A New Approach for Regression: Visual Regression Approach. - Deyu Meng; Chen Xu 007; Wenfeng Jing (CIS (1), 2005)

Learning for medical imaging. - Xiaofeng Zhu 001; Feng Lu; Chen Xu 007; Rongrong Ji (Neurocomputing, 2016)

On the Feasibility of Distributed Kernel Regression for Big Data. - Chen Xu 007; Yongquan Zhang; Runze Li 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Editorial learning for multimodal data. - Xiaofeng Zhu 001; Xudong Luo; Chen Xu 007 (Neurocomputing, 2017)

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method. - Jian Wang 010; Chen Xu 007; Xifeng Yang; Jacek M. Zurada (IEEE Trans. Neural Networks Learn. Syst., 2018)

k-Times Markov Sampling for SVMC. - Bin Zou 002; Chen Xu 007; Yang Lu 009; Yuan Yan Tang; Jie Xu 006; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2018)

Kernelized Elastic Net Regularization based on Markov selective sampling. - Weijian Chen; Chen Xu 007; Bin Zou 002; Huidong Jin 001; Jie Xu 006 (Knowl. Based Syst., 2019)

New Incremental Learning Algorithm With Support Vector Machines. - Jie Xu 006; Chen Xu 007; Bin Zou 002; Yuan Yan Tang; Jiangtao Peng; Xinge You (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Robust Gradient-Based Markov Subsampling. - Tieliang Gong; Quanhan Xi; Chen Xu 007 (AAAI, 2020)

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. - Yingjie Wang 007; Hong Chen 004; Feng Zheng; Chen Xu 007; Tieliang Gong; Yanhong Chen (NeurIPS, 2020)

Distributed Feature Screening via Componentwise Debiasing. - Xingxiang Li; Runze Li 001; Zhiming Xia; Chen Xu 007 (J. Mach. Learn. Res., 2020)

Modal additive models with data-driven structure identification. - Tieliang Gong; Chen Xu 007; Hong Chen 004 (Math. Found. Comput., 2020)

SVM-Boosting based on Markov resampling: Theory and algorithm. - Hongwei Jiang; Bin Zou 002; Chen Xu 007; Jie Xu 006; Yuan Yan Tang (Neural Networks, 2020)

Learning performance of LapSVM based on Markov subsampling. - Tieliang Gong; Hong Chen 004; Chen Xu 007 (Neurocomputing, 2021)

Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior Subspace Information. - Feng Zhang 023; Jianjun Wang 003; Wendong Wang 001; Chen Xu 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data. - Zhiming Xia; Yang Chen 057; Chen Xu 007 (IEEE Trans. Cybern., 2022)

Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising. - Xiangyong Cao; Xueyang Fu; Chen Xu 007; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning Performance of Weighted Distributed Learning With Support Vector Machines. - Bin Zou 002; Hongwei Jiang; Chen Xu 007; Jie Xu 006; Xinge You; Yuan Yan Tang (IEEE Trans. Cybern., 2023)

One-bit compressed sensing via total variation minimization method. - Yuxiang Zhong; Chen Xu 007; Bin Zhang; Jingyao Hou; Jianjun Wang 003 (Signal Process., 2023)

Generalization capacity of multi-class SVM based on Markovian resampling. - Zijie Dong; Chen Xu 007; Jie Xu 006; Bin Zou 002; Jingjing Zeng; Yuan Yan Tang (Pattern Recognit., 2023)

Hybrid learning based on Fisher linear discriminant. - Jiawen Gong; Bin Zou 002; Chen Xu 007; Jie Xu 006; Xinge You (Inf. Sci., 2024)

Poisson tensor completion with transformed correlated total variation regularization. - Qingrong Feng; Jingyao Hou; Weichao Kong; Chen Xu 007; Jianjun Wang 003 (Pattern Recognit., 2024)

ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning. - Yuhang Wang; Bin Zou 002; Jie Xu 006; Chen Xu 007; Yuan Yan Tang (Neural Networks, 2025)