25 citations · 33 across the 37 of their papers we have counts for
5 papers · 1 filter
A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading
Ruihuai Liang, Bo Yang, Zhiwen Yu +3
Computation offloading has become a popular solution to support computationally intensive and latency-sensitive applications by transferring computing tasks to mobile edge servers…
Reconfigurable Intelligent Computational Surfaces: When Wave Propagation Control Meets Computing
Bo Yang, Xuelin Cao, Jindan Xu +6
The envisioned sixth-generation (6G) of wireless networks will involve an intelligent integration of communications and computing, thereby meeting the urgent demands of diverse app…
Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks
Bo Yang, Xuelin Cao, Chongwen Huang +6
In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to l…
Intelligent Spectrum Learning for Wireless Networks with Reconfigurable Intelligent Surfaces
Bo Yang, Xuelin Cao, Chongwen Huang +3
Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, which is capable of reflecting the desired sign…
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach
Bo Yang, Xuelin Cao, Joshua Bassey +3
Multi-access edge computing (MEC) has already shown the potential in enabling mobile devices to bear the computation-intensive applications by offloading some tasks to a nearby acc…