Xin Yao

Ruan, G., Minku, L., Menzel, S., Sendhoff, B. & Yao, X., 14 Mar 2024, (E-pub ahead of print) In: IEEE Transactions on Evolutionary Computation. 16 p., 10466374.

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Novel Memristive Reservoir Computing with Evolvable Topology for Time Series Prediction

Shi, X., Minku, L. & Yao, X., 21 Aug 2024, (Accepted/In press) 31st International Conference on Neural Information Processing (ICONIP'2024). Springer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tree-based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value

Shi, X., Minku, L. & Yao, X., 30 Aug 2024, (Accepted/In press) Forty-fourth SGAI International Conference on Artificial Intelligence. (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2023

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems

Tong, H., Minku, L., Menzel, S., Sendhoff, B. & Yao, X., 24 Jul 2023, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. Association for Computing Machinery (ACM), p. 45–46 2 p. (GECCO: Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction

Song, L., Minku, L., Teng, C. & Yao, X., 30 Nov 2023, ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Chandra, S., Blincoe, K. & Tonella, P. (eds.). Association for Computing Machinery (ACM), p. 605–617 13 p. (FSE: Foundations of Software Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Evolving Memristive Reservoir

Shi, X., Minku, L. & Yao, X., 24 May 2023, In: IEEE Transactions on Neural Networks and Learning Systems.

Research output: Contribution to journal › Article › peer-review

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Explaining Memristive Reservoir Computing Through Evolving Feature Attribution

Shi, X., Wang, Z., Minku, L. & Yao, X., 24 Jul 2023, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. Association for Computing Machinery (ACM), p. 683–686 4 p. (GECCO: Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hierarchical reduced-space drift detection framework for multivariate supervised data streams

Zhang, S., Tino, P. & Yao, X., 1 Mar 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 3, p. 2628-2640 13 p.

Research output: Contribution to journal › Article › peer-review

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New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation

Zhang, G., Su, Z., Shao, Z., Li, M., Li, B., Yao, X. & Li, L., Apr 2023, In: IEEE Transactions on Software Engineering. 49, 4, p. 2513-2529 17 p.

Research output: Contribution to journal › Article › peer-review

On the Validity of Retrospective Predictive Performance Evaluation Procedures in Just-In-Time Software Defect Prediction

Song, L., Minku, L. & Yao, X., 18 Sept 2023, In: Empirical Software Engineering. 28, 5, 33 p., 124.

Research output: Contribution to journal › Article › peer-review

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Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM

Su, Z., Li, M., Zhang, G., Wu, Q., Li, M., Zhang, W. & Yao, X., Sept 2023, In: IEEE Transactions on Dependable and Secure Computing. 20, 5, p. 4016-4031 16 p.

Research output: Contribution to journal › Article › peer-review

2022

A cooperative ensemble method for multistep wind speed probabilistic forecasting

He, Y., Wang, Y., Wang, S. & Yao, X., 19 Jul 2022, In: Chaos, Solitons and Fractals. 162, 112416.

Research output: Contribution to journal › Article › peer-review

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Adaptive memory-enhanced time delay reservoir and its memristive implementation

Shi, X., Minku, L. & Yao, X., 11 May 2022, (E-pub ahead of print) In: IEEE Transactions on Computers. 71, 11, p. 1-11 11 p.

Research output: Contribution to journal › Article › peer-review

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A novel data stream learning approach to tackle one-sided label noise from verification latency

Song, L., Li, S., Minku, L. & Yao, X., 30 Sept 2022, (E-pub ahead of print) 2022 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: IEEE, p. 1-8 8 p. (International Joint Conference on Neural Networks (IJCNN)).

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A novel generalised meta-heuristic framework for dynamic capacitated arc routing problems

Tong, H., Minku, L., Menzel, S., Sendhoff, B. & Yao, X., 31 Jan 2022, In: IEEE Transactions on Evolutionary Computation. 2022, p. 1-15

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A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit

Shi, X., Minku, L. & Yao, X., 21 Jul 2022, (E-pub ahead of print) In: Genetic Programming and Evolvable Machines. 41 p.

