Wavelet-based neural network model for track stiffness signal detection. - Ding, Yunlong; Chen, Di-Rong (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Approximation of Nonlinear Functionals Using Deep ReLU Networks. - Song, Linhao; Fan, Jun; Chen, Di-Rong; Zhou, Ding-Xuan (CoRR, 2023)

Framelet block thresholding estimator for sparse functional data. - Chen, Di-Rong; Cheng, Kun; Liu, Chao (J. Multivar. Anal., 2022)

Estimations of singular functions of kernel cross-covariance operators. - Chen, Heng; Chen, Di-Rong; Zhao, Yao (J. Approx. Theory, 2021)

A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces. - Zhou, Yang; Chen, Di-Rong; Huang, Wei (J. Multivar. Anal., 2019)

Generalization error bound of semi-supervised learning with ℓ1 regularization in sum space. - Liu, Chao; Chen, Di-Rong (Neurocomputing, 2018)

Simultaneous estimations of optimal directions and optimal transformations for functional data. - Chen, Heng; Huang, Wei; Chen, Di-Rong (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning. - Xu, Yong-Li; Li, Xiao-Xing; Chen, Di-Rong; Li, Han-Xiong (IEEE Trans. Neural Networks Learn. Syst., 2018)

Interpretable Functional Logistic Regression. - Lv, Cui; Chen, Di-Rong (2018)

Recovery of Low Rank Symmetric Matrices via Schatten p Norm Minimization. - Cui, Li; Liu, Lu; Chen, Di-Rong; Xie, Jianfeng (Asia Pac. J. Oper. Res., 2016)

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery. - Liu, Lu; Chen, Di-Rong (Asia Pac. J. Oper. Res., 2015)

ℓ1-Norm support vector machine for ranking with exponentially strongly mixing sequence. - Chen, Di-Rong; Huang, Shou-You (Int. J. Wavelets Multiresolution Inf. Process., 2014)

Learning rate of support vector machine for ranking. - Chen, Heng; Chen, Di-Rong (J. Approx. Theory, 2014)

Exact minimum rank approximation via Schatten p-norm minimization. - Liu, Lu; Huang, Wei; Chen, Di-Rong (J. Comput. Appl. Math., 2014)

Learning with Convex Loss and Indefinite Kernels. - Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong (Neural Comput., 2014)

Learning Rates for l1-Regularized Kernel Classifiers. - Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong (J. Appl. Math., 2013)

The Exact Support Recovery of Sparse Signals With Noise via Orthogonal Matching Pursuit. - Wu, Rui; Huang, Wei; Chen, Di-Rong (IEEE Signal Process. Lett., 2013)

The Improved Bounds of Restricted Isometry Constant for Recovery via ℓp-Minimization. - Wu, Rui; Chen, Di-Rong (IEEE Trans. Inf. Theory, 2013)

Least Square Regularized Regression in Sum Space. - Xu, Yong-Li; Chen, Di-Rong; Li, Han-Xiong; Liu, Lu (IEEE Trans. Neural Networks Learn. Syst., 2013)

On the performance of regularized regression learning in Hilbert space. - Chen, Di-Rong; Li, Han (Neurocomputing, 2012)

The coefficient Regularized Regression with Random Projection. - Chen, Di-Rong; Li, Han (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Support vector machines regression with I1-regularizer. - Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong (J. Approx. Theory, 2012)

Wavelet shrinkage estimators of Hilbert transform. - Chen, Di-Rong; Zhao, Yao (J. Approx. Theory, 2011)

Projected gradient iteration for nonlinear operator equation. - Huang, Wei; Chen, Di-Rong (J. Comput. Appl. Math., 2011)

Convergence of irregular Hermite subdivision schemes. - Zhao, Yao; Chen, Di-Rong (Comput. Aided Geom. Des., 2010)

Least Square Regression with lp-Coefficient Regularization. - Tong, Hongzhi; Chen, Di-Rong; Yang, Fenghong (Neural Comput., 2010)

Analysis of Support Vector Machines Regression. - Tong, Hongzhi; Chen, Di-Rong; Peng, Lizhong (Found. Comput. Math., 2009)

Learning Rates of Regularized Regression for Functional Data. - Xu, Yong-Li; Chen, Di-Rong (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Partially-Linear Least-Squares Regularized Regression for System Identification. - Xu, Yong-Li; Chen, Di-Rong (IEEE Trans. Autom. Control., 2009)

Learning rates for regularized classifiers using multivariate polynomial kernels. - Tong, Hongzhi; Chen, Di-Rong; Peng, Lizhong (J. Complex., 2008)

Wavelet Denoising for Differential Operator. - Meng, Hongtao; Chen, Di-Rong; Zhao, Yao (2008)

A Construction of convergent Cascade Algorithms in Sobolev Spaces. - Chen, Di-Rong (Int. J. Wavelets Multiresolution Inf. Process., 2007)

The consistency of multicategory support vector machines. - Chen, Di-Rong; Xiang, Dao-Hong (Adv. Comput. Math., 2006)

Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss. - Chen, Di-Rong; Sun, Tao (J. Mach. Learn. Res., 2006)

Support Vector Machine Soft Margin Classifiers: Error Analysis. - Chen, Di-Rong; Wu, Qiang; Ying, Yiming; Zhou, Ding-Xuan (J. Mach. Learn. Res., 2004)

Shift-invariant spaces of tempered distributions and Lp-functions. - Chen, Di-Rong (J. Approx. Theory, 2003)

Convergence of Cascade Algorithms in Sobolev Spaces for Perturbed Refinement Masks. - Chen, Di-Rong; Plonka, Gerlind (J. Approx. Theory, 2002)

Construction of Smooth Refinable Function Vectors by Cascade Algorithms. - Chen, Di-Rong (SIAM J. Numer. Anal., 2002)

Construction of multivariate biorthogonal wavelets with arbitrary vanishing moments. - Chen, Di-Rong; Han, Bin; Riemenschneider, Sherman D. (Adv. Comput. Math., 2000)

On the Splitting Trick and Wavelet Frame Packets. - Chen, Di-Rong (SIAM J. Math. Anal., 2000)