• Xu, M., Mei, Y., Zhang, F., Ong, Y. S., & Zhang, M. (2026) "Genetic programming with advanced diverse partner selection for dynamic scheduling". Expert Systems with Applications, 322. doi:10.1016/j.eswa.2026.132158
  • Fang, Z., Ma, H., Chen, G., & Chen, S. (2026) "STAR: Spatial-temporal autoscaling for cloud applications with deep reinforcement learning". Expert Systems with Applications, 319. doi:10.1016/j.eswa.2026.132105
  • Hancer, E., Chaput, R., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2026) "Spatiotemporal Forecasting of Mediterranean Blue Mussel Biofouling Settlement to Inform Aquaculture Management". New Zealand Journal of Marine and Freshwater Research, 60(2). doi:10.1002/nzm2.70035
  • Dong, L., Bi, Y., Xue, B., & Zhang, M. (2026) "An enhanced genetic programming algorithm with new genetic operators for medical image classification". Genetic Programming and Evolvable Machines, 27(1). doi:10.1007/s10710-026-09533-0
  • Zhai, R., Zhang, X., Mei, Y., Guo, T., & Du, W. (2026) "Co-evolution with hierarchical decomposition for Vehicle Routing Problem with Drones". Swarm and Evolutionary Computation, 105. doi:10.1016/j.swevo.2026.102402
  • Pei, W., Dai, R., Xue, B., Zhang, M., Zhang, Q., Cheung, Y. M., & Xia, S. (2026) "EvoSampling: A Granular Ball-Based Evolutionary Hybrid Sampling With Knowledge Transfer for Imbalanced Learning [Research Frontier]". IEEE Computational Intelligence Magazine, 21(2), 55-67. doi:10.1109/MCI.2026.3657694
  • Meng, W., Li, Y., Zhang, F., Gao, X., & Ma, J. (2026) "Developing distance-based genetic programming classifiers by reconstructing datasets for imbalanced binary classification". Pattern Recognition, 173. doi:10.1016/j.patcog.2025.112825
  • Chen, K., Zhou, F., Zhang, F., Yu, K., & Yang, D. (2026) "A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement". Expert Systems with Applications, 306. doi:10.1016/j.eswa.2025.130747
  • Gomes, H. M., Lee, A., Gunasekara, N., Sun, Y., Cassales, G. W., Liu, J., . . . Bifet, A. (2026) "CapyMOA: Efficient Machine Learning for Data Streams and Online Continual Learning in Python". __. doi:10.48550/arxiv.2502.07432
  • Li, Y., Wang, H., Xue, B., Zhang, M., & Jin, Y. (2026) "Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design". __. doi:10.48550/arxiv.2512.18682
  • Lensen, A., Plaut, E., Daubs, M. S., & Hill, S. (2026) "Could NZ’s next Christchurch Call be a push for fairer, safer AI?". The Conversation. doi:10.64628/AA.hynmvc6jx
  • Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2026) "Neural Radiance Field-Based 3D Reconstruction and View Synthesis for Mussel Farm Environments". Journal of the Royal Society of New Zealand, 56(2). doi:10.1002/snz2.70044
  • Wang, Y., Zhang, J., Zhang, F., Wang, G. G., & Zhang, M. (2026) "Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 2150-2165. doi:10.1109/TETCI.2025.3623315
  • Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2026) "LightMix: Multi-Objective Search for Lightweight Mixed-Scale Convolutional Neural Networks". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 1654-1668. doi:10.1109/TETCI.2025.3572041
  • Geng, S., Mei, Y., Zhang, F., Wang, L., Wu, Q., & Zhang, M. (2026) "A Novel Multi-Objective Memetic Algorithm for Multi-Task Fuzzy Flexible Job Shop Scheduling". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 1765-1778. doi:10.1109/TETCI.2025.3603106
  • Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2026) "Genetic Programming for Malignancy Diagnosis From Breast Cancer Histopathological Images: A Feature Learning Approach". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2), 1123-1136. doi:10.1109/TETCI.2024.3523769
  • Mayuravaani, M., Kleijn, W. B., Lensen, A., & Sørensen, C. (2026) "Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids". __. doi:10.48550/arxiv.2603.02724
  • Lensen, A., & Geddis, A. (2026) "AI is already creeping into election campaigns". NZ’s rules aren’t ready. The Conversation. doi:10.64628/AA.5mv4saa54
  • Zhang, F., Ardeh, M. A., Mei, Y., & Zhang, M. (2026) "Genetic Programming with Tabu List for Dynamic Flexible Job Shop Scheduling". Evolutionary Computation, 34(1), 137-165. doi:10.1162/EVCO.a.26
  • Saputhanthrige Don, N. L., Rogers, M., Zhao, J., Xue, B., & Zhang, M. (2026) "Making Animal Re-Identification Accessible: A Web-Based Giraffe ID System for Zoos". Information Switzerland, 17(3). doi:10.3390/info17030266
  • Lin, J., Chen, Q., Xue, B., Rooney, J. S., Zhang, M., Lagutin, K., . . . Killeen, D. P. (2026) "Evolutionary multitasking for multi-objective feature selection in fish chemical analysis". Applied Soft Computing, 189. doi:10.1016/j.asoc.2025.114511
  • Li, H., Rotter, V. S., & Xue, B. (2026) "Nutrient Balance and Straw Recycling Efficiency in Paddy Fields of Southern China". International Journal of Plant Production, 20(1). doi:10.1007/s42106-026-00411-4
  • Hancer, E., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2026) "Forecasting Green-Lipped Mussel Settlement via Feature Engineering and Random Forest Regressor". New Zealand Journal of Marine and Freshwater Research, 60(1). doi:10.1002/nzm2.70012
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2026) "Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization". __. doi:10.48550/arxiv.2602.01510
  • Zhang, M. (2026) "2026 IEEE CIS Awards [Society Briefs]". IEEE Computational Intelligence Magazine, 21(1), 6-9. doi:10.1109/mci.2025.3635835
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2026) "Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling". IEEE Transactions on Evolutionary Computation, 30(1), 61-75. doi:10.1109/TEVC.2024.3395699
  • Sun, F., Chen, G., Ma, H., & Hartmann, S. (2026) "Multi-objective IoT service composition with replication using memetic NSGA-II with bottleneck-driven local search". Future Generation Computer Systems, 175. doi:10.1016/j.future.2025.108039
  • Shi, H., Zuo, X., Chen, G., Zhao, X., & Yang, S. (2026) "A memetic-branch-and-price algorithm with conflict-minimizing selection strategy for bus scheduling problem". Applied Soft Computing, 188. doi:10.1016/j.asoc.2025.114420
  • Shabanov, I., Deslippe, J. R., & Lensen, A. (2026) "SALMA: A machine learning tool for precise leaf morphology measurements". Ecological Informatics, 93. doi:10.1016/j.ecoinf.2025.103592
  • Saeed, A., Chen, G., Ma, H., & Fu, Q. (2026) "A genetic algorithm with selective repair method under combined-criteria for deadline-constrained IoT workflow scheduling in Fog–Cloud computing". Future Generation Computer Systems, 175. doi:10.1016/j.future.2025.108050
