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ORCIDChen Xu 0007
Person information
- affiliation: University of Ottawa, Department of Mathematics and Statistics, ON, Canada
- affiliation (PhD 2012): University of British Columbia, Vancouver, BC, Canada
Other persons with the same name
- Chen Xu — disambiguation page
- Chen Xu 0001 — East China Normal University, Shanghai, China (and 1 more)
- Chen Xu 0002
![[0000-0001-5041-8796]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5041-8796")
— North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China (and 1 more) - Chen Xu 0003 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China
- Chen Xu 0004 — Shenzhen University, College of Mathematics and Statistics, China (and 2 more)
- Chen Xu 0005 — Nantong University, School of Electronics and Information, China
- Chen Xu 0006 — Huawei Technologies, Wireless Technology Lab, Hangzhou, China
- Chen Xu 0008 — Northeastern University, NLP Lab, School of Computer Science and Engineering, Shenyang, China
- Chen Xu 0009 — Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Institute of Automation, Wuxi, China (and 1 more)
- Chen Xu 0010 — Renmin University of China, Beijing, China
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2020 – today
- 2024
[j19]Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You:
Hybrid learning based on Fisher linear discriminant. Inf. Sci. 667: 120465 (2024)- [j18]Qingrong Feng, Jingyao Hou, Weichao Kong, Chen Xu, Jianjun Wang:
Poisson tensor completion with transformed correlated total variation regularization. Pattern Recognit. 156: 110735 (2024) - 2023
- [j17]Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang:
Generalization capacity of multi-class SVM based on Markovian resampling. Pattern Recognit. 142: 109720 (2023) - [j16]Yuxiang Zhong, Chen Xu, Bin Zhang, Jingyao Hou, Jianjun Wang:
One-bit compressed sensing via total variation minimization method. Signal Process. 207: 108939 (2023) - [j15]Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang:
Learning Performance of Weighted Distributed Learning With Support Vector Machines. IEEE Trans. Cybern. 53(7): 4630-4641 (2023) - 2022
- [j14]Zhiming Xia, Yang Chen, Chen Xu:
Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data. IEEE Trans. Cybern. 52(10): 11068-11080 (2022) - [j13]Xiangyong Cao, Xueyang Fu, Chen Xu, Deyu Meng:
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j12]Tieliang Gong, Hong Chen, Chen Xu:
Learning performance of LapSVM based on Markov subsampling. Neurocomputing 432: 10-20 (2021) - [j11]Feng Zhang, Jianjun Wang, Wendong Wang, Chen Xu:
Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3492-3507 (2021) - 2020
- [j10]Xingxiang Li, Runze Li, Zhiming Xia, Chen Xu:
Distributed Feature Screening via Componentwise Debiasing. J. Mach. Learn. Res. 21: 24:1-24:32 (2020) - [j9]Tieliang Gong, Chen Xu, Hong Chen:
Modal additive models with data-driven structure identification. Math. Found. Comput. 3(3): 165-183 (2020) - [j8]Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang:
SVM-Boosting based on Markov resampling: Theory and algorithm. Neural Networks 131: 276-290 (2020) - [c3]Tieliang Gong, Quanhan Xi, Chen Xu:
Robust Gradient-Based Markov Subsampling. AAAI 2020: 4004-4011 - [c2]Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen:
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. NeurIPS 2020
2010 – 2019
- 2019
- [j7]Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu:
Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. 163: 57-68 (2019) - [j6]Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You:
New Incremental Learning Algorithm With Support Vector Machines. IEEE Trans. Syst. Man Cybern. Syst. 49(11): 2230-2241 (2019) - 2018
- [j5]Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You:
k-Times Markov Sampling for SVMC. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1328-1341 (2018) - [j4]Jian Wang, Chen Xu, Xifeng Yang, Jacek M. Zurada:
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method. IEEE Trans. Neural Networks Learn. Syst. 29(5): 2012-2024 (2018) - 2017
- [j3]Xiaofeng Zhu, Xudong Luo, Chen Xu:
Editorial learning for multimodal data. Neurocomputing 253: 1-5 (2017) - 2016
- [j2]Xiaofeng Zhu, Feng Lu, Chen Xu, Rongrong Ji:
Learning for medical imaging. Neurocomputing 195: 1-5 (2016) - [j1]Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu:
On the Feasibility of Distributed Kernel Regression for Big Data. IEEE Trans. Knowl. Data Eng. 28(11): 3041-3052 (2016)
2000 – 2009
- 2005
- [c1]Deyu Meng, Chen Xu, Wenfeng Jing:
A New Approach for Regression: Visual Regression Approach. CIS (1) 2005: 139-144
Coauthor Index
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