Evolutionary Computation and Machine Learning Research Group: Publications

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

2027 2026 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:

  • Yu, X., Pei, W., Xue, B., & Zhang, Q. (2027) "Federated Unlearning Model Recovery in Data with Skewed Label Distributions". In Lecture Notes in Computer Science (pp. 347-368). Springer Nature Singapore. doi:10.1007/978-981-92-2497-5_20
  • 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
  • Alencar, B., Cassales, G., Gomes, H. M., Prazeres, C., Rios, T., Bifet, A., & Rios, R. (2026) "Concept drift detection in delayed and partially labeled data streams: An experimental survey". Digital Signal Processing A Review Journal, 182. doi:10.1016/j.dsp.2026.106325
  • 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. doi:10.1016/j.asoc.2026.115550
  • Zhang, T., Bi, Y., Wang, H., Liang, J., Xue, B., & Zhang, M. (2026) "Learning features for data-efficient image classification via improved decomposition-based multi-objective genetic programming". Swarm and Evolutionary Computation, 107. doi:10.1016/j.swevo.2026.102430
  • 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
  • Yuan, K., Gao, X., Ma, J., & Zhao, J. (2026) "A Boundary-Aware Multi-Objective Genetic Programming Classifier with Stacking-Based Integration". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 844-852). ACM. doi:10.1145/3795095.3805111
  • 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
  • Jiao, R., Xue, B., & Zhang, M. (2026) "Simultaneous Feature and Instance Selection via Evolutionary Auxiliary Optimization". IEEE Transactions on Systems Man and Cybernetics Systems, 56(7), 4398-4411. doi:10.1109/TSMC.2026.3677086
  • Cerqueira, V., Gomes, H. M., Heyden, M., Pfahringer, B., & Bifet, A. (2026) "A Framework for Evaluating and Benchmarking Concept Drift Detection Methods". __.
  • 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". IEEE Transactions on Evolutionary Computation, 30(3), 1009-1023. doi:10.1109/TEVC.2025.3581739
  • Zeng, D., Bi, Y., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2026) "A Genetic Programming-Based Method for Multi-Object Detection in Mussel Farm Images". Journal of the Royal Society of New Zealand, 56(3). doi:10.1002/snz2.70060
  • Yuan, G., Xue, B., & Zhang, M. (2026) "Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(3), 2276-2290. doi:10.1109/TETCI.2025.3602074
  • Xu, M., Mei, Y., Zhang, F., Soon Ong, Y., & Zhang, M. (2026) "Pareto Set Learning Through Genetic Programming for Multiobjective Dynamic Scheduling". IEEE Transactions on Evolutionary Computation, 30(3), 942-956. doi:10.1109/TEVC.2025.3568375
  • Xie, C., Xue, B., Zhang, M., Shi, Q., & Chen, S. (2026) "Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems". IEEE Transactions on Emerging Topics in Computational Intelligence, 10(3), 2670-2681. doi:10.1109/TETCI.2025.3607400
  • Molina, D., Poyatos, J., Ser, J. D., Garcia, S., Ishibuchi, H., Triguero, I., . . . Herrera, F. (2026) "Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects". IEEE Transactions on Evolutionary Computation, 30(3), 925-941. doi:10.1109/TEVC.2025.3530096
  • 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
  • Chin, J. T., Guo, X., Lin, H., & Mei, Y. (2026) "Technical indicators and the cross-section of corporate bond returns in a machine learning era". Journal of Financial Markets, 79. doi:10.1016/j.finmar.2025.101029
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