Publications 2023 - Groups/ECRG | Te Kura Mātai Pūkaha, Pūrorohiko / School of Engineering and Computer Science | Te Herenga Waka

Londt, T., Gao, X., Andreae, P., & Mei, Y. (2023) "XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks". __. doi:10.48550/arxiv.2312.07760
Zhang, F., Mei, Y., Nguyen, S., Tan, K. C., & Zhang, M. (2023) "Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Evolutionary Computation, 27(6), 1705-1719. doi:10.1109/TEVC.2022.3199783
Wang, S., Mei, Y., & Zhang, M. (2023) "A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem". IEEE Transactions on Evolutionary Computation, 27(6), 1633-1647. doi:10.1109/TEVC.2022.3195165
Li, B., Guo, T., Mei, Y., Li, Y., Chen, J., Zhang, Y., . . . Du, W. (2023) "A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation". Swarm and Evolutionary Computation, 83. doi:10.1016/j.swevo.2023.101400
Jiao, R., Xue, B., & Zhang, M. (2023) "Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach". IEEE Transactions on Cybernetics, 53(12), 7773-7786. doi:10.1109/TCYB.2022.3218345
Cai, X., Wang, K., Mei, Y., Li, Z., Zhao, J., & Zhang, Q. (2023) "Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem". IEEE Transactions on Evolutionary Computation, 27(6), 1604-1617. doi:10.1109/TEVC.2022.3215174
Hancer, E., Xue, B., & Zhang, M. (2023) "An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios". Knowledge-Based Systems, 280. doi:10.1016/j.knosys.2023.111008
Lythe, M., Mazorra de Cos, G., Mingallon, M., Lensen, A., Galloway, C., Knox, D., . . . Kumarasinghe, K. (2023) "Explainable AI – building trust through understanding: Explainable AI Whitepaper". AI Forum. Retrieved from https://aiforum.org.
Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2023) "Large-Scale Mussel Farm Reconstruction with GPS Auxiliary". In International Conference on Image and Vision Computing New Zealand (IVCNZ).
Zhao, J., McMillan, C., Xue, B., Vennell, R., & Zhang, M. (2023) "Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming (Best Paper Award)". In International Conference on Image and Vision Computing New Zealand (IVCNZ).
McMillan, C., Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2023) "Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation". In International Conference on Image and Vision Computing New Zealand (IVCNZ 2023).
Zhang, Y., Mei, Y., Zhang, H., Cai, Q., & Wu, H. (2023) "RoCaSH2: An Effective Route Clustering and Search Heuristic for Large-Scale Multi-Depot Capacitated Arc Routing Problem". IEEE Computational Intelligence Magazine, 18(4), 43-56. doi:10.1109/MCI.2023.3304081
Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2023) "MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]". IEEE Computational Intelligence Magazine, 18(4), 62-63. doi:10.1109/MCI.2023.3304085
Shi, T., Ma, H., Chen, G., & Hartmann, S. (2023) "Auto-Scaling Containerized Applications in Geo-Distributed Clouds". IEEE Transactions on Services Computing, 16(6), 4261-4274. doi:10.1109/TSC.2023.3317262
Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023) "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning". IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11), 13699-13714. doi:10.1109/TPAMI.2023.3294394
Cerqueira, V., Gomes, H. M., Bifet, A., & Torgo, L. (2023) "STUDD: a student–teacher method for unsupervised concept drift detection". Machine Learning, 112(11), 4351-4378. doi:10.1007/s10994-022-06188-7
Lee, A., Zhang, Y., Gomes, H. M., Bifet, A., & Pfahringer, B. (2023) "Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning". __. doi:10.48550/arxiv.2310.20052
Lee, A., Zhang, Y., Gomes, H. M., Bifet, A., & Pfahringer, B. (2023) "Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning". In International Conference on Information and Knowledge Management, Proceedings (pp. 4038-4042). doi:10.1145/3583780.3615236
Lensen, A. (2023) "NZ’s political leaders are ignoring the mounting threats from AI – and that’s putting everyone at risk". The Conversation. Retrieved from https://theconversation.
