activity
20172021
most citedFaster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning

10 citations · 12 across the 6 of their papers we have counts for

collaborators

8 papers

cs.IT2021

Energy-Efficient UAV Multicasting with Simultaneous FSO Backhaul and Power Transfer

Yue Ling Che, Weibin Long, Sheng Luo +2

This letter studies an unmanned aerial vehicle (UAV) aided multicasting (MC) system, which is enabled by simultaneous free space optics (FSO) backhaul and power transfer. The UAV a…

cs.NI2019

Artificial Intelligence-Enabled Intelligent 6G Networks

Helin Yang, Arokiaswami Alphones, Zehui Xiong +3

With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projecti…

cs.AI201910 cited

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning

Haodi Zhang, Zihang Gao, Yi Zhou +3

Deep reinforcement learning has been successfully used in many dynamic decision making domains, especially those with very large state spaces. However, it is also well-known that d…

cs.LG2019

Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems

Ahmed B. Zaky, Joshua Zhexue Huang, KaishunWu +1

Spectrum management and resource allocation (RA) problems are challenging and critical in a vast number of research areas such as wireless communications and computer networks. The…

cs.NI2019

Enhanced Energy-Efficient Downlink Resource Allocation in Green Non-Orthogonal Multiple Access Systems

Rukhsana Ruby, Shuxin Zhong, Derrick Wing Kwan Ng +2

Despite numerous advantages, non-orthogonal multiple access (NOMA) technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of…

cs.SE2019

Detecting and Diagnosing Energy Issues for Mobile Applications

Xueliang Li, Yuming Yang, Yepang liu +2

Energy efficiency is an important criterion to judge the quality of mobile apps, but one third of our randomly sampled apps suffer from energy issues that can quickly drain battery…