Evolutionary Computation and Machine Learning Research Group: Publications

Our publications are organised by year, or you can see the full list here.

2025 2024 2023 2022 2021 2020
2019 2018 2017 2016 2015 2014
2013 2012 2011 2010 2009 2008
2007 2006 2005 2004 2003 2002
2001 2000 Older

Our 20 most recent publications:

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Santolin, J., Larsen, O. C., Fritze, A., Xue, B., Yang, Z., & Rotter, V. S. (2024) "Reaching China’s fertilizer reduction goals through nitrogen and phosphorus recovery: a substance flow analysis case study". Journal of Material Cycles and Waste Management, 26(6), 3650-3664. doi:10.1007/s10163-024-02067-6
  • Wan, X., Zuo, X., Lu, T., & Chen, G. (2024) "A hybrid niching memetic algorithm for multi-modal optimization of double row layout problem". International Journal of Production Research.
  • Yu, W., Yang, J., Sun, D., Ren, J., Xue, B., Sun, W., . . . Li, X. (2024) "How urban heat island magnifies hot day exposure: Global unevenness derived from differences in built landscape". Science of the Total Environment, 945. doi:10.1016/j.scitotenv.2024.174043
  • Botacin, M., & Gomes, H. (2024) "Cross-Regional Malware Detection via Model Distilling and Federated Learning". In ACM International Conference Proceeding Series (pp. 97-113). doi:10.1145/3678890.3678893
  • Yang, Y., Chen, G., Ma, H., Hartmann, S., & Zhang, M. (2024) "Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling". Information Sciences, 678. doi:10.1016/j.ins.2024.120975
  • Qu, H., Wang, G. G., Li, Y., Qi, X., & Zhang, M. (2024) "ConvFishNet: An efficient backbone for fish classification from composited underwater images". Information Sciences, 679. doi:10.1016/j.ins.2024.121078
  • Peng, Y., Chen, G., Zhang, M., & Xue, B. (2024) "Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization". Memetic Computing, 16(3), 445-466. doi:10.1007/s12293-024-00419-1
  • Sun, Y., Gomes, H. M., Pfahringer, B., & Bifet, A. (2024) "Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis". __. doi:10.48550/arxiv.2408.16187
  • Gomes, H. M., & Bifet, A. (2024) "Practical Machine Learning for Streaming Data". In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 6418-6419). doi:10.1145/3637528.3671442
  • Zhao, J., Xue, B., & Zhang, M. (2024) "SGformer: Boosting transformers for indoor lighting estimation from a single image". Computational Visual Media, 10(4), 671-686. doi:10.1007/s41095-024-0447-8
  • Pham, D., Tran, B., Nguyen, S., Alahakoon, D., & Zhang, M. (2024) "Fairness optimisation with multi-objective swarms for explainable classifiers on data streams". Complex and Intelligent Systems, 10(4), 4741-4754. doi:10.1007/s40747-024-01347-w
  • Zhang, T., Bi, Y., Liang, J., Xue, B., & Zhang, M. (2024) "Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification". In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 555-558). doi:10.1145/3638530.3654306
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