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:

  • 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
  • Fan, Q., Bi, Y., Xue, B., & Zhang, M. (2024) "A Multi-Tree Genetic Programming-Based Ensemble Approach to Image Classification With Limited Training Data [Research Frontier]". IEEE Computational Intelligence Magazine, 19(4), 47-62. doi:10.1109/mci.2024.3446148
  • 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 The 27th International Symposium on Research in Attacks, Intrusions and Defenses Vol. 33 (pp. 97-113). ACM. doi:10.1145/3678890.3678893
  • 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. doi:10.1016/j.jai.2024.08.003
  • 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
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 998-1006). ACM. doi:10.1145/3638529.3654075
  • Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2024) "A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]". In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 65-66). doi:10.1145/3638530.3664071
  • Yan, L. F., Ma, H., & Chen, G. (2024) "Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds". In Proceedings of the Genetic and Evolutionary Computation Conference Vol. 34 (pp. 988-997). ACM. doi:10.1145/3638529.3654058
  • Xue, B., & Zhang, M. (2024) "Evolutionary Computation for Feature Selection and Feature Construction". In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 1158-1186). doi:10.1145/3638530.3648411
  • Wei, J., Xue, B., & Zhang, M. (2024) "EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation". In Proceedings of the Genetic and Evolutionary Computation Conference Vol. 34 (pp. 422-430). ACM. doi:10.1145/3638529.3654041
  • Wang, S., Mei, Y., & Zhang, M. (2024) "A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem". In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (pp. 547-550). doi:10.1145/3638530.3654192
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