Dirong Chen

发表

Support vector machines regression with I1-regularizer

Hongzhi Tong, Di-Rong Chen, Fenghong Yang, 2012, J. Approx. Theory.

Learning with Convex Loss and Indefinite Kernels

Hongzhi Tong, Fenghong Yang, Di-Rong Chen, 2014, Neural Computation.

Biorthogonal Wavelet Bases on Rd

R. Long, Dirong Chen, 1995 .

Stability Implies Convergence of Cascade Algorithms in Sobolev Space

Dirong Chen, Xiaobo Zheng, 2002 .

Convergence of Vector Subdivision Schemes in Sobolev Spaces

S. Riemenschneider, R. Jia, Dirong Chen, 2002 .

Learning rates of gradient descent algorithm for classification

Dirong Chen, Xue-Mei Dong, 2009 .

Consistency of regularized spectral clustering

Dirong Chen, Ying Cao, 2011 .

Gradient iteration with ℓp-norm constraints

Dirong Chen, Wei Huang, 2011 .

The optimal rate of canonical correlation analysis for stochastic processes

Dirong Chen, Yang Zhou, 2020 .

Optimal rate for prediction when predictor and response are functions

Dirong Chen, Yang Zhou, 2020, Analysis and Applications.

Support vector machines regression with unbounded sampling

Fenghong Yang, Hongzhi Tong, Dirong Chen, 2019 .

Statistical performance of optimal scoring in reproducing kernel Hilbert spaces

Dirong Chen, Heng Chen, 2018 .

A Simpler Approach to Coefficient Regularized Support Vector Machines Regression

Fenghong Yang, Hongzhi Tong, Dirong Chen, 2014 .

Convergence rates of learning algorithms by random projection

Dirong Chen, Han Li, Han Li, 2014 .

On the regularized Laplacian eigenmaps

Dirong Chen, Ying Cao, 2012 .

Generalization errors of Laplacian regularized least squares regression

Dirong Chen, Ying Cao, 2012 .

Least Square Regularized Regression for Multitask Learning

Dirong Chen, Yong-Li Xu, Han-Xiong Li, 2013 .

Rademacher complexity in Neyman-Pearson classification

Dirong Chen, Min Han, Zhaoxu Sun, 2009 .

Estimation of sparse signal by non-convex optimization

Dirong Chen, Wei Huang, Yao Zhao, 2011, 2011 3rd International Conference on Computer Research and Development.

Hooke and jeeves algorithm for linear least-square problems in sparse signal reconstruction

Dirong Chen, Jinqiu Deng, 2011, 2011 International Conference on Image Analysis and Signal Processing.

Minimax Optimal Rates of Convergence for Multicategory Classifications

Dirong Chen, Xu You, 2007 .

An Improved Car-Following Model Car with Leading Acceleration Considered

Jian Liu, Lijuan Liu, Ning Zhang, 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

Some new continued fraction sequence convergent to the Somos quadratic recurrence constant

Dirong Chen, Xu You, Shouyou Huang, 2016 .

Improved continued fraction sequence convergent to the Somos' quadratic recurrence constant

Dirong Chen, Xu You, 2016 .

A Construction of Multiresolution Analysis on Interval

Dirong Chen, Di Rong Chen, Dao Hong Xiang, 2007 .

Convergence of wavelet thresholding estimators of differential operators

Dirong Chen, Hongtao Meng, 2008 .

Pointwise convergence of bounded cascade sequences

Dirong Chen, Min Han, 2006 .

Convergence of cascade algorithms by frequency approach

Dirong Chen, 2006 .

Computational Harmonic Analysis Organizing Committee Conference Secretary General Information Lecture Theatres Foreign Currency Exchange Email/fax Sightseeing Trip Non-uniform Sampling and Reconstruction in Shift-invariant Spaces with Applications to Signal and Image Processing Multiwavelet Transfor

Say Song Goh, Ding-Xuan Zhou, W. Dahmen, 2022 .

Convergence of Cascade Algorithms in Sobolev Spaces for Perturbed Refinement Masks

Gerlind Plonka-Hoch, Di-Rong Chen, Dirong Chen, 2002, J. Approx. Theory.

THE SCALE-FREE AND SMALL-WORLD PROPERTIES OF COMPLEX NETWORKS ON SIERPINSKI-TYPE HEXAGON

Dirong Chen, Yumei Xue, Qian Zhang, 2020 .