Research output: Contribution to journal › Article › peer-review

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Benchmarking dynamic capacitated arc routing algorithms using real-world traffic simulation

Tong, H., Minku, L., Menzel, S., Sendhoff, B. & Yao, X., 6 Sept 2022, (E-pub ahead of print) 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE, Vol. 2022. 8 p. (Congress on Evolutionary Computation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Evolving parsimonious circuits through Shapley value-based genetic programming

Shi, X., Gao, J., Minku, L. & Yao, X., 19 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Fieldsend, J. E. (ed.). New York: Association for Computing Machinery (ACM), p. 602-605 4 p. (GECCO: Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Exploiting 3D variational autoencoders for interactive vehicle design

Saha, S., Minku, L., Yao, X., Sendhoff, B. & Menzel, S., 26 May 2022, DESIGN2022. Cambridge University Press, Vol. 2. p. 1747-1756 10 p. (Proceedings of the Design Society).

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Exploiting generative models for performance predictions of 3D car designs

Saha, S., Rios, T., Minku, L., Vas Stein, B., Wollstadt, P., Yao, X., Back, T., Sendhoff, B. & Menzel, S., 24 Jan 2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), 9 p. 9660034. (IEEE Symposium Series on Computational Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Finding top-K solutions for the decision-maker in multiobjective optimization

Luo, W., Shi, L., Lin, X., Zhang, J., Li, M. & Yao, X., Oct 2022, In: Information Sciences. 613, p. 204-227 24 p.

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance

Li, M., Chen, T. & Yao, X., May 2022, In: IEEE Transactions on Software Engineering. 48, 5, p. 1771-1799 29 p.

Research output: Contribution to journal › Article › peer-review

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Predicting CMA-ES operators as inductive biases for shape optimization problems

Friess, S., Tiňo, P., Menzel, S., Sendhoff, B. & Yao, X., 24 Jan 2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), 7 p. 9660001. (IEEE Symposium Series on Computational Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Reproducibility and baseline reporting for dynamic multi-objective benchmark problems

Herring, D., Kirley, M. & Yao, X., 8 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. Fieldsend, J. E. (ed.). New York: Association for Computing Machinery (ACM), p. 529–537 9 p. (GECCO: Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Second-order time delay reservoir computing for nonlinear time series problems

Shi, X., Gao, J., Minku, L., Yu, J. & Yao, X., 24 Jan 2022, 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), 8 p. 9659913. (IEEE Symposium Series on Computational Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Split-AE: an autoencoder-based disentanglement framework for 3D shape-to-shape feature transfer

Saha, S., Minku, L., Yao, X., Sendhoff, B. & Menzel, S., 30 Sept 2022, 2022 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-9 9 p. (International Joint Conference on Neural Networks (IJCNN)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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What makes the dynamic capacitated arc routing problem hard to solve: insights from fitness landscape analysis

Tong, H., Minku, L., Menzel, S., Senhoff, B. & Yao, X., 8 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. Fieldsend, J. E. (ed.). New York: Association for Computing Machinery (ACM), p. 305-313 9 p. (GECCO: Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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146 Downloads (Pure)

2021

A hybrid local search framework for the dynamic capacitated arc routing problem

Tong, H., Minku, L., Menzel, S., Sendhoff, B. & Yao, X., 7 Jul 2021, GECCO '21: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Chicano, F. (ed.). New York: Association for Computing Machinery (ACM), p. 139-140 2 p. (Genetic and Evolutionary Computation Conference (GECCO)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Artificial neural networks as feature extractors in continuous evolutionary optimization

Friess, S., Tiňo, P., Xu, Z., Menzel, S., Sendhoff, B. & Yao, X., 21 Sept 2021, 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-9 9 p. 9533915. (International Joint Conference on Neural Networks (IJCNN)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Enhanced constraint handling for reliability-constrained multiobjective testing resource allocation

Su, Z., Zhang, G., Yue, F., Zhan, D., Li, M., Li, B. & Yao, X., Jun 2021, In: IEEE Transactions on Evolutionary Computation. 25, 3, p. 537-551 15 p., 9340399.

