Peng Chen

Orcid: 0000-0001-5859-6829

Affiliations:
  • University of Adelaide, School of Computer Science, SA, Australia
  • Monash University, Faculty of Information Technology, Melbourne, Australia
  • University of Science and Technology of China, China (PhD)


According to our database1, Peng Chen authored at least 11 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

2022
RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation.
IEEE Trans. Circuits Syst. Video Technol., 2022

ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Binary Neural Networks for Image Recognition.
Int. J. Comput. Vis., 2022

2021
Mesa: A Memory-saving Training Framework for Transformers.
CoRR, 2021

ABS: Automatic Bit Sharing for Model Compression.
CoRR, 2021

Fully Quantized Image Super-Resolution Networks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

FATNN: Fast and Accurate Ternary Neural Networks<sup>*</sup>.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AQD: Towards Accurate Quantized Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SA-BNN: State-Aware Binary Neural Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
FATNN: Fast and Accurate Ternary Neural Networks.
CoRR, 2020


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