Di-Rong Chen

41 papers Journal 39Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Regularized reduced-rank regression for structured output prediction.
J. Complex.
Heng Chen, Di-Rong Chen, Kun Cheng, Yang Zhou
2024 J jnl
Wavelet-based neural network model for track stiffness signal detection.
Int. J. Wavelets Multiresolution Inf. Process.
Yunlong Ding, Di-Rong Chen
2023 J jnl
Approximation of Nonlinear Functionals Using Deep ReLU Networks.
CoRR
Linhao Song, Jun Fan, Di-Rong Chen, Ding-Xuan Zhou
2022 J jnl
Framelet block thresholding estimator for sparse functional data.
J. Multivar. Anal.
Di-Rong Chen, Kun Cheng, Chao Liu
2021 J jnl
Estimations of singular functions of kernel cross-covariance operators.
J. Approx. Theory
Heng Chen, Di-Rong Chen, Yao Zhao
2019 J jnl
A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces.
J. Multivar. Anal.
Yang Zhou, Di-Rong Chen, Wei Huang
2018 J jnl
Generalization error bound of semi-supervised learning with ℓ
Neurocomputing
Chao Liu, Di-Rong Chen
2018 — conf
Interpretable Functional Logistic Regression.
CSAE
Cui Lv, Di-Rong Chen
2018 J jnl
Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yong-Li Xu, Xiao-Xing Li, Di-Rong Chen, Han-Xiong Li
2018 J jnl
Simultaneous estimations of optimal directions and optimal transformations for functional data.
Int. J. Wavelets Multiresolution Inf. Process.
Heng Chen, Wei Huang, Di-Rong Chen
2016 J jnl
Recovery of Low Rank Symmetric Matrices via Schatten p Norm Minimization.
Asia Pac. J. Oper. Res.
Li Cui, Lu Liu, Di-Rong Chen, Jianfeng Xie
2015 J jnl
Convergence of ℓ
Asia Pac. J. Oper. Res.
Lu Liu, Di-Rong Chen
2014 J jnl
Exact minimum rank approximation via Schatten p-norm minimization.
J. Comput. Appl. Math.
Lu Liu, Wei Huang, Di-Rong Chen
2014 J jnl
Learning rate of support vector machine for ranking.
J. Approx. Theory
Heng Chen, Di-Rong Chen
2014 J jnl
Learning with Convex Loss and Indefinite Kernels.
Neural Comput.
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
2014 J jnl
ℓ
Int. J. Wavelets Multiresolution Inf. Process.
Di-Rong Chen, Shou-You Huang
2013 J jnl
Learning Rates for l
J. Appl. Math.
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
2013 J jnl
Least Square Regularized Regression in Sum Space.
IEEE Trans. Neural Networks Learn. Syst.
Yong-Li Xu, Di-Rong Chen, Han-Xiong Li, Lu Liu
2013 J jnl
The Exact Support Recovery of Sparse Signals With Noise via Orthogonal Matching Pursuit.
IEEE Signal Process. Lett.
Rui Wu, Wei Huang, Di-Rong Chen
2013 J jnl
The Improved Bounds of Restricted Isometry Constant for Recovery via ℓ
IEEE Trans. Inf. Theory
Rui Wu, Di-Rong Chen
2012 J jnl
On the performance of regularized regression learning in Hilbert space.
Neurocomputing
Di-Rong Chen, Han Li
2012 J jnl
Support vector machines regression with I
J. Approx. Theory
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
2012 J jnl
The coefficient Regularized Regression with Random Projection.
Int. J. Wavelets Multiresolution Inf. Process.
Di-Rong Chen, Han Li
2011 J jnl
Projected gradient iteration for nonlinear operator equation.
J. Comput. Appl. Math.
Wei Huang, Di-Rong Chen
2011 J jnl
Wavelet shrinkage estimators of Hilbert transform.
J. Approx. Theory
Di-Rong Chen, Yao Zhao
2010 J jnl
Convergence of irregular Hermite subdivision schemes.
Comput. Aided Geom. Des.
Yao Zhao, Di-Rong Chen
2010 J jnl
Least Square Regression with
Neural Comput.
Hongzhi Tong, Di-Rong Chen, Fenghong Yang
2009 J jnl
Analysis of Support Vector Machines Regression.
Found. Comput. Math.
Hongzhi Tong, Di-Rong Chen, Lizhong Peng
2009 J jnl
Learning Rates of Regularized Regression for Functional Data.
Int. J. Wavelets Multiresolution Inf. Process.
Yong-Li Xu, Di-Rong Chen
2009 J jnl
Partially-Linear Least-Squares Regularized Regression for System Identification.
IEEE Trans. Autom. Control.
Yong-Li Xu, Di-Rong Chen
2008 J jnl
Learning rates for regularized classifiers using multivariate polynomial kernels.
J. Complex.
Hongzhi Tong, Di-Rong Chen, Lizhong Peng
2008 — conf
Wavelet Denoising for Differential Operator.
CSC
Hongtao Meng, Di-Rong Chen, Yao Zhao
2007 J jnl
A Construction of convergent Cascade Algorithms in Sobolev Spaces.
Int. J. Wavelets Multiresolution Inf. Process.
Di-Rong Chen
2006 J jnl
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss.
J. Mach. Learn. Res.
Di-Rong Chen, Tao Sun
2006 J jnl
The consistency of multicategory support vector machines.
Adv. Comput. Math.
Di-Rong Chen, Dao-Hong Xiang
2004 J jnl
Support Vector Machine Soft Margin Classifiers: Error Analysis.
J. Mach. Learn. Res.
Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou
2003 J jnl
Shift-invariant spaces of tempered distributions and Lp-functions.
J. Approx. Theory
Di-Rong Chen
2002 J jnl
Construction of Smooth Refinable Function Vectors by Cascade Algorithms.
SIAM J. Numer. Anal.
Di-Rong Chen
2002 J jnl
Convergence of Cascade Algorithms in Sobolev Spaces for Perturbed Refinement Masks.
J. Approx. Theory
Di-Rong Chen, Gerlind Plonka
2000 J jnl
Construction of multivariate biorthogonal wavelets with arbitrary vanishing moments.
Adv. Comput. Math.
Di-Rong Chen, Bin Han, Sherman D. Riemenschneider
2000 J jnl
On the Splitting Trick and Wavelet Frame Packets.
SIAM J. Math. Anal.
Di-Rong Chen