School of Engineering and Computer Science Te Kura Mātai Pūkaha, Pūrorohiko

  • Li, A. D., Xue, B., & Zhang, M. (2023) "Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes". Information Sciences, 641. doi:10.1016/j.ins.2023.119062
  • Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Feature clustering-Assisted feature selection with differential evolution". Pattern Recognition, 140. doi:10.1016/j.patcog.2023.109523
  • Sadeghiram, S., Ma, H., & Chen, G. (2023) "Multi-objective distributed Web service composition—A link-dominance driven evolutionary approach". Future Generation Computer Systems, 143, 163-178. doi:10.1016/j.future.2023.01.001
  • John, T. C., Abbasi, M. S., Al-Sahaf, H., Welch, I., & Jang-Jaccard, J. (2023) "Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution". Computers and Security, 129. doi:10.1016/j.cose.2023.103215
  • Xiao, Q., Niu, B., Xue, B., & Hu, L. (2023) "Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning". IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(5), 2802-2814. doi:10.1109/TSMC.2022.3219407
  • Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution". Information Sciences, 626, 586-606. doi:10.1016/j.ins.2022.12.117
  • Jia, Y. H., Mei, Y., & Zhang, M. (2023) "Learning Heuristics with Different Representations for Stochastic Routing". IEEE Transactions on Cybernetics, 53(5), 3205-3219. doi:10.1109/TCYB.2022.3169210
  • Bi, Y., Xue, B., & Zhang, M. (2023) "Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification". IEEE Transactions on Cybernetics, 53(5), 3007-3020. doi:10.1109/TCYB.2022.3174519
  • Ain, Q. U., Al-Sahaf, H., Xue, B., & Zhang, M. (2023) "Automatically Diagnosing Skin Cancers from Multimodality Images Using Two-Stage Genetic Programming". IEEE Transactions on Cybernetics, 53(5), 2727-2740. doi:10.1109/TCYB.2022.3182474
  • Barddal, J. P., Gomes, H. M., & Enembreck, F. (2023) "Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory". __. doi:10.48550/arxiv.2304.09788
  • Zeng, P., Song, X., Lensen, A., Ou, Y., Sun, Y., Zhang, M., & Lv, J. (2023) "Differentiable Genetic Programming for High-dimensional Symbolic Regression". __. doi:10.48550/arXiv.2304.08915
  • Lensen, A. (2023) "Genetic Programming, Explainability, and Interdisciplinary AI (Invited Talk)". Centrum Wiskunde & Informatica (CWI).
  • Schofield, F., Slyfield, L., & Lensen, A. (2023) "A Genetic Programming Encoder for Increasing Autoencoder Interpretability". In 26th European Conference on Genetic Programming. Brno, Czech Republic.
  • Mei, Y. (2023) "Invited Speaker of "Genetic Programming and Reinforcement Learning for Dynamic Scheduling"". IEEE Computational Intelligence Society Early Career Researcher Forum.
  • Yazdani-Asrami, M., Song, W., Morandi, A., De Carne, G., Murta-Pina, J., Pronto, A., . . . Abraham, A. (2023) "Roadmap on artificial intelligence and big data techniques for superconductivity". Superconductor Science and Technology, 36(4). doi:10.1088/1361-6668/acbb34
  • Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach". IEEE Transactions on Evolutionary Computation, 27(2), 296-310. doi:10.1109/TEVC.2022.3168052
  • Ma, J., Gao, X., & Li, Y. (2023) "Multi-generation multi-criteria feature construction using Genetic Programming". Swarm and Evolutionary Computation, 78. doi:10.1016/j.swevo.2023.101285
  • Ardeh, M. A., Mei, Y., Zhang, M., & Yao, X. (2023) "Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem". IEEE Transactions on Evolutionary Computation, 27(2), 311-325. doi:10.1109/TEVC.2022.3169289
