Chen Xu

According to our database, Chen Xu authored at least 23 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning.

Yuhang Wang, Bin Zou, Jie Xu, Chen Xu, Yuan Yan Tang

Neural Networks, 2025

2024

Poisson tensor completion with transformed correlated total variation regularization.

Qingrong Feng, Jingyao Hou, Weichao Kong, Chen Xu, Jianjun Wang

Pattern Recognit., 2024

Hybrid learning based on Fisher linear discriminant.

Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You

Inf. Sci., 2024

2023

Generalization capacity of multi-class SVM based on Markovian resampling.

Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang

Pattern Recognit., October, 2023

One-bit compressed sensing via total variation minimization method.

Yuxiang Zhong, Chen Xu, Bin Zhang, Jingyao Hou, Jianjun Wang

Signal Process., June, 2023

Learning Performance of Weighted Distributed Learning With Support Vector Machines.

Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang

IEEE Trans. Cybern., 2023

2022

Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising.

Xiangyong Cao, Xueyang Fu, Chen Xu, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 2022

Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data.

Zhiming Xia, Yang Chen, Chen Xu

IEEE Trans. Cybern., 2022

2021

Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information.

Feng Zhang, Jianjun Wang, Wendong Wang, Chen Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning performance of LapSVM based on Markov subsampling.

Tieliang Gong, Hong Chen, Chen Xu

Neurocomputing, 2021

2020

SVM-Boosting based on Markov resampling: Theory and algorithm.

Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang

Neural Networks, 2020

Modal additive models with data-driven structure identification.

Tieliang Gong, Chen Xu, Hong Chen

Math. Found. Comput., 2020

Distributed Feature Screening via Componentwise Debiasing.

Xingxiang Li, Runze Li, Zhiming Xia, Chen Xu

J. Mach. Learn. Res., 2020

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery.

Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Gradient-Based Markov Subsampling.

Tieliang Gong, Quanhan Xi, Chen Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

New Incremental Learning Algorithm With Support Vector Machines.

Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You

IEEE Trans. Syst. Man Cybern. Syst., 2019

Kernelized Elastic Net Regularization based on Markov selective sampling.

Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu

Knowl. Based Syst., 2019

2018

k-Times Markov Sampling for SVMC.

Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You

IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.

Jian Wang, Chen Xu, Xifeng Yang, Jacek M. Zurada

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Editorial learning for multimodal data.

Xiaofeng Zhu, Xudong Luo, Chen Xu

Neurocomputing, 2017

2016

On the Feasibility of Distributed Kernel Regression for Big Data.

Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2016

Learning for medical imaging.

Xiaofeng Zhu, Feng Lu, Chen Xu, Rongrong Ji

Neurocomputing, 2016

2005

A New Approach for Regression: Visual Regression Approach.

Deyu Meng, Chen Xu, Wenfeng Jing

Proceedings of the Computational Intelligence and Security, International Conference, 2005