activity
20092023
most citedLearning to Optimize: Training Deep Neural Networks for Wireless Resource Management

895 citations · 2.6k across the 43 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

eess.SP2020

Learning-Based Massive Beamforming

Siyuan Lu, Shengjie Zhao, Qingjiang Shi

Developing resource allocation algorithms with strong real-time and high efficiency has been an imperative topic in wireless networks. Conventional optimization-based iterative res…

cs.LG2020★ 3 cited

FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework

Pei Fang, Zhendong Cai, Hui Chen +1

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques and is a key step to improve the performance of machine le…

eess.SP2020★ 2 cited

Joint Channel Assignment and Power Allocation for Multi-UAV Communication

Lingyun Zhou, Xihan Chen, Mingyi Hong +2

Unmanned aerial vehicle (UAV) swarm has emerged as a promising novel paradigm to achieve better coverage and higher capacity for future wireless network by exploiting the more favo…

cs.IT2020★ 7 cited

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

Qiyu Hu, Yunlong Cai, Qingjiang Shi +3

Optimization theory assisted algorithms have received great attention for precoding design in multiuser multiple-input multiple-output (MU-MIMO) systems. Although the resultant opt…

cs.MM2020★ 17 cited

Human-Perception-Oriented Pseudo Analog Video Transmissions with Deep Learning

Xiao-Wei Tang, Xin-Lin Huang, Fei Hu +1

Recently, pseudo analog transmission has gained increasing attentions due to its ability to alleviate the cliff effect in video multicast scenarios. The existing pseudo analog syst…

cs.LG2020★ 144 cited

SR2CNN: Zero-Shot Learning for Signal Recognition

Yihong Dong, Xiaohan Jiang, Huaji Zhou +2

Signal recognition is one of significant and challenging tasks in the signal processing and communications field. It is often a common situation that there's no training data acces…