Publications 2025 - Groups/ECRG | Te Kura Mātai Pūkaha, Pūrorohiko / School of Engineering and Computer Science | Te Herenga Waka

Yang, Z., Zuo, X., Huang, H., Chen, G., Zhao, X., & Zhang, T. (2025) "IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization". In Advances in Neural Information Processing Systems.
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
Chen, Z., Blommaert, J., Mei, Y., Jesson, L., Wellenreuther, M., & Zhang, M. (2025) "Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus)". BMC Bioinformatics, 26(1). doi:10.1186/s12859-025-06287-x
Bai, M., Gao, Y., Gao, X., & Ma, J. (2025) "Multi-objective genetic programming for binary classification with adaptive thresholds and a generalization-optimizing fitness function". Applied Soft Computing, 185. doi:10.1016/j.asoc.2025.113956
Sun, Y., Pfahringer, B., Gomes, H. M., & Bifet, A. (2025) "Dynamic Ensemble Member Selection for Data Stream Classification". In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (pp. 2821-2831). ACM. doi:10.1145/3746252.3761072
Neto, R., Alencar, B., Gomes, H. M., Bifet, A., Gama, J., Cassales, G., & Rios, R. (2025) "RMIDDM: an unsupervised and interpretable concept drift detection method for data streams". Data Mining and Knowledge Discovery, 39(6). doi:10.1007/s10618-025-01155-x
Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2025) "Meta-Learning Adaptive Loss Functions". __. doi:10.48550/arxiv.2301.13247
Maddigan, P., Lensen, A., & Shaw, R. C. (2025) "Re-Identifying Kākā with AI-Automated Video Key Frame Extraction". __. doi:10.48550/arxiv.2510.08775
Yang, S., Xu, Z., Zhang, F., Mei, Y., Pan, Q., & Zhang, M. (2025) "Dynamic cooperative scheduling toward distributed and reconfigurable manufacturing via multi-agent deep reinforcement learning". Swarm and Evolutionary Computation, 98. doi:10.1016/j.swevo.2025.102122
Xu, H., Xue, B., & Zhang, M. (2025) "Probe Population-Based Initialization and Genetic Pool-Based Reproduction for Evolutionary Bi-Objective Feature Selection". IEEE Transactions on Evolutionary Computation, 29(5), 1849-1863. doi:10.1109/TEVC.2024.3403655
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
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, 20(5), 5017-5032. doi:10.1007/s41060-025-00766-3
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, P., Xue, B., Liang, J., & Zhang, M. (2025) "Genetic Programming for Automatically Evolving Multiple Features to Classification". Evolutionary Computation, 33(3), 335-362. doi:10.1162/evco_a_00359
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
Shen, Y., Chen, G., Ma, H., & Zhang, M. (2025) "GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy". In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (pp. 8635-8643). International Joint Conferences on Artificial Intelligence Organization. doi:10.24963/ijcai.2025/960
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
Gunasekara, N., Pfahringer, B., Gomes, H. M., & Bifet, A. (2025) "Gradient boosted bagging for evolving data stream regression". Data Mining and Knowledge Discovery, 39(5). doi:10.1007/s10618-025-01147-x
de Silva, A., Chen, G., Ma, H., Nekooei, S. M., & Zuo, X. (2025) "Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion". In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (pp. 7383-7391). International Joint Conferences on Artificial Intelligence Organization. doi:10.24963/ijcai.2025/821
Sun, Y., Lim, N., Cassales, G. W., Gomes, H. M., Pfahringer, B., Bifet, A., & Dwivedi, A. (2025) "Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning". __. doi:10.48550/arxiv.2508.21278
Liao, X. -C., Mei, Y., & Zhang, M. (2025) "GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy". __. doi:10.48550/arxiv.2508.16090
Tonda, A., Zhang, H., Chen, Q., Xue, B., Zhang, M., & Lutton, E. (2025) "When Data Transformations Mislead Symbolic Regression: Deceptive Search Spaces in System Identification". In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 2563-2571). doi:10.1145/3712255.3734301
Tonda, A., Zhang, H., Chen, Q., Xue, B., Zhang, M., & Lutton, E. (2025) "Comparing Data Transformation Techniques for System Identification With Standard Symbolic Regression". In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 655-658). doi:10.1145/3712255.3726673
Niu, J., Gao, X., Bai, M., & Ma, J. (2025) "Adaptive Multi-Tree Genetic Programming for Multiple Feature Construction". In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 651-654). doi:10.1145/3712255.3726595
Li, L., Wang, B., Xue, B., & Zhang, M. (2025) "Particle Swarm Optimization for Automating Prompt Optimization in Large Language Models on Text Classification and Generation Tasks". In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 299-302). doi:10.1145/3712255.3726598
Huang, Z., Xue, B., Zhang, M., Rooney, J. S., Gordon, K. C., & Killeen, D. P. (2025) "Designing New Data Augmentation Functions for Fish Spectral Data by Genetic Programming". In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion (pp. 939-942). doi:10.1145/3712255.3726634
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
Lensen, A., Andersen, H., Newman, M., Bradley, T., Molloy, A., & Kennedy, K. (2025) "AI in Action: Exploring the Impact of Artificial Intelligence on New Zealand's Productivity (Report 3)". AI Forum New Zealand. Retrieved from https://aiforum.org.
