59 citations · 199 across the 13 of their papers we have counts for
13 papers
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images
Siyan Li, Yue Xiao, Yuhang Zhang +2
It is a challenging problem to detect and recognize targets on complex large-scene Synthetic Aperture Radar (SAR) images. Recently developed deep learning algorithms can automatica…
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties
Lei Chu, Fei Wen, Robert Caiming Qiu
Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capa…
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs
Lei Chu, Ling Pei, Husheng Li +1
This paper develops a new deep neural network optimized equalization framework for massive multiple input multiple output orthogonal frequency division multiplexing (MIMOOFDM) syst…
Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space
Xing He, Lei Chu, Robert Qiu +2
The Jacobian matrix is the core part of power flow analysis, which is the basis for power system planning and operations. This paper estimates the Jacobian matrix in high dimension…
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
Heejin Park, Shuang Zhai, Long Lu +1
While it is compelling to process large streams of IoT data on the cloud edge, doing so exposes the data to a sophisticated, vulnerable software stack on the edge and hence securit…
Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs
Lei Chu, Fei Wen, Lily Li +1
The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-outp…