Recent publications
Article
Shen, X, Pan, H, Ge, Z, Chen, W, Song, L & Wang, S 2023, 'Energy-Efficient Multi-Trip Routing for Municipal Solid Waste Collection by Contribution-Based Adaptive Particle Swarm Optimization', Complex System Modeling and Simulation, vol. 3, no. 3, pp. 202-219. https://doi.org/10.23919/CSMS.2023.0008
Jiang, X, Wang, S, Liu, W & Yang, Y 2023, 'Prediction of Traditional Chinese Medicine Prescriptions Based on Multi-label Resampling', Journal of Electronic Business & Digital Economics. https://doi.org/10.1108/JEBDE-04-2023-0009
Han, L, Wang, H & Wang, S 2022, 'A Surrogate-Assisted Evolutionary Algorithm for Space Component Thermal Layout Optimization', Space: Science and Technology (United States), vol. 2022, 9856362. https://doi.org/10.34133/2022/9856362
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
He, Y, Cao, C, Wang, S & Fu, H 2022, 'Nonparametric probabilistic load forecasting based on quantile combination in electrical power systems', Applied Energy, vol. 322, 119507. https://doi.org/10.1016/j.apenergy.2022.119507
Wang, X, Wang, H, Wang, S, Liu, Y, Yu, W, Wang, J, Xu, Q & Li, X 2022, 'Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model', Remote Sensing of the Environment, vol. 272, 112940. https://doi.org/10.1016/j.rse.2022.112940
Guo, Y, Jiao, L, Qu, R, Sun, Z, Wang, S, Wang, S & Liu, F 2021, 'Adaptive fuzzy learning superpixels representation for PolSAR image classification', IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3128908
He, Y, Li, H, Wang, S & Yao, X 2021, 'Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression', Neurocomputing, vol. 430, pp. 121-137. https://doi.org/10.1016/j.neucom.2020.10.093
Conference contribution
Yang, G, Chen, X, Zhang, T, Wang, S & Yang, Y 2023, An Impact Study of Concept Drift in Federated Learning. in 2023 IEEE International Conference on Data Mining (ICDM). IEEE International Conference on Data Mining (ICDM), IEEE, 23rd IEEE International Conference on Data Mining, Shanghai, China, 1/12/23.
Wang, Z & Wang, S 2023, Online automated machine learning for class imbalanced data streams. in 2023 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1-8, International Joint Conference on Neural Networks, Queensland, Australia, 18/06/23. https://doi.org/10.1109/IJCNN54540.2023.10191926
Xiao, C & Wang, S 2023, Triplets Oversampling for Class Imbalanced Federated Datasets. in D Koutra, C Plant, MG Rodriguez, E Baralis & F Bonchi (eds), Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II. 1 edn, Lecture Notes in Computer Science, vol. 14170, Springer, pp. 368–383, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin, Italy, 18/09/23.
Moniz, N, Branco, P, Torgo, L, Japkowicz, N, Wozniak, M & Wang, S 2022, 4th Workshop on Learning with Imbalanced Domains - Theory and Applications: Preface. in N Moniz, P Branco, L Torgo, N Japkowicz, M Wozniak & S Wang (eds), Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 23 September 2022, ECML-PKDD, Grenoble, France. Proceedings of Machine Learning Research, vol. 183, Proceedings of Machine Learning Research, pp. 1-7, 4th International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, 23/09/22. <https://proceedings.mlr.press/v183/moniz22a.html>
Zhang, X, Wang, H, Wang, S, Liu, Y, Yu, W & Li, X 2022, A Machine-learning-based Model to Inverse Internal Solitary Wave Amplitude from Satellite Image. in 2022 Photonics & Electromagnetics Research Symposium (PIERS). Progress in Electromagnetics Research Symposium, Institute of Electrical and Electronics Engineers (IEEE), pp. 269-272, 2022 Photonics and Electromagnetics Research Symposium, PIERS 2022, Hangzhou, China, 25/04/22. https://doi.org/10.1109/PIERS55526.2022.9792885
Xiao, C & Wang, S 2022, An experimental study of class imbalance in federated learning. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660072, 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/SSCI50451.2021.9660072
Moniz, N, Branco, P, Torgo, L, Japkowicz, N, Woźniak, M & Wang, S 2021, 3rd Workshop on Learning with Imbalanced Domains: Preface. in N Moniz, P Branco, L Torgo, N Japkowicz, M Woźniak & S Wang (eds), Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 17 September 2021, ECML-PKDD, Bilbao (Basque Country, Spain). Proceedings of Machine Learning Research, vol. 154, Proceedings of Machine Learning Research, pp. 1-6, 3rd International Workshop on Learning with Imbalanced Domains: Theoryand Applications, LIDTA 2021, Virtual, Online, Spain, 17/09/21. <https://proceedings.mlr.press/v154/moniz21a.html>
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