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:

  • 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
  • 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
  • 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
  • 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
  • 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
  • Shen, Y., Chen, G., Ma, H., & Zhang, M. (2025) "Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning". In Unknown Book (Vol. 15405 LNCS, pp. 3-18). doi:10.1007/978-981-96-0808-9_1
  • 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
  • Zeng, D., Bi, Y., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2024) "Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794448
  • Rahman, I. M. H., Hollitt, C., Zhang, M., Rehman, O., Ajmal, A., & Park, S. J. (2024) "Top-Down Target Object Detection Through Context". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794477
  • McMillan, C., Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2024) "Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794479
  • Maddigan, P., Ehrhardt, O., Lensen, A., & Shaw, R. C. (2024) "Re-Identification of Individual Kākā: An Explainable DINO-Based Model". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794473
  • Lin, Y., Xue, B., Zhang, M., Schofield, S., & Green, R. (2024) "Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794464
  • John, T. C., Ain, Q. U. I., Al-Sahaf, H., & Zhang, M. (2024) "Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794460
  • Fan, Q., Bi, Y., Xue, B., Symonds, J., Fletcher, L. M., & Zhang, M. (2024) "Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection". In 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-6). IEEE. doi:10.1109/ivcnz64857.2024.10794201
  • Yu, K., Lian, J., Bi, Y., Liang, J., Xue, B., & Zhang, M. (2024) "A genetic programming approach with adaptive region detection to skin cancer image classification". Journal of Automation and Intelligence, 3(4), 240-249. doi:10.1016/j.jai.2024.08.003
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