Chen Xu

24 papers A* 2Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding generalization and consistency of DCNN from weak dependence perspective.
Knowl. Based Syst.
Peipei Dong, Jie Xu, Bin Zou, Yuhan Wang, Chen Xu, Wei Emma Zhang
2025 J jnl
ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning.
Neural Networks
Yuhang Wang, Bin Zou, Jie Xu, Chen Xu, Yuan Yan Tang
2024 J jnl
Hybrid learning based on Fisher linear discriminant.
Inf. Sci.
Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You
2024 J jnl
Poisson tensor completion with transformed correlated total variation regularization.
Pattern Recognit.
Qingrong Feng, Jingyao Hou, Weichao Kong, Chen Xu, Jianjun Wang
2023 J jnl
Generalization capacity of multi-class SVM based on Markovian resampling.
Pattern Recognit.
Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang
2023 J jnl
Learning Performance of Weighted Distributed Learning With Support Vector Machines.
IEEE Trans. Cybern.
Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang
2023 J jnl
One-bit compressed sensing via total variation minimization method.
Signal Process.
Yuxiang Zhong, Chen Xu, Bin Zhang, Jingyao Hou, Jianjun Wang
2022 J jnl
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Xiangyong Cao, Xueyang Fu, Chen Xu, Deyu Meng
2022 J jnl
Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data.
IEEE Trans. Cybern.
Zhiming Xia, Yang Chen, Chen Xu
2021 J jnl
Learning performance of LapSVM based on Markov subsampling.
Neurocomputing
Tieliang Gong, Hong Chen, Chen Xu
2021 J jnl
Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information.
IEEE Trans. Pattern Anal. Mach. Intell.
Feng Zhang, Jianjun Wang, Wendong Wang, Chen Xu
2020 J jnl
Distributed Feature Screening via Componentwise Debiasing.
J. Mach. Learn. Res.
Xingxiang Li, Runze Li, Zhiming Xia, Chen Xu
2020 J jnl
Modal additive models with data-driven structure identification.
Math. Found. Comput.
Tieliang Gong, Chen Xu, Hong Chen
2020 A* conf
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery.
NeurIPS
Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
2020 A* conf
Robust Gradient-Based Markov Subsampling.
AAAI
Tieliang Gong, Quanhan Xi, Chen Xu
2020 J jnl
SVM-Boosting based on Markov resampling: Theory and algorithm.
Neural Networks
Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang
2019 J jnl
Kernelized Elastic Net Regularization based on Markov selective sampling.
Knowl. Based Syst.
Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu
2019 J jnl
New Incremental Learning Algorithm With Support Vector Machines.
IEEE Trans. Syst. Man Cybern. Syst.
Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You
2018 J jnl
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.
IEEE Trans. Neural Networks Learn. Syst.
Jian Wang, Chen Xu, Xifeng Yang, Jacek M. Zurada
2018 J jnl
k-Times Markov Sampling for SVMC.
IEEE Trans. Neural Networks Learn. Syst.
Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You
2017 J jnl
Editorial learning for multimodal data.
Neurocomputing
Xiaofeng Zhu, Xudong Luo, Chen Xu
2016 J jnl
Learning for medical imaging.
Neurocomputing
Xiaofeng Zhu, Feng Lu, Chen Xu, Rongrong Ji
2016 J jnl
On the Feasibility of Distributed Kernel Regression for Big Data.
IEEE Trans. Knowl. Data Eng.
Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu
2005 — conf
A New Approach for Regression: Visual Regression Approach.
CIS (1)
Deyu Meng, Chen Xu, Wenfeng Jing