STAFF PROFILE
Dr. Hui Song
Position:
Research Fellow
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Email:
hui.song@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
1 PhD Completions
- Song, H.,Liu, C.,Jalili, M.,Yu, X.,McTaggart, P. (2023). Ensemble Classification Model for EV Identification from Smart Meter Recordings In: IEEE Transactions on Industrial Informatics, 19, 3274 - 3283
- Al Khafaf, N.,Song, H.,McGrath, B.,Jalili, M. (2023). Identification of low voltage distribution transformer–customer connectivity based on unsupervised learning In: Energy Reports, 9, 72 - 79
- Song, H.,Al Khafaf, N.,Kamoona, A.,SAJJADI, S.,Moradi Amani, A.,Jalili, M.,Yu, X.,McTaggart, P. (2023). Multitasking recurrent neural network for photovoltaic power generation prediction In: Energy Reports, 9, 369 - 376
- Qiao, K.,Yu, K.,Qu, B.,Liang, J.,Song, H.,Yue, C. (2022). An Evolutionary Multitasking Optimization Framework for Constrained Multi-objective Optimization Problems In: IEEE Transactions on Evolutionary Computation, 26, 263 - 277
- Qiao, K.,Yu, K.,Qu, B.,Liang, J.,Song, H.,Yue, C.,Lin, H.,Tan, K. (2022). Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multi-objective Optimization In: IEEE Transactions on Evolutionary Computation, 27, 642 - 656
- Liang, J.,Wei, Y.,Qu, B.,Yue, C.,Song, H. (2021). Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification In: Natural Computing, 20, 77 - 87
- Song, H.,Qin, A.,Salim, F. (2020). Evolutionary model construction for electricity consumption prediction In: Neural Computing and Applications, 32, 12155 - 12172
- Liang, J.,Xu, W.,Yue, C.,Yu, K.,Song, H.,Crisalle, O.,Qu, B. (2019). Multimodal multiobjective optimization with differential evolution In: Swarm and Evolutionary Computation, 44, 1028 - 1059
- Hu, Y.,Wang, J.,Liang, J.,Yu, K.,Song, H.,Guo, Q.,Yue, C.,Wang, Y. (2019). A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm In: Science China Information Sciences, 62, 1 - 17
- Wang, Y.,Qu, B.,Liang, J.,Wei, Y.,Yue, C.,Hu, Y.,Song, H. (2019). Two-Stage Decomposition Method Based on Cooperation Coevolution for Feature Selection on High-Dimensional Classification In: IEEE Access, 7, 163191 - 163201
- Project 141: Advanced LV Network Modelling. Funded by: Centre for New Energy Technologies (C4NET) from (2024 to 2025)