Jie Hu

Orcid: 0000-0002-5150-1003

Affiliations:
  • Institute of Software, Chinese Academy of Sciences, China
  • University of Chinese Academy of Sciences, China


According to our database1, Jie Hu authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Rethinking skip connection model as a learnable Markov chain.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bag of Tricks with Quantized Convolutional Neural Networks for Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Elastic Aggregation for Federated Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Elastic-Link for Binarized Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Elastic-Link for Binarized Neural Network.
CoRR, 2021

Unifying Nonlocal Blocks for Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning the Superpixel in a Non-Iterative and Lifelong Manner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Involution: Inverting the Inherence of Convolution for Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Squeeze-and-Excitation Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Squeeze-and-Excitation Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
A Key Volume Mining Deep Framework for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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