Zhang, F., Mei, Y., Nguyen, S., Tan, K. C., & Zhang, M. (2023) "Instance-Rotation-Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job-Shop Scheduling". IEEE Transactions on Evolutionary Computation, 27(5), 1192-1206. doi:10.1109/TEVC.2022.3180693
Yu, H., Fan, X., Hou, Y., Pei, W., Ge, H., Yang, X., . . . Zhang, M. (2023) "Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach". IEEE Transactions on Circuits and Systems for Video Technology, 33(10), 5707-5720. doi:10.1109/TCSVT.2023.3255186
Yang, C., Cheung, Y. M., Ding, J., Tan, K. C., Xue, B., & Zhang, M. (2023) "Contrastive Learning Assisted-Alignment for Partial Domain Adaptation". IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7621-7634. doi:10.1109/TNNLS.2022.3145034
Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Differential Evolution With Duplication Analysis for Feature Selection in Classification". IEEE Transactions on Cybernetics, 53(10), 6676-6689. doi:10.1109/TCYB.2022.3213236
Huang, J., Xue, B., Sun, Y., Zhang, M., & Yen, G. G. (2023) "Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification". IEEE Transactions on Evolutionary Computation, 27(5), 1298-1312. doi:10.1109/TEVC.2022.3217290
Liu, G., Chen, G., & Huang, V. (2023) "Policy ensemble gradient for continuous control problems in deep reinforcement learning". Neurocomputing, 548. doi:10.1016/j.neucom.2023.126381
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
Cassales, G., Gomes, H. M., Bifet, A., Pfahringer, B., & Senger, H. (2023) "Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing". IEEE Transactions on Network and Service Management, 20(3), 3038-3054. doi:10.1109/TNSM.2022.3226505
McMillan, C., Zhao, J., Xue, B., Vennell, R., & Zhang, M. (2023) "Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation". __. doi:10.48550/arxiv.2308.09238
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
Pei, W., Xue, B., Shang, L., & Zhang, M. (2023) "Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming". IEEE Transactions on Evolutionary Computation, 27(4), 1130-1144. doi:10.1109/TEVC.2022.3203862
Nguyen, T. B., Browne, W. N., & Zhang, M. (2023) "ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems". IEEE Transactions on Evolutionary Computation, 27(4), 1057-1071. doi:10.1109/TEVC.2022.3210872
Li, S., Sun, Y., Yen, G. G., & Zhang, M. (2023) "Automatic Design of Convolutional Neural Network Architectures under Resource Constraints". IEEE Transactions on Neural Networks and Learning Systems, 34(8), 3832-3846. doi:10.1109/TNNLS.2021.3123105
Jiao, R., Xue, B., & Zhang, M. (2023) "A Multiform Optimization Framework for Constrained Multiobjective Optimization". IEEE Transactions on Cybernetics, 53(8), 5165-5177. doi:10.1109/TCYB.2022.3178132
Zhu, L., Zhang, F., Zhu, X., Chen, K., & Zhang, M. (2023) "Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 384-392). doi:10.1145/3583131.3590440
Zhang, M., & Cagnoni, S. (2023) "Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition". In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 1533-1561). doi:10.1145/3583133.3595045
Zhang, H., Zhou, A., Chen, Q., Xue, B., & Zhang, M. (2023) "Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]". In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 49-50). doi:10.1145/3583133.3595831
Zhang, H., Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2023) "A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 1194-1202). doi:10.1145/3583131.3590365
Yuan, G., Xue, B., & Zhang, M. (2023) "An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 615-623). doi:10.1145/3583131.3590438
Xue, B., & Zhang, M. (2023) "Evolutionary Computation for Feature Selection and Feature Construction". In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 1129-1156). doi:10.1145/3583133.3595050
