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Di-Rong Chen
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2020 – today
- 2024
- [j37]Yunlong Ding
, Di-Rong Chen:
Wavelet-based neural network model for track stiffness signal detection. Int. J. Wavelets Multiresolution Inf. Process. 22(3): 2350056:1-2350056:10 (2024) - 2023
- [i1]Linhao Song, Jun Fan, Di-Rong Chen, Ding-Xuan Zhou:
Approximation of Nonlinear Functionals Using Deep ReLU Networks. CoRR abs/2304.04443 (2023) - 2022
- [j36]Di-Rong Chen, Kun Cheng
Framelet block thresholding estimator for sparse functional data. J. Multivar. Anal. 189: 104895 (2022) - 2021
- [j35]Heng Chen, Di-Rong Chen, Yao Zhao:
Estimations of singular functions of kernel cross-covariance operators. J. Approx. Theory 266: 105576 (2021)
2010 – 2019
- 2019
- [j34]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: 166-178 (2019) - 2018
- [j33]Chao Liu, Di-Rong Chen:
Generalization error bound of semi-supervised learning with ℓ1 regularization in sum space. Neurocomputing 275: 1793-1800 (2018) - [j32]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): 1850043:1-1850043:12 (2018) - [j31]Yong-Li Xu
Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5408-5418 (2018) - [c2]Cui Lv, Di-Rong Chen:
Interpretable Functional Logistic Regression. CSAE 2018: 82:1-82:5 - 2016
- [j30]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): 1650003:1-1650003:11 (2016) - 2015
- [j29]Lu Liu, Di-Rong Chen:
Convergence of ℓ2/3 Regularization for Sparse Signal Recovery. Asia Pac. J. Oper. Res. 32(4): 1550023:1-1550023:20 (2015) - 2014
- [j28]Di-Rong Chen, Shou-You Huang:
ℓ1-Norm support vector machine for ranking with exponentially strongly mixing sequence. Int. J. Wavelets Multiresolution Inf. Process. 12(5) (2014) - [j27]Heng Chen, Di-Rong Chen:
Learning rate of support vector machine for ranking. J. Approx. Theory 188: 57-68 (2014) - [j26]Lu Liu, Wei Huang, Di-Rong Chen:
Exact minimum rank approximation via Schatten p-norm minimization. J. Comput. Appl. Math. 267: 218-227 (2014) - [j25]Hongzhi Tong
Learning with Convex Loss and Indefinite Kernels. Neural Comput. 26(1): 158-184 (2014) - 2013
- [j24]Hongzhi Tong, Di-Rong Chen, Fenghong Yang:
Learning Rates for l1-Regularized Kernel Classifiers. J. Appl. Math. 2013: 496282:1-496282:11 (2013) - [j23]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): 403-406 (2013) - [j22]Rui Wu, Di-Rong Chen:
The Improved Bounds of Restricted Isometry Constant for Recovery via ℓp-Minimization. IEEE Trans. Inf. Theory 59(9): 6142-6147 (2013) - [j21]Yong-Li Xu, Di-Rong Chen, Han-Xiong Li
Least Square Regularized Regression in Sum Space. IEEE Trans. Neural Networks Learn. Syst. 24(4): 635-646 (2013) - 2012
- [j20]Di-Rong Chen, Han Li:
On the performance of regularized regression learning in Hilbert space. Neurocomputing 93: 41-47 (2012) - [j19]Di-Rong Chen, Han Li:
The coefficient Regularized Regression with Random Projection. Int. J. Wavelets Multiresolution Inf. Process. 10(2) (2012) - [j18]Hongzhi Tong, Di-Rong Chen, Fenghong Yang:
Support vector machines regression with I1-regularizer. J. Approx. Theory 164(10): 1331-1344 (2012) - 2011
- [j17]Di-Rong Chen, Yao Zhao:
Wavelet shrinkage estimators of Hilbert transform. J. Approx. Theory 163(5): 652-662 (2011) - [j16]Wei Huang, Di-Rong Chen:
Projected gradient iteration for nonlinear operator equation. J. Comput. Appl. Math. 235(17): 5017-5023 (2011) - 2010
- [j15]Yao Zhao, Di-Rong Chen:
Convergence of irregular Hermite subdivision schemes. Comput. Aided Geom. Des. 27(5): 372-381 (2010) - [j14]Hongzhi Tong, Di-Rong Chen, Fenghong Yang:
Least Square Regression with lp-Coefficient Regularization. Neural Comput. 22(12): 3221-3235 (2010)
2000 – 2009
- 2009
- [j13]Hongzhi Tong, Di-Rong Chen, Lizhong Peng:
Analysis of Support Vector Machines Regression. Found. Comput. Math. 9(2): 243-257 (2009) - [j12]Yong-Li Xu, Di-Rong Chen:
Learning Rates of Regularized Regression for Functional Data. Int. J. Wavelets Multiresolution Inf. Process. 7(6): 839-850 (2009) - [j11]Yong-Li Xu, Di-Rong Chen:
Partially-Linear Least-Squares Regularized Regression for System Identification. IEEE Trans. Autom. Control. 54(11): 2637-2641 (2009) - 2008
- [j10]Hongzhi Tong, Di-Rong Chen, Lizhong Peng:
Learning rates for regularized classifiers using multivariate polynomial kernels. J. Complex. 24(5-6): 619-631 (2008) - [c1]Hongtao Meng, Di-Rong Chen, Yao Zhao:
Wavelet Denoising for Differential Operator. CSC 2008: 111-117 - 2007
- [j9]Di-Rong Chen:
A Construction of convergent Cascade Algorithms in Sobolev Spaces. Int. J. Wavelets Multiresolution Inf. Process. 5(5): 685-697 (2007) - 2006
- [j8]Di-Rong Chen, Dao-Hong Xiang:
The consistency of multicategory support vector machines. Adv. Comput. Math. 24(1-4): 155-169 (2006) - [j7]Di-Rong Chen, Tao Sun:
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss. J. Mach. Learn. Res. 7: 2435-2447 (2006) - 2004
- [j6]Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Support Vector Machine Soft Margin Classifiers: Error Analysis. J. Mach. Learn. Res. 5: 1143-1175 (2004) - 2003
- [j5]Di-Rong Chen:
Shift-invariant spaces of tempered distributions and Lp-functions. J. Approx. Theory 121(2): 220-228 (2003) - 2002
- [j4]Di-Rong Chen, Gerlind Plonka
Convergence of Cascade Algorithms in Sobolev Spaces for Perturbed Refinement Masks. J. Approx. Theory 119(2): 133-155 (2002) - [j3]Di-Rong Chen:
Construction of Smooth Refinable Function Vectors by Cascade Algorithms. SIAM J. Numer. Anal. 40(4): 1354-1368 (2002) - 2000
- [j2]Di-Rong Chen, Bin Han, Sherman D. Riemenschneider:
Construction of multivariate biorthogonal wavelets with arbitrary vanishing moments. Adv. Comput. Math. 13(2): 131-165 (2000) - [j1]Di-Rong Chen:
On the Splitting Trick and Wavelet Frame Packets. SIAM J. Math. Anal. 31(4): 726-739 (2000)
Coauthor Index
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