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
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Evaluating Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems Based on a Novel Lower Bound Method', IEEE Computational Intelligence Magazine, vol. 19, no. 4, 10709780, pp. 31-44. https://doi.org/10.1109/MCI.2024.3440213
Ruan, G, Minku, L, Xu, Z & Yao, X 2024, 'Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network', IEEE Transactions on Emerging Topics in Computational Intelligence.
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. https://doi.org/10.1109/TETCI.2024.3389769
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, Su, Z, Shao, Z, Li, M, Li, B, Yao, X & Li, L 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
Conference contribution
Shi, X, Minku, L & Yao, X 2024, Novel Memristive Reservoir Computing with Evolvable Topology for Time Series Prediction. in 31st International Conference on Neural Information Processing (ICONIP'2024). Springer, 31st International Conference on Neural Information Processing, Auckland, New Zealand, 2/12/24.
Shi, X, Minku, L & Yao, X 2024, Tree-based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. in Forty-fourth SGAI International Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence, Forty-fourth SGAI International Conference on Artificial Intelligence, Cambridge, United Kingdom, 17/12/24.
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
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