  • Jia, Y. H., Mei, Y., & Zhang, M. (2023) "A Two-Stage Swarm Optimizer with Local Search for Water Distribution Network Optimization". IEEE Transactions on Cybernetics, 53(3), 1667-1681. doi:10.1109/TCYB.2021.3107900
  • Liu, Y., Sun, Y., Xue, B., Zhang, M., Yen, G. G., & Tan, K. C. (2023) "A Survey on Evolutionary Neural Architecture Search". IEEE Transactions on Neural Networks and Learning Systems, 34(2), 550-570. doi:10.1109/TNNLS.2021.3100554
  • Ceschin, F., Botacin, M., Gomes, H. M., Pinagé, F., Oliveira, L. S., & Grégio, A. (2023) "Fast & Furious: On the modelling of malware detection as an evolving data stream[Formula presented]". Expert Systems with Applications, 212. doi:10.1016/j.eswa.2022.118590
  • Bi, Y., Xue, B., & Zhang, M. (2023) "Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification". IEEE Transactions on Cybernetics, 53(2), 1118-1132. doi:10.1109/TCYB.2021.3105696
  • Bi, Y., Xue, B., Mesejo, P., Cagnoni, S., & Zhang, M. (2023) "A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends". IEEE Transactions on Evolutionary Computation, 27(1), 5-25. doi:10.1109/TEVC.2022.3220747
  • Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023) "Online Loss Function Learning". __. doi:10.48550/arxiv.2301.13247
  • O'Sullivan, F., Escott, K., Shaw, R., & Lensen, A. (2023) "Feature-based Image Matching for Identifying Individual Kākā". __. doi:10.48550/arXiv.2301.06678
  • O'Sullivan, F., Escott, K., Shaw, R., & Lensen, A. (2023) "Feature-based Image Matching for Identifying Individual Kākā". __. doi:10.48550/arXiv.2301.06678
  • Zhang, H., Zhou, A., Chen, Q., Xue, B., & Zhang, M. (2023) "SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3243172
  • Zhang, H., Chen, Q., Tonda, A., Xue, B., Banzhaf, W., & Zhang, M. (2023) "MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning". In Unknown Book (Vol. 13986 LNCS, pp. 84-100). doi:10.1007/978-3-031-29573-7_6
  • Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2023) "Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3255246
  • Yuan, G., Wang, B., Xue, B., & Zhang, M. (2023) "Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-based Encoding Strategy". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3245322
  • Yu, H., Fan, X., Hou, Y., Pei, W., Ge, H., Yang, X., . . . Zhang, M. (2023) "Towards Realistic 3D Human Motion Prediction with A Spatio-temporal Cross-transformer Approach". IEEE Transactions on Circuits and Systems for Video Technology. doi:10.1109/TCSVT.2023.3255186
  • Xue, B., Green, R., & Zhang, M. (2023) "Artificial Intelligence in New Zealand: applications and innovation". Journal of the Royal Society of New Zealand, 53(1), 1-5. doi:10.1080/03036758.2023.2170165
  • Xu, M., Mei, Y., Zhu, S., Zhang, B., Xiang, T., Zhang, F., & Zhang, M. (2023) "Genetic Programming for Dynamic Workflow Scheduling in Fog Computing". IEEE Transactions on Services Computing. doi:10.1109/TSC.2023.3249160
  • Xu, M., Mei, Y., Zhang, F., & Zhang, M. (2023) "Genetic Programming with Lexicase Selection for Large-scale Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3244607
  • Xie, X., Sun, Y., Liu, Y., Zhang, M., & Tan, K. C. (2023) "Architecture Augmentation for Performance Predictor via Graph Isomorphism". IEEE Transactions on Cybernetics. doi:10.1109/TCYB.2023.3267109
  • Wang, S., Mei, Y., & Zhang, M. (2023) "Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3238741
  • Wang, C., Ma, H., Chen, G., Huang, V., Yu, Y., & Christopher, K. (2023) "Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming". In Unknown Book (Vol. 13989 LNCS, pp. 539-555). doi:10.1007/978-3-031-30229-9_35
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Preface". Studies in Computational Intelligence, 1070, v-vi.
