Peiye Liu

Orcid: 0000-0002-6568-5261

According to our database1, Peiye Liu authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021
Characterization and Modeling of the User Blockage for 5G Handset Antennas.
IEEE Trans. Instrum. Meas., 2021

2020
TG-SPP: A One-Transmission-Gate Short-Path Padding for Wide-Voltage-Range Resilient Circuits in 28-nm CMOS.
IEEE J. Solid State Circuits, 2020

KTAN: Knowledge Transfer Adversarial Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Recursive Binary Neural Network Training Model for Efficient Usage of On-Chip Memory.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

SMP Challenge: An Overview of Social Media Prediction Challenge 2019.
CoRR, 2019

MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning.
CoRR, 2019

SMP Challenge: An Overview of Social Media Prediction Challenge 2019.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

FPGA-based Acceleration of Binary Neural Network Training with Minimized Off-Chip Memory Access.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

2018
KTAN: Knowledge Transfer Adversarial Network.
CoRR, 2018

Short-path Padding Method for Timing Error Resilient Circuits based on Transmission Gates Insertion.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

2017
Weighted sequence loss based spatial-temporal deep learning framework for human body orientation estimation.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Query from Sketch: A Common Subgraph Correspondence Mining Framework.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017


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