CLASSIFICATION WITH POLYNOMIAL KERNELS AND $l^1-$COEFFICIENT REGULARIZATION

Fenghong Yang, Hongzhi Tong, Dirong Chen, 2014 .

Support Vector Machine Soft Margin Classifiers: Error Analysis

Yiming Ying, Ding-Xuan Zhou, Qiang Wu, 2004, J. Mach. Learn. Res..

Analysis of Support Vector Machines Regression

Lizhong Peng, Hongzhi Tong, Di-Rong Chen, 2009, Found. Comput. Math..

Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss

Tao Sun, Di-Rong Chen, Dirong Chen, 2006, J. Mach. Learn. Res..

Convergence of Cascade Algorithmsin Sobolev Spaces for Perturbed Re¢nement Masks

G. Plonka, Dirong Chen, 2002 .

Construction of multivariate biorthogonal wavelets with arbitrary vanishing moments

Bin Han, Sherman D. Riemenschneider, Di-Rong Chen, 2000, Adv. Comput. Math..

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery

Lu Liu, Di-Rong Chen, Dirong Chen, 2015, Asia Pac. J. Oper. Res..

Projected gradient iteration for nonlinear operator equation

Wei Huang, Di-Rong Chen, Dirong Chen, 2011, J. Comput. Appl. Math..

Learning rates for regularized classifiers using multivariate polynomial kernels

Lizhong Peng, Hongzhi Tong, Di-Rong Chen, 2008, J. Complex..

Analysis to Neyman-Pearson classification with convex loss function

Zhaoxu Sun, Dirong Chen, Min Han, 2008 .

On the performance of regularized regression learning in Hilbert space

Han Li, Di-Rong Chen, Dirong Chen, 2012, Neurocomputing.

Learning rates of regularized regression for exponentially strongly mixing sequence

Di-Rong Chen, Yong-Li Xu, Dirong Chen, 2008 .

ℓ1-Norm support vector machine for ranking with exponentially strongly mixing sequence

Di-Rong Chen, Shou-You Huang, Dirong Chen, 2014, Int. J. Wavelets Multiresolution Inf. Process..

Interpretable Functional Logistic Regression

Cui Lv, Di-Rong Chen, Dirong Chen, 2018, CSAE '18.

The Exact Support Recovery of Sparse Signals With Noise via Orthogonal Matching Pursuit

Wei Huang, Rui Wu, Di-Rong Chen, 2013, IEEE Signal Processing Letters.

Exact minimum rank approximation via Schatten p-norm minimization

Lu Liu, Wei Huang, Di-Rong Chen, 2014, J. Comput. Appl. Math..

The Improved Bounds of Restricted Isometry Constant for Recovery via $\ell_{p}$ -Minimization

Rui Wu, Di-Rong Chen, Dirong Chen, 2013, IEEE Transactions on Information Theory.

Partially-Linear Least-Squares Regularized Regression for System Identification

Di-Rong Chen, Yong-Li Xu, Dirong Chen, 2009, IEEE Transactions on Automatic Control.

Some new sequences that converge to the Ioachimescu constant

Dirong Chen, Xu You, Hong Shi, 2016 .

Some new continued fraction sequence convergent to the Somos quadratic recurrence constant

Dirong Chen, Xu You, Shouyou Huang, 2016 .

Least Square Regression with lp-Coefficient Regularization

Hongzhi Tong, Fenghong Yang, Di-Rong Chen, 2010, Neural Computation.

Approximation of Nonlinear Functionals Using Deep ReLU Networks

Ding-Xuan Zhou, Dirong Chen, Jun Fan, 2023, Journal of Fourier Analysis and Applications.

Adaptive estimation for functional data: Using a framelet block‐thresholding method

K. Cheng, Dirong Chen, 2022, Canadian Journal of Statistics.

Learning Rates for l1-Regularized Kernel Classifiers

Hongzhi Tong, Di-Rong Chen, Fenghong Yang, 2013, J. Appl. Math..

Full length article: Support vector machines regression with l1-regularizer

Fenghong Yang, Hongzhi Tong, Dirong Chen, 2012 .

Research Article Learning Rates for 1 -Regularized Kernel Classifiers

Hongzhi Tong, Di-Rong Chen, Fenghong Yang, 2013 .