Ul Ain, Q., Al-Sahaf, H., Xue, B., & Zhang, M. (2023) "A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection". In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 707-710). doi:10.1145/3583133.3590550
Raymond, C., Chen, Q., Xue, B., & Zhang, M. (2023) "Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 1184-1193). doi:10.1145/3583131.3590361
Liu, Y., Cui, Y., Xue, B., Browne, W. N., Cheng, W., Li, Y., & Zeng, L. (2023) "Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems". In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 299-302). doi:10.1145/3583133.3590564
Huang, J., Xue, B., Sun, Y., & Zhang, M. (2023) "Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation". In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 655-658). doi:10.1145/3583133.3590535
Demir, K., Nguyen, B., Xue, B., & Zhang, M. (2023) "Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 438-446). doi:10.1145/3583131.3590373
Chen, Q., Xue, B., Banzhaf, W., & Zhang, M. (2023) "Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 420-428). doi:10.1145/3583131.3595918
Andersen, H., Lensen, A., Browne, W., & Mei, Y. (2023) "Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms". In GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference (pp. 393-401). doi:10.1145/3583131.3590444
Zhang, F., Mei, Y., Nguyen, S., & Zhang, M. (2023) "Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling". IEEE Transactions on Cybernetics, 53(7), 4473-4486. doi:10.1109/TCYB.2022.3196887
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, 16(4), 2657-2671. doi:10.1109/TSC.2023.3249160
Wang, P., Xue, B., Liang, J., & Zhang, M. (2023) "Multiobjective Differential Evolution for Feature Selection in Classification". IEEE Transactions on Cybernetics, 53(7), 4579-4593. doi:10.1109/TCYB.2021.3128540
Wang, C., Ma, H., Chen, G., & Hartmann, S. (2023) "Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition". IEEE Transactions on Evolutionary Computation, 27(3), 490-504. doi:10.1109/TEVC.2022.3170899
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
Fan, Q., Bi, Y., Xue, B., & Zhang, M. (2023) "Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse". IEEE Transactions on Evolutionary Computation, 27(3), 460-474. doi:10.1109/TEVC.2022.3169490
Alavizadeh, H., Jang-Jaccard, J., Enoch, S. Y., Al-Sahaf, H., Welch, I., Camtepe, S. A., & Kim, D. D. (2023) "A Survey on Cyber Situation-Awareness Systems: Framework, Techniques, and Insights". ACM Computing Surveys, 55(5). doi:10.1145/3530809
Chen, G., & Huang, V. (2023) "Deep Metric Tensor Regularized Policy Gradient". https://arxiv.org/abs/2305.11017.
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
Gomes, H. M., Grzenda, M., Mello, R., Read, J., Le Nguyen, M. H., & Bifet, A. (2023) "A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams". ACM Computing Surveys, 55(4). doi:10.1145/3523055
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
Bifet, A., Gama, J., Gomes, H. M., & Veloso, B. (2023) "EDITORIAL MESSAGE: Special Track on Data Streams". Proceedings of the ACM Symposium on Applied Computing, 381.
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
Dang, B., Nguyen, A., Hong, Y., Nguyen, P., & Tran, B. -N. (2023) "Revealing the Hidden Structure of Affective States During Emotion Regulation in Synchronous Online Collaborative Learning". In The 56th Hawaii International Conference on System Sciences (HICSS).. Hawaii International Conference on System Sciences. Retrieved from https://hdl.handle.
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
Zeng, D., Bi, Y., Liu, I., Xue, B., Vennell, R., & Zhang, M. (2023) "A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images". In International Conference Image and Vision Computing New Zealand. doi:10.1109/IVCNZ61134.2023.10343758
Yang, Y., Ma, H., Chen, G., & Hartmann, S. (2023) "A model-driven machine learning approach to dynamic multi-workflow scheduling". In CEUR Workshop Proceedings Vol. 3618.