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Internet Protocol Based Architecture Design". In Studies in Computational Intelligence (Vol. 1070, pp. 181-192). doi:10.1007/978-3-031-16868-0_10
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Hybrid GA and PSO for Architecture Design". In Studies in Computational Intelligence (Vol. 1070, pp. 171-180). doi:10.1007/978-3-031-16868-0_9
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances". Springer International Publishing. doi:10.1007/978-3-031-16868-0
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Evolutionary Computation". In Studies in Computational Intelligence (Vol. 1070, pp. 3-7). doi:10.1007/978-3-031-16868-0_1
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "End-to-End Performance Predictors". In Studies in Computational Intelligence (Vol. 1070, pp. 237-255). doi:10.1007/978-3-031-16868-0_14
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Encoding Space Based on Directed Acyclic Graphs". In Studies in Computational Intelligence (Vol. 1070, pp. 223-236). doi:10.1007/978-3-031-16868-0_13
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Distribution Training Framework for Architecture Design". In Studies in Computational Intelligence (Vol. 1070, pp. 311-329). doi:10.1007/978-3-031-16868-0_17
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Differential Evolution for Architecture Design". In Studies in Computational Intelligence (Vol. 1070, pp. 193-202). doi:10.1007/978-3-031-16868-0_11
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Deep Neural Networks". In Studies in Computational Intelligence (Vol. 1070, pp. 9-30). doi:10.1007/978-3-031-16868-0_2
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Deep Neural Architecture Pruning". In Studies in Computational Intelligence (Vol. 1070, pp. 257-279). doi:10.1007/978-3-031-16868-0_15
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Deep Neural Architecture Compression". In Studies in Computational Intelligence (Vol. 1070, pp. 281-310). doi:10.1007/978-3-031-16868-0_16
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for Variational Auto-Encoders". In Studies in Computational Intelligence (Vol. 1070, pp. 79-105). doi:10.1007/978-3-031-16868-0_5
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for Stacked AEs and DBNs". In Studies in Computational Intelligence (Vol. 1070, pp. 39-59). doi:10.1007/978-3-031-16868-0_3
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for Skip-Connection Based CNNs". In Studies in Computational Intelligence (Vol. 1070, pp. 147-170). doi:10.1007/978-3-031-16868-0_8
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for RBs and DBs Based CNNs". In Studies in Computational Intelligence (Vol. 1070, pp. 127-145). doi:10.1007/978-3-031-16868-0_7
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for Plain CNNs". In Studies in Computational Intelligence (Vol. 1070, pp. 109-126). doi:10.1007/978-3-031-16868-0_6
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for Convolutional Auto-Encoders". In Studies in Computational Intelligence (Vol. 1070, pp. 61-77). doi:10.1007/978-3-031-16868-0_4
  • Sun, Y., Yen, G. G., & Zhang, M. (2023) "Architecture Design for Analyzing Hyperspectral Images". In Studies in Computational Intelligence (Vol. 1070, pp. 203-217). doi:10.1007/978-3-031-16868-0_12
  • Shi, T., Hartmann, S., Chen, G., & Ma, H. (2023) "Location-Aware Cloud Service Brokering in Multi-cloud Environment". In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13821 LNCS (pp. 408-410). doi:10.1007/978-3-031-26507-5_42
  • Saeed, A., Chen, G., Ma, H., & Fu, Q. (2023) "A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling". In Unknown Book (Vol. 13989 LNCS, pp. 556-572). doi:10.1007/978-3-031-30229-9_36
  • Pei, W., Xue, B., Zhang, M., Shang, L., Yao, X., & Zhang, Q. (2023) "A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3257230
  • Palli, A. S., Jaafar, J., Hashmani, M. A., Gomes, H. M., Alsughayyir, A., & Gilal, A. R. (2023) "Combined Effect of Concept Drift and Class Imbalance on Model Performance during Stream Classification". Computers, Materials and Continua, 75(1), 1827-1845. doi:10.32604/cmc.2023.033934
  • Lin, J., Chen, Q., Xue, B., & Zhang, M. (2023) "AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification". In Unknown Book (Vol. 13989 LNCS, pp. 623-639). doi:10.1007/978-3-031-30229-9_40
  • Huang, Z., Mei, Y., Zhang, F., & Zhang, M. (2023) "Multitask Linear Genetic Programming with Shared Individuals and its Application to Dynamic Job Shop Scheduling". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3263871
  • Huang, V., Chen, G., Zuo, X., Zomaya, A. Y., Sohrabi, N., Tari, Z., & Fu, Q. (2023) "Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach". IEEE Transactions on Cybernetics, 1-14. doi:10.1109/tcyb.2023.3266448
  • Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2023) "Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance". IEEE Transactions on Neural Networks and Learning Systems, 1-15. doi:10.1109/tnnls.2023.3269816
  • Fu, W., Xue, B., Zhang, M., & Schindler, J. (2023) "Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation". In Unknown Book (Vol. 13836 LNCS, pp. 188-201). doi:10.1007/978-3-031-25825-1_14
  • Escott, K. R., Ma, H., & Chen, G. (2023) "Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing". In Unknown Book (Vol. 13987 LNCS, pp. 146-161). doi:10.1007/978-3-031-30035-6_10
  • Chen, Y., Shi, T., Ma, H., & Chen, G. (2023) "Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning". In Unknown Book (Vol. 13989 LNCS, pp. 573-587). doi:10.1007/978-3-031-30229-9_37
  • Bi, Y., Xue, B., Briscoe, D., Vennell, R., & Zhang, M. (2023) "A new artificial intelligent approach to buoy detection for mussel farming". Journal of the Royal Society of New Zealand, 53(1), 27-51. doi:10.1080/03036758.2022.2090966
  • Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2023) "Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data". IEEE Transactions on Cybernetics. doi:10.1109/TCYB.2023.3270319
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