7 citations · 16 across the 6 of their papers we have counts for
6 papers
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Jin Chen, Defu Lian, Yucheng Li +3
Recommender retrievers aim to rapidly retrieve a fraction of items from the entire item corpus when a user query requests, with the representative two-tower model trained with the…
Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks
Pei Li, Lingyi Wang, Wei Wu +3
In this paper, we jointly design the power control and position dispatch for Multi-unmanned aerial vehicle (UAV)-enabled communication in device-to-device (D2D) networks. Our objec…
Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems
Liuhang Wang, Nir Shlezinger, George C. Alexandropoulos +3
Reconfigurable Intelligent Surfaces (RISs) are regarded as a key technology for future wireless communications, enabling programmable radio propagation environments. However, the p…
Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges
Wei Wu, Fuhui Zhou, Baoyun Wang +3
Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to be promising in the sixth generation wireless communication networks due to their wide application senso…
Task-Based Graph Signal Compression
Pei Li, Nir Shlezinger, Haiyang Zhang +2
Graph signals arise in various applications, ranging from sensor networks to social media data. The high-dimensional nature of these signals implies that they often need to be comp…
Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks
Wei Wu, Fuhui Zhou, Rose Qingyang Hu +1
Mobile edge computing (MEC) has been envisaged as a promising technique in the next-generation wireless networks. In order to improve the security of computation tasks offloading a…