10.1007/978-981-99-8696-5_18