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
Wang, F., Zuo, X., Huang, H., & Chen, A. (2025) "TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack". In Proceedings of the 42nd International Conference on Machine Learning. Vancouver, Canada. Retrieved from https://proceedings.mlr.press/v267/wang25fg.
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
Xue, B., & Zhang, M. (2025) "Evolutionary Computation for Feature Selection and Feature Construction". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1408-1437). ACM. doi:10.1145/3712255.3716541
Mei, Y., & Raidl, G. (2025) "Evolutionary Computation meets Machine Learning for Combinatorial Optimisation". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1539-1561). ACM. doi:10.1145/3712255.3716512
Đurasević, M., Gil Gala, F. J., Jakobović, D., & Mei, Y. (2025) "Genetic Programming as a Hyper-Heuristic for Solving Combinatorial Optimisation Problems". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1070-1094). ACM. doi:10.1145/3712255.3716516
Pang, J., Mei, Y., & Zhang, M. (2025) "A Multiform Many-Objective Genetic Programming Method for Dynamic Flexible Job Shop Scheduling". In Gecco 2025 Proceedings of the 2025 Genetic and Evolutionary Computation Conference (pp. 267-276). 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 Gecco 2025 Proceedings of the 2025 Genetic and Evolutionary Computation Conference (pp. 1273-1281). doi:10.1145/3712256.3726354
Huang, J., Xue, B., Sun, Y., & Zhang, M. (2025) "Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search". In Gecco 2025 Proceedings of the 2025 Genetic and Evolutionary Computation Conference (pp. 1246-1254). doi:10.1145/3712256.3726315
Chen, X. L., Mei, Y., & Zhang, M. (2025) "Learning Adaptive Neighborhood Search with Dual Operator Selection for Capacitated Vehicle Routing Problem". In Gecco 2025 Proceedings of the 2025 Genetic and Evolutionary Computation Conference (pp. 1108-1116). 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 Gecco 2025 Proceedings of the 2025 Genetic and Evolutionary Computation Conference (pp. 961-969). 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
Huang, Z., Mei, Y., Zhang, F., Zhang, M., & Banzhaf, W. (2025) "Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP". Retrieved from http://arxiv.org/abs/2505.
Huang, Z., Xue, B., Zhang, M., Ronney, J. S., Gordon, K. C., & Killeen, D. P. (2025) "Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives". __. doi:10.48550/arxiv.2505.21901
de Silva, A., Chen, G., Ma, H., Nekooei, S. M., & Zuo, X. (2025) "Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion". __. doi:10.48550/arxiv.2505.10197
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
Li, H. Q., Xu, Y. T., Xu, Y. P., Ren, W. X., & Xue, B. (2025) "The development path and future trends of resource and environmental metabolism analysis at the village scale". Journal of Natural Resources, 40(5), 1227-1243. doi:10.31497/zrzyxb.20250506
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
Lensen, A., Andersen, H., Newman, M., Griffin, P., Sun, S., Bradley, T., . . . Kennedy, K. (2025) "AI in Action: Exploring the Impact of Artificial Intelligence on New Zealand's Productivity (Report 2)". AI Forum New Zealand. Retrieved from https://aiforum.org.
Lensen, A., Andersen, H., Newman, M., Griffin, P., Sun, S., Bradley, T., . . . Kennedy, K. (2025) "AI in Action: Exploring the Impact of Artificial Intelligence on New Zealand's Productivity". AI Forum New Zealand.
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". In Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence (AAAI). 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
Zhao, J., Xue, B., Vennel, R., & Zhang, M. (2025) "Hierarchical mussel farm reconstruction from video with object tracking". Journal of the Royal Society of New Zealand, 55(6), 1563-1588. doi:10.1080/03036758.2024.2345316
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) "LAS-GP: Harnessing Large Semantic Libraries for Evolutionary Feature Construction in Symbolic Regression". IEEE Transactions on Evolutionary Computation, 1. doi:10.1109/tevc.2025.3632839
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
Yuan, G., Xue, B., Zhang, M., & Hou, Y. (2025) "Explaining Fine-Grained Image Classification Using Evolutionary Search and the Stable Diffusion Model". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3603115
Yuan, G., Xue, B., & Zhang, M. (2025) "Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3602074
Yu, K., Lian, J., Bi, Y., Liang, J., Xue, B., & Zhang, M. (2025) "An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming". IEEE Transactions on Evolutionary Computation, 29(5), 2032-2046. doi:10.1109/TEVC.2024.3459096
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).
Yang, Y., Chen, G., Ma, H., Hartmann, S., & Zhang, M. (2025) "Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing". IEEE Transactions on Evolutionary Computation, 29(5), 1692-1706. doi:10.1109/TEVC.2024.3392968
Xue, Y., Zhang, X., Neri, F., Xue, B., & Zhang, M. (2025) "Graph Neural Network-Based Surrogate Model for Evolutionary Neural Architecture Search". IEEE Transactions on Systems Man and Cybernetics Systems. doi:10.1109/TSMC.2025.3621488
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
Xie, C., Xue, B., Zhang, M., Shi, Q., & Chen, S. (2025) "Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3607400
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
Wu, Z., Xue, B., & Zhang, M. (2025) "Multitree Genetic Programming for Multimodal Learning in Multimodal Medical Image Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2025.3619532
Wang, Y., Zhang, J., Zhang, F., Wang, G. G., & Zhang, M. (2025) "Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling". IEEE Transactions on Emerging Topics in Computational Intelligence. doi:10.1109/TETCI.2025.3623315
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
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