Mr Ruiyu Wang
- Research Associate (Autonomous Systems & Connectivity)
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O'Rourke, B. , Zhao, Q. , Dayán-Fernandez, A. , Dickson, E., Wang, R., Wang, M., Zhang, L. and Imran, M. (2024) Integrated geospatial methods for multilingual cities: Combining GPS, electronically activated recorder, and map-based ethnographic interviews. Research Methods in Applied Linguistics, 3(3), 100147. (doi: 10.1016/j.rmal.2024.100147)
Wang, R., Sun, Y. , Zhang, C., Yang, B., Imran, M. and Zhang, L. (2024) A novel handover scheme for millimeter wave network: an approach of integrating reinforcement learning and optimization. Digital Communications and Networks, 10(5), pp. 1493-1502. (doi: 10.1016/j.dcan.2023.08.002)
Wang, R., Dong, Z., Sun, Y. , Sambo, Y. , Zhang, L. and Imran, M. (2023) Intelligent Beam Management for Millimeter-Wave Cellular Networks in IoT System. In: 9th IEEE World Forum on Internet of Things (IEEE WFIoT2023), Aveiro, Portugal, 12-27 October 2023, (Accepted for Publication)
Zhang, B., Wang, R., Xu, H. , Zhang, X. and Zhang, L. (2022) DISTERNING: distance estimation using machine learning approach for COVID-19 contact tracing and beyond. IEEE Journal on Selected Areas in Communications, 40(11), pp. 3207-3223. (doi: 10.1109/JSAC.2022.3214277)
Weng, S., Zhang, L. , Feng, D., Feng, C., Wang, R., Valente Klaine, P. and Imran, M. A. (2022) Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. In: IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, 18-23 Jul 2022, ISBN 9781728186719 (doi: 10.1109/IJCNN55064.2022.9889795)
O'Rourke, B. , Zhao, Q. , Dayán-Fernandez, A. , Dickson, E., Wang, R., Wang, M., Zhang, L. and Imran, M. (2024) Integrated geospatial methods for multilingual cities: Combining GPS, electronically activated recorder, and map-based ethnographic interviews. Research Methods in Applied Linguistics, 3(3), 100147. (doi: 10.1016/j.rmal.2024.100147)
Wang, R., Sun, Y. , Zhang, C., Yang, B., Imran, M. and Zhang, L. (2024) A novel handover scheme for millimeter wave network: an approach of integrating reinforcement learning and optimization. Digital Communications and Networks, 10(5), pp. 1493-1502. (doi: 10.1016/j.dcan.2023.08.002)
Zhang, B., Wang, R., Xu, H. , Zhang, X. and Zhang, L. (2022) DISTERNING: distance estimation using machine learning approach for COVID-19 contact tracing and beyond. IEEE Journal on Selected Areas in Communications, 40(11), pp. 3207-3223. (doi: 10.1109/JSAC.2022.3214277)
Wang, R., Dong, Z., Sun, Y. , Sambo, Y. , Zhang, L. and Imran, M. (2023) Intelligent Beam Management for Millimeter-Wave Cellular Networks in IoT System. In: 9th IEEE World Forum on Internet of Things (IEEE WFIoT2023), Aveiro, Portugal, 12-27 October 2023, (Accepted for Publication)
Weng, S., Zhang, L. , Feng, D., Feng, C., Wang, R., Valente Klaine, P. and Imran, M. A. (2022) Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. In: IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, 18-23 Jul 2022, ISBN 9781728186719 (doi: 10.1109/IJCNN55064.2022.9889795)