Professor Xin Yao BSc, MSc, PhD

Prof Xin Yao

School of Computer Science
Professor of Computer Science

Contact details

Telephone
+44 (0) 121 414 3747
Email
x.yao@cs.bham.ac.uk
View my research portal
Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Professor Xin Yao is a Professor of Computer Science in the School of Computer Science, at the University of Birmingham. 

Professor Yao also operates ECOLE, an Innovative Training Network (ITN) for early stage researchers (ESRs) funded by the EU’s Horizon 2020 research and innovation program under grant agreement No.766186. It is based on novel synergies between nature inspired optimisation and machine learning. The training programme will be targeted at the automotive industry and ESRs employed on the program will be provided with the transferable skills necessary for thriving careers in emerging and rapidly developing industrial areas.

Please follow the link below to find out more about Professor Yao's work:

Professor Yao's-personal webpage.

Research

Professor Yao’s research interests include:

  • Evolutionary computation (evolutionary optimisation, evolutionary learning, evolutionary design)
  • Neural network ensembles and multiple classifiers (especially on the diversity issue)
  • Meta-heuristic algorithms
  • Data mining
  • Global optimisation
  • Simulated annealing
  • Computational complexity of evolutionary algorithms, and various real-world applications

Publications

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

View all publications in research portal