  • Jiao, R., Xue, B., & Zhang, M. (2026) "Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification". IEEE Transactions on Evolutionary Computation, 30(1), 31-45. doi:10.1109/TEVC.2024.3373802
  • Hancer, E., Xue, B., & Zhang, M. (2026) "A Survey on Evolutionary Feature Selection in Multilabel Classification". IEEE Transactions on Evolutionary Computation, 30(1), 121-140. doi:10.1109/TEVC.2025.3544681
  • Chen, Y., Zhao, P., & Chen, Q. (2026) "Forecasting the commuting generation using metropolis-informed GCN and the topological commuter portrait". Transportation, 53(1), 483-510. doi:10.1007/s11116-024-10504-6
  • Ai, G., Zuo, X., Chen, G., Zhou, M., Wu, B., & Zhao, X. (2026) "XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization". Expert Systems with Applications, 297. doi:10.1016/j.eswa.2025.129271
  • Tian, Y., Mei, Y., & Zhang, M. (2026) "Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling". __. doi:10.48550/arxiv.2601.14485
  • Mudgway, C., & Lensen, A. (2026) "Sexualised deepfakes on X are a sign of things to come". NZ law is already way behind. The Conversation. doi:10.64628/AA.7y9mcyxx6
  • Pei, W., Dai, R., Xue, B., Zhang, M., Zhang, Q., & Cheung, Y. -M. (2026) "Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification". __. doi:10.48550/arxiv.2601.01150
  • Zhu, L., Zhang, F., Mei, Y., Zhang, M., & Bai, R. (2026) "Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals". In Unknown Book (Vol. 16454 LNAI, pp. 696-704). doi:10.1007/978-981-95-7081-2_49
  • Zhang, Y., Mei, Y., Jia, Y. H., Qiao, D., Zhang, H., & Jiang, J. (2026) "An effective Memetic Algorithm for Multi-depot Weighted Vehicle Routing Problem". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3654851
  • Zhang, Y., Jiao, R., Xue, B., & Zhang, M. (2026) "Evolutionary Streaming Feature Selection via Incremental Feature Clustering". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3667279
  • Zhang, Q., Yue, Y., Zhang, D., Zhao, K., Wang, A., Xue, B., . . . Zong, F. (2026) "An End-to-End Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-site and Multi-modal MRI Data". In Unknown Book (Vol. 16452 LNCS, pp. 570-584). doi:10.1007/978-981-95-7072-0_38
  • Zhang, H., Wang, Y., Jia, Y. H., & Mei, Y. (2026) "Genetic Programming with Model Driven Dimension Repair for Learning Interpretable Appointment Rules". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3660890
  • Zhai, S., Jiao, R., Xue, B., Nojima, Y., & Zhang, M. (2026) "MILE: Multi-Expert Ensemble with Instance Selection for Multi-Class Imbalanced Learning". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3682346
  • Zhai, R., Zhang, X., Mei, Y., Du, W., Guo, T., & Song, T. (2026) "Collaborative Truck-Drone Routing with Multi-visit via Surrogate-Assisted Bi-level Optimization". IEEE Transactions on Artificial Intelligence. doi:10.1109/TAI.2026.3662657
  • Zhai, R., Chen, Z., Hu, Z., Cui, Y., Mei, Y., Du, W., . . . Li, Y. (2026) "Collaborative Truck-Drone Routing with Pickup and Delivery Networks: a Memetic Optimization Approach". IEEE Transactions on Mobile Computing. doi:10.1109/TMC.2026.3684905
  • Yu, K., Wang, M., Bi, Y., Liang, J., Xue, B., & Zhang, M. (2026) "A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators". In Unknown Book (Vol. 16452 LNCS, pp. 116-131). doi:10.1007/978-981-95-7072-0_8
