Di-Rong Chen

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 10

Top Topics

Gaussian Kernels

Support Vector Machine

Top Venues

J. Approx. Theory

Asia Pac. J. Oper. Res.

IEEE Trans. Neural Networks Learn. Syst.

Int. J. Wavelets Multiresolution Inf. Process.

Publications

Linhao Song, Jun Fan, Di-Rong Chen, Ding-Xuan Zhou
Approximation of Nonlinear Functionals Using Deep ReLU Networks. CoRR (2023)
Di-Rong Chen, Kun Cheng, Chao Liu
Framelet block thresholding estimator for sparse functional data. J. Multivar. Anal. 189 (2022)
Heng Chen, Di-Rong Chen, Yao Zhao
Estimations of singular functions of kernel cross-covariance operators. J. Approx. Theory 266 (2021)
Yang Zhou, Di-Rong Chen, Wei Huang
A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces. J. Multivar. Anal. 169 (2019)
Heng Chen, Wei Huang, Di-Rong Chen
Simultaneous estimations of optimal directions and optimal transformations for functional data. Int. J. Wavelets Multiresolution Inf. Process. 16 (5) (2018)
Cui Lv, Di-Rong Chen
Interpretable Functional Logistic Regression. CSAE (2018)
Chao Liu, Di-Rong Chen
regularization in sum space. Neurocomputing 275 (2018)
Yong-Li Xu, Xiao-Xing Li, Di-Rong Chen, Han-Xiong Li
Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Li Cui, Lu Liu, Di-Rong Chen, Jianfeng Xie
Recovery of Low Rank Symmetric Matrices via Schatten p Norm Minimization. Asia Pac. J. Oper. Res. 33 (1) (2016)
Lu Liu, Di-Rong Chen
Regularization for Sparse Signal Recovery. Asia Pac. J. Oper. Res. 32 (4) (2015)
Heng Chen, Di-Rong Chen
Learning rate of support vector machine for ranking. J. Approx. Theory 188 (2014)
Lu Liu, Wei Huang, Di-Rong Chen
Exact minimum rank approximation via Schatten p-norm minimization. J. Comput. Appl. Math. 267 (2014)
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
Learning with Convex Loss and Indefinite Kernels. Neural Comput. 26 (1) (2014)
Di-Rong Chen, Shou-You Huang
-Norm support vector machine for ranking with exponentially strongly mixing sequence. Int. J. Wavelets Multiresolution Inf. Process. 12 (5) (2014)
Rui Wu, Wei Huang, Di-Rong Chen
The Exact Support Recovery of Sparse Signals With Noise via Orthogonal Matching Pursuit. IEEE Signal Process. Lett. 20 (4) (2013)
Rui Wu, Di-Rong Chen
-Minimization. IEEE Trans. Inf. Theory 59 (9) (2013)
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
-Regularized Kernel Classifiers. J. Appl. Math. 2013 (2013)
Yong-Li Xu, Di-Rong Chen, Han-Xiong Li, Lu Liu
Least Square Regularized Regression in Sum Space. IEEE Trans. Neural Networks Learn. Syst. 24 (4) (2013)
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
-regularizer. J. Approx. Theory 164 (10) (2012)
Di-Rong Chen, Han Li
On the performance of regularized regression learning in Hilbert space. Neurocomputing 93 (2012)
Di-Rong Chen, Han Li
The coefficient Regularized Regression with Random Projection. Int. J. Wavelets Multiresolution Inf. Process. 10 (2) (2012)
Wei Huang, Di-Rong Chen
Projected gradient iteration for nonlinear operator equation. J. Comput. Appl. Math. 235 (17) (2011)
Di-Rong Chen, Yao Zhao
Wavelet shrinkage estimators of Hilbert transform. J. Approx. Theory 163 (5) (2011)
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
-Coefficient Regularization. Neural Comput. 22 (12) (2010)
Yao Zhao, Di-Rong Chen
Convergence of irregular Hermite subdivision schemes. Comput. Aided Geom. Des. 27 (5) (2010)
Yong-Li Xu, Di-Rong Chen
Partially-Linear Least-Squares Regularized Regression for System Identification. IEEE Trans. Autom. Control. 54 (11) (2009)
Yong-Li Xu, Di-Rong Chen
Learning Rates of Regularized Regression for Functional Data. Int. J. Wavelets Multiresolution Inf. Process. 7 (6) (2009)
Hongzhi Tong, Di-Rong Chen, Lizhong Peng
Analysis of Support Vector Machines Regression. Found. Comput. Math. 9 (2) (2009)
Hongzhi Tong, Di-Rong Chen, Lizhong Peng
Learning rates for regularized classifiers using multivariate polynomial kernels. J. Complex. 24 (5-6) (2008)
Hongtao Meng, Di-Rong Chen, Yao Zhao
Wavelet Denoising for Differential Operator. CSC (2008)
Di-Rong Chen
A Construction of convergent Cascade Algorithms in Sobolev Spaces. Int. J. Wavelets Multiresolution Inf. Process. 5 (5) (2007)
Di-Rong Chen, Tao Sun
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss. J. Mach. Learn. Res. 7 (2006)
Di-Rong Chen, Dao-Hong Xiang
The consistency of multicategory support vector machines. Adv. Comput. Math. 24 (1-4) (2006)
Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou
Support Vector Machine Soft Margin Classifiers: Error Analysis. J. Mach. Learn. Res. 5 (2004)
Di-Rong Chen
Shift-invariant spaces of tempered distributions and Lp-functions. J. Approx. Theory 121 (2) (2003)
Di-Rong Chen, Gerlind Plonka
Convergence of Cascade Algorithms in Sobolev Spaces for Perturbed Refinement Masks. J. Approx. Theory 119 (2) (2002)
Di-Rong Chen
Construction of Smooth Refinable Function Vectors by Cascade Algorithms. SIAM J. Numer. Anal. 40 (4) (2002)
Di-Rong Chen
On the Splitting Trick and Wavelet Frame Packets. SIAM J. Math. Anal. 31 (4) (2000)
Di-Rong Chen, Bin Han, Sherman D. Riemenschneider
Construction of multivariate biorthogonal wavelets with arbitrary vanishing moments. Adv. Comput. Math. 13 (2) (2000)