Recent publications
Article
Shi, X, Minku, L & Yao, X 2023, 'Evolving Memristive Reservoir', IEEE Transactions on Neural Networks and Learning Systems.
Zhang, S, Tino, P & Yao, X 2023, 'Hierarchical reduced-space drift detection framework for multivariate supervised data streams', IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, pp. 2628-2640. https://doi.org/10.1109/TKDE.2021.3111756
Song, L, Minku, L & Yao, X 2023, 'On the Validity of Retrospective Predictive Performance Evaluation Procedures in Just-In-Time Software Defect Prediction', Empirical Software Engineering.
He, Y, Wang, Y, Wang, S & Yao, X 2022, 'A cooperative ensemble method for multistep wind speed probabilistic forecasting', Chaos, Solitons and Fractals, vol. 162, 112416. https://doi.org/10.1016/j.chaos.2022.112416
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2022, 'A novel generalised meta-heuristic framework for dynamic capacitated arc routing problems', IEEE Transactions on Evolutionary Computation, vol. 2022, pp. 1-15. https://doi.org/10.1109/TEVC.2022.3147509
Shi, X, Minku, L & Yao, X 2022, 'A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit', Genetic Programming and Evolvable Machines. https://doi.org/10.1007/s10710-022-09436-w
Shi, X, Minku, L & Yao, X 2022, 'Adaptive memory-enhanced time delay reservoir and its memristive implementation', IEEE Transactions on Computers, vol. 71, no. 11, pp. 1-11. https://doi.org/10.1109/TC.2022.3173151
Li, M, Chen, T & Yao, X 2022, 'How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance', IEEE Transactions on Software Engineering, vol. 48, no. 5, pp. 1771-1799. https://doi.org/10.1109/TSE.2020.3036108
Conference contribution
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2023, A Novel Optimization Framework for Dynamic Capacitated Arc Routing Problems. in GECCO ’23: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), GECCO: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23.
Shi, X, Wang, Z, Minku, L & Yao, X 2023, Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. in GECCO ’23: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM).
Song, L, Li, S, Minku, L & Yao, X 2022, A novel data stream learning approach to tackle one-sided label noise from verification latency. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), IEEE, Piscataway, NJ, pp. 1-8, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18/07/22. https://doi.org/10.1109/IJCNN55064.2022.9891911
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2022, Benchmarking dynamic capacitated arc routing algorithms using real-world traffic simulation. in 2022 IEEE Congress on Evolutionary Computation (CEC). vol. 2022, Congress on Evolutionary Computation, IEEE, 2022 IEEE Congress on Evolutionary Computation, Padua, Italy, 18/07/22. https://doi.org/10.1109/CEC55065.2022.9870399
Shi, X, Gao, J, Minku, L & Yao, X 2022, Evolving parsimonious circuits through Shapley value-based genetic programming. in JE Fieldsend (ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), New York, pp. 602-605, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3520304.3529032
Saha, S, Minku, L, Yao, X, Sendhoff, B & Menzel, S 2022, Exploiting 3D variational autoencoders for interactive vehicle design. in DESIGN2022. vol. 2, Proceedings of the Design Society, Cambridge University Press, pp. 1747-1756, DESIGN 2022, Croatia, 23/05/22. https://doi.org/10.1017/pds.2022.177
Saha, S, Rios, T, Minku, L, Vas Stein, B, Wollstadt, P, Yao, X, Back, T, Sendhoff, B & Menzel, S 2022, Exploiting generative models for performance predictions of 3D car designs. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660034, IEEE Symposium Series on Computational Intelligence, Institute of Electrical and Electronics Engineers (IEEE), IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, Florida, United States, 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660034
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