  • Xue, X., Mei, Y., Zhao, B., & Zhang, M. (2026) "Adaptive Similarity Feature Construction for Ontology Matching via Multilayer Hybrid Genetic Programming". IEEE Transactions on Evolutionary Computation, 30(2), 519-533. doi:10.1109/TEVC.2025.3547578
  • Xie, H., Liu, I., Xue, B., & Zhang, M. (2026) "Partial Multi-label Feature Selection Based on Matrix Elastic-Net". In Unknown Book (Vol. 16451 LNAI, pp. 104-120). doi:10.1007/978-981-95-7075-1_7
  • Wei, J., Xue, B., & Zhang, M. (2026) "Multi-Objective Once-for-All Neural Architecture Search for Medical Image Segmentation". IEEE Transactions on Image Processing, 35, 2981-2996. doi:10.1109/TIP.2026.3671022
  • Wang, Y., Jia, Y. H., Chen, W. N., & Mei, Y. (2026) "Soft Parameter Sharing Model for Cross-Problem Generalization in Vehicle Routing Problems". IEEE Transactions on Artificial Intelligence, 7(1), 471-485. doi:10.1109/TAI.2025.3576336
  • Wang, Q., Bi, Y., Xue, B., & Zhang, M. (2026) "CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3675672
  • Tian, Y., Mei, Y., & Zhang, M. (2026) "Scalable Knee-Point Guided Activity Group Selection in Multi-tree Genetic Programming for Dynamic Multi-Mode Project Scheduling". In Unknown Book (Vol. 16454 LNAI, pp. 576-592). doi:10.1007/978-981-95-7081-2_40
  • Sun, Z., Zhang, F., Mei, Y., Huang, H., Gu, C., Wang, B., & Zhang, M. (2026) "Cooperative Coevolution Genetic Programming for Dynamic Joint Workflow Scheduling and Container Scaling in Cloud-Fog Computing". IEEE Transactions on Services Computing, 19(1), 225-239. doi:10.1109/TSC.2025.3636121
  • Sun, Z., Xue, B., Zhang, M., & Schindler, J. (2026) "YOLO-ITC: A New YOLO Method for Instance Segmentation of Individual Tree Crowns". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), 51-65. doi:10.1109/TETCI.2025.3543833
  • Sun, Y., Gomes, H. M., Lee, A., Gunasekara, N., Weigert Cassales, G., Liu, J. J., . . . Bifet, A. (2026) "Machine Learning for Data Streams with CapyMOA". In Unknown Book (Vol. 16022, pp. 438-443). doi:10.1007/978-3-032-06129-4_27
  • Sun, F., Chen, G., Ma, H., Hartmann, S., & Wang, C. (2026) "CARGO-IoT: Cost-Aware Repair-Based Genetic Optimization for Budget-Constrained IoT Service Composition". In Unknown Book (Vol. 16454 LNAI, pp. 713-721). doi:10.1007/978-981-95-7081-2_51
  • Song, Z., Xue, B., Zhang, M., Rooney, J., Gordon, K., & Killeen, D. (2026) "From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation". In Unknown Book (Vol. 16452 LNCS, pp. 585-599). doi:10.1007/978-981-95-7072-0_39
  • Pei, W., Wan, F., Han, W., Xue, B., Cheung, Y. M., & Zhang, Q. (2026) "Evolutionary Hypergraph-assisted Hybrid Sampling for Imbalanced Data Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3679702
  • Pei, W., Dai, R., Xue, B., Zhang, M., Zhang, Q., & Cheung, Y. M. (2026) "Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3671301
  • Nguyen, B. H., Nguyen, B. P., Truong, H. V., & Le, V. T. (2026) "Differential Evolutionary for Label Ordering in Multi-label Classification". In Unknown Book (Vol. 16200 LNCS, pp. 84-99). doi:10.1007/978-981-95-3462-3_7
  • Mei, Y., Qian, C., Bai, Q., Xue, B., & Khanna, S. (2026) "Preface". Lecture Notes in Computer Science, 16451 LNAI.
  • Mei, Y., Qian, C., Bai, Q., Xue, B., & Khanna, S. (2026) "Preface". Lecture Notes in Computer Science, 16452 LNCS.
  • Mei, Y., Qian, C., Bai, Q., Xue, B., & Khanna, S. (2026) "Preface". Lecture Notes in Computer Science, 16454 LNAI, v-vi.