Research output: Contribution to journal › Article › peer-review

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Exploiting linear interpolation of variational autoencoders for satisfying preferences in evolutionary design optimization

Saha, S., Minku, L. L., Yao, X., Senhoff, B. & Menzel, S., 9 Aug 2021, 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, p. 1767-1776 10 p. 9504772. (Congress on Evolutionary Computation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Interpreting node embedding with text-labeled graphs

Serra, G., Xu, Z., Niepert, M., Lawrence, C., Tiňo, P. & Yao, X., 20 Sept 2021, 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-8 8 p. 9533692. (International Joint Conference on Neural Networks (IJCNN)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Quantifying the generative capabilities of variational autoencoders for 3D car point clouds

Saha, S., Menzel, S., Minku, L. L., Yao, X., Sendhoff, B. & Wollstadt, P., 5 Jan 2021, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Computer Society Press, p. 1469-1477 9 p. 9308513. (IEEE Symposium Series on Computational Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Surrogate models in evolutionary single-objective optimization: a new taxonomy and experimental study

Tong, H., Huang, C., Minku, L. & Yao, X., 8 Mar 2021, (E-pub ahead of print) In: Information Sciences. 562, p. 414-437

Research output: Contribution to journal › Article › peer-review

Open Access

Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression

He, Y., Li, H., Wang, S. & Yao, X., 21 Mar 2021, In: Neurocomputing. 430, p. 121-137 17 p.

Research output: Contribution to journal › Article › peer-review

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1 Citation (Scopus)

328 Downloads (Pure)

2020

A task-oriented heuristic for repairing infeasible solutions to overlapping coalition structure generation

Zhang, G., Su, Z., Li, M., Qi, M., Jiang, J. & Yao, X., Mar 2020, In: IEEE Transactions on Systems, Man and Cybernetics: Systems. 50, 3, p. 785-801 17 p.

Research output: Contribution to journal › Article › peer-review

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1 Citation (Scopus)

197 Downloads (Pure)

Computational study on effectiveness of knowledge transfer in dynamic multi-objective optimisation

Ruan, G., Minku, L., Menzel, S., Sendhoff, B. & Yao, X., 3 Sept 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE Computer Society Press, p. 1-8 8 p. 9185907

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Dynamic multi-objective optimization of the travelling thief problem

Herring, D., Kirley, M. & Yao, X., 2020

Research output: Other contribution

Finding the largest successful coalition under the strict goal preferences of agents

Su, Z., Zhang, G., Yue, F., He, J., Li, M., Li, B. & Yao, X., 2020, In: ACM Transactions on Autonomous and Adaptive Systems . 14, 4

Research output: Contribution to journal › Article › peer-review

Improving sampling in evolution strategies through mixture-based distributions built from past problem instances

Friess, S., Tino, P., Menzel, S., Sendhoff, B. & Yao, X., 31 Aug 2020, Parallel Problem Solving from Nature – PPSN XVI. Springer, p. 583-596 14 p. (Lecture Notes in Computer Science; vol. 12269).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kernel truncated regression representation for robust subspace clustering

Zhen, L., Peng, D., Wang, W. & Yao, X., Jul 2020, In: Information Sciences. 524, p. 59-76 18 p.

Research output: Contribution to journal › Article › peer-review

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5 Citations (Scopus)

179 Downloads (Pure)

Many-objective test suite generation for software product lines

Hierons, R. M., Li, M., Liu, X., Parejo, J. A., Segura, S. & Yao, X., 31 Jan 2020, In: ACM Transactions on Software Engineering and Methodology. 29, 1, 45 p., 2.

Research output: Contribution to journal › Article › peer-review

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Objective reduction for visualising many-objective solution sets

Zhen, L., Li, M., Peng, D. & Yao, X., 2020, In: Information Sciences. 512

Research output: Contribution to journal › Article › peer-review

Optimal evolutionary optimization hyper-parameters to mimic human user behavior

Saha, S., Rios, T., Minku, L., Yao, X., Xu, Z., Sendhoff, B. & Menzel, S., 20 Feb 2020, 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019. IEEE Computer Society Press, p. 858-866 9 p. 9002958. (IEEE Symposium Series on Computational Intelligence (SSCI)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Responsive Multi-population Models for the Dynamic Travelling Thief Problem

Herring, D., Yao, X. & Kirley, M., 1 Dec 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Synergizing domain expertise with self-awareness in software systems: a patternized architecture guideline

Chen, T., Bahsoon, R. & Yao, X., Jul 2020, In: Proceedings of the IEEE. 108, 7, p. 1094-1126 33 p., 9089006.

Research output: Contribution to journal › Article › peer-review

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1 Citation (Scopus)

195 Downloads (Pure)

Xin Yao

Research output

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