| AIS data driven general vessel destination prediction: A random forest based approach C Zhang, J Bin, W Wang, X Peng, R Wang, R Halldearn, Z Liu Transportation Research Part C: Emerging Technologies 118, 102729, 2020 | 83 | 2020 |
| An adaptive federated learning system for community building energy load forecasting and anomaly prediction R Wang, H Yun, R Rayhana, J Bin, C Zhang, OE Herrera, Z Liu, W Mérida Energy and Buildings 295, 113215, 2023 | 22 | 2023 |
| Multi-task deep learning for large-scale buildings energy management R Wang, R Rayhana, M Gholami, OE Herrera, Z Liu, W Mérida Energy and Buildings 307, 113964, 2024 | 4 | 2024 |
| Personalized federated learning for buildings energy consumption forecasting R Wang, L Bai, R Rayhana, Z Liu Energy and Buildings 323, 114762, 2024 | 3 | 2024 |
| WaveCLR: Contrastive learning of guided wave representations for composite damage identification H Yun, R Wang, R Rayhana, S Pant, M Genest, Z Liu IEEE Transactions on Instrumentation and Measurement, 2024 | 2 | 2024 |
| Efficient community electricity load forecasting with transformer and federated learning R Wang, Z Liu NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The …, 2023 | 2 | 2023 |
| An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery J Bin, R Zhang, R Wang, Y Cao, Y Zheng, E Blasch, Z Liu Sensors 22 (19), 7167, 2022 | 2 | 2022 |
| Efficient community building energy load forecasting through federated hypernetwork R Wang,R Rayhana, L Bai, Z Liu NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The …, 2024 | 1 | 2024 |
| Multi-server federated learning for buildings energy prediction with wind speed R Wang, Y Fan, H Yun, R Rayhana, L Bai, Z Liu IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
| Federated autoML learning for community building energy prediction R Wang, L Bai, R Rayhana, Z Liu NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The …, 2024 | | 2024 |