  • McMillan, C., Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2026) "Local Context-Aware Buoyancy Prediction for Mussel Farm Floats". In Unknown Book (Vol. 16452 LNCS, pp. 459-474). doi:10.1007/978-981-95-7072-0_31
  • Liao, X. C., Mei, Y., & Zhang, M. (2026) "ComGPL: Genetic Programming for Learning Traffic Signal Control Policies with Intersection Communications". IEEE Transactions on Mobile Computing. doi:10.1109/TMC.2026.3689536
  • Li, N., Xue, B., Ma, L., & Zhang, M. (2026) "Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective Optimization Approach". IEEE Transactions on Evolutionary Computation, 30(2), 479-490. doi:10.1109/TEVC.2025.3530416
  • Li, N., Xue, B., Chen, Q., Ma, L., Huang, M., Wang, X., & Zhang, M. (2026) "Evolutionary Zero-Shot Proxy in Various Evaluation Scenarios: A Symbolic Learning Perspective". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3680503
  • Jiao, R., Xue, B., & Zhang, M. (2026) "Simultaneous Feature and Instance Selection via Evolutionary Auxiliary Optimization". IEEE Transactions on Systems Man and Cybernetics Systems. doi:10.1109/TSMC.2026.3677086
  • Huang, J., Chaput, R., Xue, B., Liu, I., Vennell, R., & Zhang, M. (2026) "Automated Design of Neural Networks for River Flow Prediction Using Weather Data". In Unknown Book (Vol. 16452 LNCS, pp. 346-362). doi:10.1007/978-981-95-7072-0_24
  • Gupta, S., Rezayat, S., Burmester, G., Durak, U., Ma, H., & Hartmann, S. (2026) "From ConOps to an Operational Domain Model: Harnessing LLMs for Conceptual Model Design". In Unknown Book (Vol. 16190 LNCS, pp. 137-156). doi:10.1007/978-3-032-08620-4_9
  • Gu, H., Wang, H., Mei, Y., Zhang, M., & Jin, Y. (2026) "ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data". In Proceedings of the Aaai Conference on Artificial Intelligence Vol. 40 (pp. 17454-17462). doi:10.1609/aaai.v40i21.38799
  • Gu, H., Wang, H., Mei, Y., Zhang, M., & Jin, Y. (2026) "One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models". __. doi:10.48550/arxiv.2505.07167
  • Gonzalez, S., Lensen, A., & Lavretsky, P. (2026) "Interpretable Wildlife Classification by Coupling Genetics, Scoring Systems, and Computer Vision". __. doi:10.2139/ssrn.6253711
  • Gomes, H. M., Read, J., Grzenda, M., Pfahringer, B., & Bifet, A. (2026) "SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams". IEEE Transactions on Knowledge and Data Engineering, 38(3), 1973-1985. doi:10.1109/TKDE.2025.3647050
  • Fang, Z., Ma, H., Chen, G., & Buyya, R. (2026) "HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-Based Cloud Computing". IEEE Transactions on Services Computing, 19(1), 410-422. doi:10.1109/TSC.2026.3651267
  • Doherty, W., Lee, A., & Gomes, H. M. (2026) "CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning". In Unknown Book (Vol. 2292 CCIS, pp. 348-362). doi:10.1007/978-981-96-6688-1_24
  • Demir, K., Nguyen, B. H., Xue, B., & Zhang, M. (2026) "A Consistent Lebesgue Measure for Multi-label Learning". In Unknown Book (Vol. 16452 LNCS, pp. 3-18). doi:10.1007/978-981-95-7072-0_1
  • de Silva, A., Chen, G., Ma, H., & Nekooei, S. M. (2026) "EIGA: A Novel Genetic Algorithm Based on Edge Information for Community Detection in Weighted Social Networks". IEEE Transactions on Knowledge and Data Engineering, 38(1), 276-289. doi:10.1109/TKDE.2025.3619494
  • Cravens, B., Lensen, A., Maddigan, P., & Xue, B. (2026) "Genetic Programming for Explainable Manifold Learning". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), 676-688. doi:10.1109/TETCI.2025.3561666
  • Chen, Z., Fan, Q., Jiao, R., Xue, B., Huang, H., Dai, Y., & Zhang, M. (2026) "Multi-Expert Genetic Programming based Ensemble for Long-Tailed Image Classification". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2026.3669207
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2026) "Genetic Programming-Based Feature Selection for Symbolic Regression on Incomplete Data". Evolutionary Computation. doi:10.1162/evco_a_00362
  • Ai, G., Zhang, H., Chen, G., Ma, H., & Zuo, X. (2026) "ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling". In Unknown Book (Vol. 16454 LNAI, pp. 593-609). doi:10.1007/978-981-95-7081-2_41