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 Unknown Book (Vol. 16756 LNCS, pp. 347-368). doi:10.1007/978-981-92-2497-5_20
  • Yu, K., An, W., Chen, K., & Zhang, F. (2027) "Multi-objective feature selection in high-dimensional classification: An importance-guided and historical information-assisted approach". Expert Systems with Applications, 332. doi:10.1016/j.eswa.2026.133647
  • Yan, B., Wang, B., Yang, W., Xue, B., & Zhang, M. (2027) "DE-RAG: Differential Evolution Enhanced Offline Optimization for Knowledge Graph-Based Retrieval-Augmented Generation". In Unknown Book (Vol. 16666 LNCS, pp. 369-380). doi:10.1007/978-981-92-3444-8_31
  • Lin, Y., Xue, B., Zhang, M., Schofield, S., & Green, R. (2027) "UE5-Forest: Photorealistic Synthetic Stereo Pairs with Pixel-Exact Disparity for UAV Forestry Depth Estimation". In Unknown Book (Vol. 16754 LNCS, pp. 150-165). doi:10.1007/978-981-92-2487-6_10
  • Lin, Y., Xue, B., Zhang, M., Green, R., & Schofield, S. (2027) "Progressive Per-Branch Depth Optimization with DEFOM-Stereo and SAM3 for UAV Forestry". In Unknown Book (Vol. 16754 LNCS, pp. 166-183). doi:10.1007/978-981-92-2487-6_11
  • Lin, Y., Xue, B., Zhang, M., Green, R., & Schofield, S. (2027) "From Pseudo-Ground-Truth to Edge Deployment: Benchmarking Deep Stereo Matching Networks on Real Radiata Pine Tree Images for UAV Tree Pruning". In Unknown Book (Vol. 16754 LNCS, pp. 184-198). doi:10.1007/978-981-92-2487-6_12
  • Xue, B., Manzoni, L., Pillay, N., & Ekárt, A. (2026) "Introduction for the special issue on highlights of genetic programming 2024 & 2025 events". Genetic Programming and Evolvable Machines, 27(2). doi:10.1007/s10710-026-09539-8
  • Sun, Y., Pfahringer, B., Gomes, H. M., & Bifet, A. (2026) "Adaptive approaches towards fully incremental prediction interval for data stream regression". Knowledge and Information Systems, 68(1). doi:10.1007/s10115-026-02845-8
  • 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
  • Cerqueira, V., Gomes, H. M., Heyden, M., Pfahringer, B., & Bifet, A. (2026) "A Framework for Evaluating and Benchmarking Concept Drift Detection Methods". In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (pp. 8671-8682). ACM. doi:10.1145/3770855.3819070
  • 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
  • Zhai, R., Zhang, X., Mei, Y., Du, W., Guo, T., & Song, T. (2026) "Collaborative Truck-Drone Routing with Multivisit via Surrogate-Assisted Bi-Level Optimization". IEEE Transactions on Artificial Intelligence, 7(8), 4376-4391. doi:10.1109/TAI.2026.3662657
  • 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
  • Maddigan, P., Nguyen, B. H., Siew, P. Y. F., Xue, B., Golledge, N., & Zhang, M. (2026) "Modelling Future Evolution of the Antarctic Ice Sheet With Explainable Machine Learning". Journal of the Royal Society of New Zealand, 56(4). doi:10.1002/snz2.70067
  • Fan, Q., Zhang, Y., Yao, X., Bi, Y., Xue, B., & Zhang, M. (2026) "ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification". IEEE Transactions on Evolutionary Computation, 30(4), 1520-1533. doi:10.1109/TEVC.2025.3569832
  • Wu, Z., Xue, B., & Zhang, M. (2026) "MEFL: A Two-Stage Evolutionary Feature Learning Approach to Skin Cancer Diagnosis from Multimodal Data". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 489-492). ACM. doi:10.1145/3795101.3805426
  • Li, D., Wang, B., Yang, W., Xue, B., & Zhang, M. (2026) "A Genetic Programming Multi-Agent Topology Optimization Method under Stability Constraints". In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 201-204). ACM. doi:10.1145/3795101.3805328
  • Yuan, K., Gao, X., Ma, J., & Zhao, J. (2026) "A Boundary-Aware Multi-Objective Genetic Programming Classifier with Stacking-Based Integration". In Gecco 2026 Proceedings of the 2026 Genetic and Evolutionary Computation Conference (pp. 844-852). doi:10.1145/3795095.3805111
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