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ORCIDJie Hu 0019
Person information
- affiliation: Institute of Software, Chinese Academy of Sciences, China
- affiliation: University of Chinese Academy of Sciences, China
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001
![[0000-0002-5157-0172]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5157-0172")
— University of Electronic Science and Technology of China, Chengdu (and 1 more) - Jie Hu 0002 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China (and 1 more)
- Jie Hu 0003 — Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing
- Jie Hu 0004 — Shenzhen University, Shenzhen Key Laboratory of Spatial Information Smarting Sensing and Services, China
- Jie Hu 0005 — University of California, Irvine, CA, USA
- Jie Hu 0006 — Hubei University, Wuhan, China (and 2 more)
- Jie Hu 0007 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Jie Hu 0008 — State University of New York at Buffalo, NY, USA
- Jie Hu 0009 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China (and 1 more)
- Jie Hu 0010 — Tohoku University, Sendai, Japan
- Jie Hu 0011 — The University of Texas at Dallas, Richardson, TX, USA
- Jie Hu 0012 — Sun Yat-Sen University, Guangzhou, China
- Jie Hu 0013 — China University of Geosciences, Wuhan, China (and 1 more)
- Jie Hu 0014 — Zheijiang University, College of Electrical Engineering, Hangzhou, China
- Jie Hu 0015 — Fudan University, ZhongShan Hospital, Shanghai, China
- Jie Hu 0016 — Guizhou University, Guiyang, China (and 2 more)
- Jie Hu 0017 — University of Southampton, UK
- Jie Hu 0018 — Xiamen University, School of Information Science and Engineering, China
- Jie Hu 0020 — Zhejiang University, School of International Studies, Department of Linguistics, Hangzhou, China
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2020 – today
- 2023
[c11]Dengsheng Chen, Vince Junkai Tan, Zhilin Lu, Enhua Wu, Jie Hu:
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework. CVPR Workshops 2023: 5018-5026- [c10]Dengsheng Chen, Jie Hu, Vince Junkai Tan, Xiaoming Wei, Enhua Wu:
Elastic Aggregation for Federated Optimization. CVPR 2023: 12187-12197 - [c9]Jie Hu, Mengze Zeng, Enhua Wu:
Bag of Tricks with Quantized Convolutional Neural Networks for Image Classification. ICASSP 2023: 1-5 - [c8]Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu:
Rethinking skip connection model as a learnable Markov chain. ICLR 2023 - [i8]Jie Hu, Mengze Zeng, Enhua Wu:
Bag of Tricks with Quantized Convolutional Neural Networks for image classification. CoRR abs/2303.07080 (2023) - 2022
- [c7]Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Networks. AAAI 2022: 942-950 - [i7]Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu:
Rethinking skip connection model as a learnable Markov chain. CoRR abs/2209.15278 (2022) - 2021
- [c6]Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu:
Learning the Superpixel in a Non-Iterative and Lifelong Manner. CVPR 2021: 1225-1234 - [c5]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CVPR 2021: 12321-12330 - [c4]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. ICCV 2021: 12272-12281 - [i6]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CoRR abs/2103.06255 (2021) - [i5]Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu:
Learning the Superpixel in a Non-iterative and Lifelong Manner. CoRR abs/2103.10681 (2021) - [i4]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. CoRR abs/2108.02451 (2021) - [i3]Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Network. CoRR abs/2112.10149 (2021) - 2020
- [j1]Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu:
Squeeze-and-Excitation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 2011-2023 (2020)
2010 – 2019
- 2018
- [c3]Jie Hu, Li Shen, Gang Sun:
Squeeze-and-Excitation Networks. CVPR 2018: 7132-7141 - [c2]Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi:
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. NeurIPS 2018: 9423-9433 - [i2]Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi:
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. CoRR abs/1810.12348 (2018) - 2017
- [i1]Jie Hu, Li Shen, Gang Sun:
Squeeze-and-Excitation Networks. CoRR abs/1709.01507 (2017) - 2016
- [c1]Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao:
A Key Volume Mining Deep Framework for Action Recognition. CVPR 2016: 1991-1999
Coauthor Index
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