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ORCIDLin Xu 0001
Person information
- affiliation: Shanghai Em-Data Technology Company, Ltd., China
- affiliation (former): New York University Abu Dhabi, UAE
- affiliation (PhD 2018): Xi'an Jiaotong University, China
Other persons with the same name
- Lin Xu — disambiguation page
- Lin Xu 0002
![[0000-0002-5746-1225]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5746-1225")
— Army Medical University, College of Biomedical Engineering, Chongqing, China - Lin Xu 0003 — Chengdu University of Traditional Chinese Medicine, School of Intelligent Medicine, China
- Lin Xu 0004 — University of Adelaide, School of Computer & Mathematical Sciences, Australia
- Lin Xu 0005 — University of Texas Southwestern Medical Center, School of Public Health, Dallas, TX, USA
- Lin Xu 0006 — ShanghaiTech University, School of Information Science and Technology, China (and 1 more)
- Lin Xu 0007 — Anhui Normal University, School of Mathematics and Computer Science, Wuhu, China
- Lin Xu 0008 — Guangdong Pharmaceutical University, First Clinical Medicine School, Guangzhou, China (and 1 more)
- Lin Xu 0009 — Sichuan Electric Power Company, Sichuan Electric Power Research Institute, Chengdu, China (and 1 more)
- Lin Xu 0010 — East China Normal University, MoE Engineering Research Center of Software/Hardware Co-Design Technology and Application, Shanghai, China
- Lin Xu 0011 — Wuhan University of Technology, China
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2020 – today
- 2026
[j12]Zelin Yang, Lin Xu, Shiyang Yan, Haixia Bi, Fan Li:
IDEAL: Independent domain embedding augmentation learning. Pattern Recognit. 170: 112024 (2026)- 2022
- [j11]Shiyang Yan, Jianan Zhao, Lin Xu:
Adaptive multi-task learning for cross domain and modal person re-identification. Neurocomputing 486: 123-134 (2022) - [j10]Jing Yao, Danfeng Hong, Lin Xu, Deyu Meng, Jocelyn Chanussot, Zongben Xu:
Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j9]Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan:
Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks. IEEE Trans. Netw. Sci. Eng. 9(1): 161-170 (2022) - [c4]Yunlong Meng, Lifan Zhao, Lin Xu:
Unsupervised Image-to-Image Translation with Patch Pyramid Dual Contrastive Learning for Cross Domain Object Detection. ICME 2022: 1-6 - 2021
- [c3]Jianan Zhao, Fengliang Qi, Guangyu Ren, Lin Xu:
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification. CVPR 2021: 2225-2235 - [c2]Yufei Wei, Yao Xiao, Yibo Guo, Shichao Liu, Lin Xu:
LPCC-Net: RGB Guided Local Point Cloud Completion for Outdoor 3D Object Detection. ICME 2021: 1-6 - 2020
- [j8]Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. IEEE Trans. Image Process. 29: 6601-6614 (2020) - [i6]Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. CoRR abs/2008.11014 (2020)
2010 – 2019
- 2018
- [j7]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. IEEE Trans. Cybern. 48(3): 955-966 (2018) - [j6]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. IEEE Trans. Image Process. 27(5): 2354-2367 (2018) - 2017
- [j5]Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu:
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing 226: 90-100 (2017) - [j4]Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu:
Shrinkage Degree in L2-Rescale Boosting for Regression. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1851-1864 (2017) - [c1]Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu:
Polsar image classification based on three-dimensional wavelet texture features and Markov random field. IGARSS 2017: 3921-3928 - [i5]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. CoRR abs/1705.00727 (2017) - 2016
- [j3]Lin Xu, Shaobo Lin, Zongben Xu:
Learning capability of the truncated greedy algorithm. Sci. China Inf. Sci. 59(5): 052103:1-052103:15 (2016) - [j2]Zhihai Yang, Lin Xu, Zhongmin Cai, Zongben Xu:
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. Knowl. Based Syst. 100: 74-88 (2016) - [i4]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. CoRR abs/1604.05993 (2016) - 2015
- [j1]Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu:
Jackson-type inequalities for spherical neural networks with doubling weights. Neural Networks 63: 57-65 (2015) - [i3]Shaobo Lin, Yao Wang, Lin Xu:
Re-scale boosting for regression and classification. CoRR abs/1505.01371 (2015) - [i2]Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu:
Shrinkage degree in L2-re-scale boosting for regression. CoRR abs/1505.04369 (2015) - 2014
- [i1]Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu:
Greedy metrics in orthogonal greedy learning. CoRR abs/1411.3553 (2014)
Coauthor Index
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