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ORCIDNing Xu 0001
Person information
- affiliation: Amazon Go, USA
- affiliation: Snap Inc. Research, Los Angeles, USA
Other persons with the same name
- Ning Xu — disambiguation page
- Ning Xu 0002
![[0000-0002-0077-751X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0077-751X")
— Hohai University, Changzhou Key College of Internet of Things Engineering, Changzhou, China - Ning Xu 0003 — Tianjin University, Tianjin, China
- Ning Xu 0004 — Northeastern University, Shenyang, China
- Ning Xu 0005 — Samsung Electronics America, Inc. (and 1 more)
- Ning Xu 0006 — Wuhan University of Technology, Wuhan, China
- Ning Xu 0007 — Adobe Research, San Jose, CA, USA (and 2 more)
- Ning Xu 0008 — University of Chinese Academy of Sciences, Beijing, China
- Ning Xu 0009 — Southeast University, School of Computer Science and Engineering, MOE Key Laboratory of Computer Network and Information Integration, Nanjing, China
- Ning Xu 0010 — Snap Inc., Venice, CA, USA
- Ning Xu 0011 — Vanderbilt University, Nashville, TN, USA (and 1 more)
- Ning Xu 0012 — Liaoning Shihua University, Fushun, China (and 1 more)
- Ning Xu 0013 — Bohai University, College of Information Science and Technology, China (and 1 more)
- Ning Xu 0014 — China University of Petroleum-Beijing, Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China
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2020 – today
- 2021
[c7]Paras Maharjan, Ning Xu, Xuan Xu, Yuyan Song, Zhu Li:
DCTResNet: Transform Domain Image Deblocking for Motion Blur Images. VCIP 2021: 1-5
2010 – 2019
- 2019
- [c6]Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch. CVPR 2019: 9059-9068 - [c5]Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas S. Huang:
Slimmable Neural Networks. ICLR (Poster) 2019 - [c4]Paras Maharjan, Li Li, Zhu Li, Ning Xu, Chongyang Ma, Yue Li:
Improving Extreme Low-Light Image Denoising via Residual Learning. ICME 2019: 916-921 - 2018
- [c3]Yue Li, Li Li, Zhu Li, Jianchao Yang, Ning Xu, Dong Liu, Houqiang Li:
A Hybrid Neural Network for Chroma Intra Prediction. ICIP 2018: 1797-1801 - [c2]Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang:
3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) 2018 - [c1]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks Through Weight Sampling. ICML 2018: 2357-2366 - [i7]Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han:
Learning 3D-FilterMap for Deep Convolutional Neural Networks. CoRR abs/1801.01609 (2018) - [i6]Jian Ren, Jianchao Yang, Ning Xu, David J. Foran:
Factorized Adversarial Networks for Unsupervised Domain Adaptation. CoRR abs/1806.01376 (2018) - [i5]Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching. CoRR abs/1806.01940 (2018) - [i4]Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang:
Wide Activation for Efficient and Accurate Image Super-Resolution. CoRR abs/1808.08718 (2018) - [i3]Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, Thomas S. Huang:
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark. CoRR abs/1809.03327 (2018) - [i2]Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas S. Huang:
Slimmable Neural Networks. CoRR abs/1812.08928 (2018) - 2017
- [i1]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks with Weight Sampling. CoRR abs/1711.10067 (2017) - 2014
- [p1]Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang:
Multimedia Classification. Data Classification: Algorithms and Applications 2014: 337-364
Coauthor Index
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