Professor Xin Yao BSc, MSc, PhD

Prof Xin Yao

School of Computer Science
Professor of Computer Science

Contact details

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

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, pp. 1-11. https://doi.org/10.1109/TC.2022.3173151

Conference contribution

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, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18/07/22.

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 GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. vol. 2022, 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, IEEE, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 4/12/21. https://doi.org/10.1109/SSCI50451.2021.9660034

Friess, S, Tiňo, P, Menzel, S, Sendhoff, B & Yao, X 2022, Predicting CMA-ES operators as inductive biases for shape optimization problems. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660001, IEEE Symposium Series on Computational Intelligence, IEEE, pp. 1-7, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660001

Shi, X, Gao, J, Minku, L, Yu, J & Yao, X 2022, Second-order time delay reservoir computing for nonlinear time series problems. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9659913, IEEE Symposium Series on Computational Intelligence, IEEE, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 4/12/21. https://doi.org/10.1109/SSCI50451.2021.9659913

Saha, S, Minku, L, Yao, X, Sendhoff, B & Menzel, S 2022, Split-AE: an autoencoder-based disentanglement framework for 3D shape-to-shape feature transfer. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), IEEE, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18/07/22.

Tong, H, Minku, L, Menzel, S, Senhoff, B & Yao, X 2022, What makes the dynamic capacitated arc routing problem hard to solve: insights from fitness landscape analysis. in GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. vol. 2022, Association for Computing Machinery (ACM), New York, pp. 305-313, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3512290.3528756

Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2021, A hybrid local search framework for the dynamic capacitated arc routing problem. in F Chicano (ed.), GECCO '21: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery (ACM), New York, pp. 139-140, Genetic and Evolutionary Computation Conference, 10/07/21. https://doi.org/10.1145/3449726.3459450

Friess, S, Tiňo, P, Xu, Z, Menzel, S, Sendhoff, B & Yao, X 2021, Artificial neural networks as feature extractors in continuous evolutionary optimization. in 2021 International Joint Conference on Neural Networks (IJCNN)., 9533915, International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1-9, 2021 International Joint Conference on Neural Networks (IJCNN), 18/07/21. https://doi.org/10.1109/IJCNN52387.2021.9533915

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