Yuwei Wan

Wan, Y., Chen, Z., Liu, Y., Packianather, M. and Wang, R. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 20232023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1-6., (10.1109/CASE56687.2023.10260566)

Xu, M., Zhu, B., Chen, C. and Wan, Y. 2022. On-line recognition of abnormal patterns in bivariate autocorrelated process using random forest. Computers, Materials & Continua 73(1), pp. 1707-1722. (10.32604/cmc.2022.027708)
Wan, Y., Chen, Z., Hu, F., Liu, Y., Packianather, M. and Wang, R. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200 pp. 1174-1183., (10.1016/j.procs.2022.01.317)

Zhang, H., Zhu, B., Pang, K., Chen, C. and Wan, Y. 2021. Identification of abnormal patterns in AR (1) process using CS-SVM. Intelligent Automation and Soft Computing 28(3), pp. 797-810. (10.32604/iasc.2021.017232)

Chen, Z., Wan, Y., Liu, Y. and Valera Medina, A. 2024. A knowledge graph-supported information fusion approach for
multi-faceted conceptual modelling. Information Fusion 101, article number: 101985. (10.1016/j.inffus.2023.101985)
Xu, M., Zhu, B., Chen, C. and Wan, Y. 2022. On-line recognition of abnormal patterns in bivariate autocorrelated process using random forest. Computers, Materials & Continua 73(1), pp. 1707-1722. (10.32604/cmc.2022.027708)
Zhang, H., Zhu, B., Pang, K., Chen, C. and Wan, Y. 2021. Identification of abnormal patterns in AR (1) process using CS-SVM. Intelligent Automation and Soft Computing 28(3), pp. 797-810. (10.32604/iasc.2021.017232)

Wan, Y., Chen, Z., Liu, Y., Packianather, M. and Wang, R. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 20232023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1-6., (10.1109/CASE56687.2023.10260566)
Wan, Y., Chen, Z., Hu, F., Liu, Y., Packianather, M. and Wang, R. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200 pp. 1174-1183., (10.1016/j.procs.2022.01.317)

Research student,