Evolutionary Computation and Machine Learning Research Group: Publications
Our publications are organised by year, or you can see the full list
here.
Our 20 most recent publications:
- Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2026) "Activation features empowered: An efficient gradient-free proxy for zero-shot neural architecture search". Pattern Recognition, 179. doi:10.1016/j.patcog.2026.113917
- Jia, X., Guo, T., Mei, Y., Zhang, M., Xiao, F., Gu, X., & Du, W. (2026) "A self-adapting memetic algorithm with reinforcement learning for multi-objective aircraft recovery problems". Applied Soft Computing, 201, 115550. doi:10.1016/j.asoc.2026.115550
- 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
- Huang, Z., Xue, B., Zhang, M., Rooney, J. S., Gordon, K. C., & Killeen, D. P. (2026) "Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method With Tunable Primitives". Journal of the Royal Society of New Zealand, 56(3). doi:10.1002/snz2.70051
- 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
- Acampora, G., Vitiello, A., Wu, R., Xue, B., & Yen, G. (2026) "Guest Editorial: Special Issue on Quantum Computing Meets Computational Intelligence: A New Vision for Smart Systems". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(3), 2180-2183. doi:10.1109/tetci.2026.3691548
- 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
- Shabanov, I., Lensen, A., Tonkin, J., & Deslippe, J. R. (2026) "A machine learning framework for mapping shifts in species' abundance from long‐term monitoring data". Journal of Ecology, 114(5). doi:10.1111/1365-2745.70344
- 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
