output
20162026
most citedAlbumentations: fast and flexible image augmentations

2.3k citations

Showing 2020 · eess.SPShow all

7 papers · 2 filters

eess.SP2020★ 23 cited

Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment

Haoran Sun, Wenqiang Pu, Minghe Zhu +3

There has been a growing interest in developing data-driven and in particular deep neural network (DNN) based methods for modern communication tasks. For a few popular tasks such a…

eess.SP2020

Pushing The Limit of Type I Codebook For FDD Massive MIMO Beamforming: A Channel Covariance Reconstruction Approach

Kai Li, Ying Li, Lei Cheng +2

There is a fundamental trade-off between the channel representation resolution of codebooks and the overheads of feedback communications in the fifth generation new radio (5G NR) f…

eess.SP2020★ 1 cited

Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning

Dan Liu, Shuai Wang, Zhigang Wen +3

Edge learning (EL), which uses edge computing as a platform to execute machine learning algorithms, is able to fully exploit the massive sensing data generated by Internet of Thing…

eess.SP2020★ 58 cited

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

Zhaohui Yang, Mingzhe Chen, Walid Saad +4

This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multip…

eess.SP2020

A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design

Lei Cheng, Liang Liu, Shuguang Cui

This paper studies the massive machine-type communications (mMTC) for the future Internet of Things (IoT) applications, where a large number of IoT devices exist in the network and…

eess.SP2020★ 5 cited

Optimal Feature Manipulation Attacks Against Linear Regression

Fuwei Li, Lifeng Lai, Shuguang Cui

In this paper, we investigate how to manipulate the coefficients obtained via linear regression by adding carefully designed poisoning data points to the dataset or modify the orig…

eess.SP2020★ 63 cited

Hypergraph Spectral Analysis and Processing in 3D Point Cloud

Songyang Zhang, Shuguang Cui, Zhi Ding

Along with increasingly popular virtual reality applications, the three-dimensional (3D) point cloud has become a fundamental data structure to characterize 3D objects and surround…