PhD students Mr ZHAO Xiaopeng and Ms PAN Qingrui, along with Postdoctoral Fellow Dr AN Zhenlin from the Department of Computing at PolyU, won the Best Paper Award (Runner-Up) at the 29th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2023) for their published paper titled “NeRF2: Neural Radio-Frequency Radiance Fields.” Supervised by Dr YANG Lei, Associate Professor of the Department of Computing, the team introduces the NeRF2 model designed to predict the propagation of radio frequency signals in complex environments. The effectiveness of the model was illustrated in applications such as indoor localisation and 5G multiple-input and multiple-output (MIMO) technology.

Led by Dr YANG, another team of students, including PhD students Mr ZHAO, Mr TONG Jingyu and Mr LIAO Sicong, and Postdoctoral Fellow Dr AN, received a Graduate Award at the same conference for a demo titled “Radio Frequency Neural Networks for Wireless Sensing.” The demo introduces an innovative architecture called Radio Frequency Neural Network (RFNN), a physical in-sensor neural network that leverages a group of transmissive intelligent surfaces (i.e., metasurfaces) to mimic the computations of a fully connected neural network with ultra-low power consumption. This research holds promise for optimising the sensing capabilities of IoT devices.

ACM MobiCom 2023 was held in Madrid, Spain, from 2 to 6 October. It is a global conference focusing on mobile computing and wireless networking, including 5G networks and IoT.

Zhao, X., An, Z., Pan, Q., & Yang, L. (2023). NeRF2: Neural Radio- Frequency Radiance Fields. Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 1–15. https://doi. org/10.1145/3570361.3592527