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
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, Z., Xue, B., Zhang, M., & Schindler, J. (2023) "An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery". In International Conference Image and Vision Computing New Zealand. doi:10.1109/IVCNZ61134.2023.10343827
Sun, Y., Yen, G. G., & Zhang, M. (2023) "Preface". Studies in Computational Intelligence, 1070, v-vi. doi:10.1515/9783110796018-201
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
Sun, F., Ma, H., Chen, G., & Hartmann, S. (2023) "IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias". In 2023 IEEE Congress on Evolutionary Computation, CEC 2023. doi:10.1109/CEC53210.2023.10254066
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
Rogers, M., Debski, I., Fischer, J., McComb, P., Frost, P., Xue, B., . . . Delmas, P. (2023) "Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging". In Lecture Notes in Computer Science (pp. 287-298). Springer Nature Switzerland. doi:10.1007/978-3-031-45382-3_24
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
O'keeffe, H., Xue, B., Zhang, M., Hawes, N., & Lovell-Smith, C. (2023) "Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels". In International Conference Image and Vision Computing New Zealand. doi:10.1109/IVCNZ61134.2023.10343726
Masood, A., Chen, G., Mei, Y., Al-Sahaf, H., & Zhang, M. (2023) "Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling". In AI 2023: Advances in Artificial Intelligence (pp. 466-478). Springer, Singapore. doi:10.1007/978-981-99-8391-9_37
Londt, T., Gao, X., Andreae, P., & Mei, Y. (2023) "A Two-Stage Hybrid GA-Cellular Encoding Approach to Neural Architecture Search". In 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 (pp. 1814-1820). doi:10.1109/SSCI52147.2023.10371929
Lin, M., Shang, L., & Gao, X. (2023) "Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming". In IEEE International Conference on Data Mining Workshops, ICDMW (pp. 371-378). doi:10.1109/ICDMW60847.2023.00053
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
Knox, D., Xue, B., Zhang, M., & Cuff, J. (2023) "Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks". In International Conference Image and Vision Computing New Zealand. doi:10.1109/IVCNZ61134.2023.10343908
Knox, D., Xue, B., & Zhang, M. (2023) "Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection". Procedia Computer Science, 222, 636-645. doi:10.1016/j.procs.2023.08.201
Jiao, R., Nguyen, B. H., Xue, B., & Zhang, M. (2023) "A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3292527
Guo, T., Mei, Y., Tang, K., & Du, W. (2023) "A Knee-Guided Evolutionary Algorithm for Multi-Objective Air Traffic Flow Management". IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2023.3281810
Gunasekara, N., Pfahringer, B., Gomes, H. M., & Bifet, A. (2023) "Survey on Online Streaming Continual Learning". In IJCAI International Joint Conference on Artificial Intelligence Vol. 2023-August (pp. 6628-6637). doi:10.24963/ijcai.2023/743
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
Fang, Z., Ma, H., Chen, G., & Hartmann, S. (2023) "Energy-Efficient and Communication-Aware Resource Allocation in Container-Based Cloud with Group Genetic Algorithm". In Unknown Book (Vol. 14419 LNCS, pp. 212-226). doi:10.1007/978-3-031-48421-6_15
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
Chen, G., & Huang, V. (2023) "Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training". In IJCAI International Joint Conference on Artificial Intelligence Vol. 2023-August (pp. 3514-3522). doi:10.24963/ijcai.2023/391
Burmester, G., Kugelmann, D., Steinmetz, D., Ma, H., & Hartmann, S. (2023) "A Conceptual Modeling Approach for Risk Assessment and Mitigation in Collision-Free UAV Routing Planning for Beyond-the-Visual-Line-of-Sight Flights". In Unknown Book (Vol. 14320 LNCS, pp. 394-411). doi:10.1007/978-3-031-47262-6_21
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
Azam, B., Verma, B., & Zhang, M. (2023) "Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach". In 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 (pp. 959-964). doi:10.1109/SSCI52147.2023.10372046
Zeng, P., Song, X., Lensen, A., Ou, Y., Sun, Y., Zhang, M., & Lv, J. (2023) "Differentiable Genetic Programming for High-dimensional Symbolic Regression". __.
Jiao, R., Xue, B., & Zhang, M. (2023) "A Tri-objective Method for Bi-objective Feature Selection in Classification". Evolutionary Computation, 1-30. doi:10.1162/evco_a_00339

Print version | Backlinks |