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
  • 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 Lecture Notes in Computer Science (pp. 369-380). Springer Nature Singapore. 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 Lecture Notes in Computer Science (pp. 150-165). Springer Nature Singapore. 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 Lecture Notes in Computer Science (pp. 166-183). Springer Nature Singapore. 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 Lecture Notes in Computer Science (pp. 184-198). Springer Nature Singapore. 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
  • 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
  • Chen, X., Mei, Y., & Zhang, M. (2026) "MODE: Manifold Operator Decoding Embeddings for Neural Neighborhood Search for Vehicle Routing Problems". In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 861-869). ACM. doi:10.1145/3795095.3805099
  • 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". __. doi:10.48550/arxiv.2606.07789
  • 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
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