Recent publications
Article
Herring, D, Kirley, M & Yao, X 2024, 'A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem', Swarm and Evolutionary Computation, vol. 84, 101433. https://doi.org/10.1016/j.swevo.2023.101433
Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives', IEEE Transactions on Emerging Topics in Computational Intelligence.
Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Learning to Expand/Contract Pareto Sets in Dynamic Multi-objective Optimization with a Changing Number of Objectives', IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2024.3375751
Shi, X, Minku, L & Yao, X 2023, 'Evolving Memristive Reservoir', IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3270224
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
Zhang, G, Li, L, Su, Z, Shao, Z, Li, M, Li, B & Yao, X 2023, 'New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation', IEEE Transactions on Software Engineering, vol. 49, no. 4, pp. 2513-2529. https://doi.org/10.1109/TSE.2022.3223875
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, vol. 28, no. 5, 124. https://doi.org/10.1007/s10664-023-10341-8
Su, Z, Li, M, Zhang, G, Wu, Q, Li, M, Zhang, W & Yao, X 2023, 'Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM', IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 5, pp. 4016-4031. https://doi.org/10.1109/TDSC.2022.3215280
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
Conference contribution
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2023, A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 45–46, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583133.3595829
Song, L, Minku, L, Teng, C & Yao, X 2023, A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. in S Chandra, K Blincoe & P Tonella (eds), ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. FSE: Foundations of Software Engineering, Association for Computing Machinery (ACM), pp. 605–617, 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, San Francisco, California, United States, 3/12/23. https://doi.org/10.1145/3611643.3616307
Shi, X, Wang, Z, Minku, L & Yao, X 2023, Explaining Memristive Reservoir Computing Through Evolving Feature Attribution. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 683–686. https://doi.org/10.1145/3583133.3590619
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
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