← Search

Xiangyun Zhou

2 accepted papers

2026

IQ-LUT: INTERPOLATED AND QUANTIZED LUT FOR EFFICIENT IMAGE SUPER-RESOLUTION

ICASSP 2026poster

Lookup table (LUT) methods demonstrate considerable potential in accelerating image super-resolution inference. However, pursuing higher image quality through larger receptive fields and bit-depth triggers exponential growth in the LUT's index space, creating a storage bottleneck that limits deploym…

Cited by 0SourcePDFScholar
2022

Deep Learning Based Passive Beamforming for IRS-Assisted Monostatic Backscatter Systems

ICASSP 2022accepted

Intelligent reflecting surfaces (IRS) can improve the performance of backscatter communication systems by employing reconfigurable phase shifts (or passive beamforming) to favorably configure the wireless propagation medium. However, the design of optimal IRS phase shifts requires channel state info…

Cited by 0SourceScholar