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

Canadian journal of statistics, 2022-03, Vol.50 (1), p.86-121

2022

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

IEEE signal processing letters, 2013-04, Vol.20 (4), p.403-406

2013

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Learning Bilateral Clipping Parametric Activation for Low-Bit Neural Networks

Mathematics (Basel), 2023-04, Vol.11 (9), p.2001

2023

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Approximation of Nonlinear Functionals Using Deep ReLU Networks

The Journal of fourier analysis and applications, 2023-08, Vol.29 (4), Article 50

2023

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Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5408-5418

2018

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Anatomical and transcriptional dynamics of maize embryonic leaves during seed germination

Proceedings of the National Academy of Sciences - PNAS, 2013-03, Vol.110 (10), p.3979-3984

2013

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Exact minimum rank approximation via Schatten p-norm minimization

Journal of computational and applied mathematics, 2014-09, Vol.267, p.218-227

2014

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A new sequence convergent to Euler–Mascheroni constant

Journal of inequalities and applications, 2018, Vol.2018 (1), p.1-8, Article 75

2018

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Transcriptomic analyses of regenerating adult feathers in chicken

BMC genomics, 2015-10, Vol.16 (1), p.756-756, Article 756

2015

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Partially-Linear Least-Squares Regularized Regression for System Identification

IEEE transactions on automatic control, 2009-11, Vol.54 (11), p.2637-2641

2009

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Identification and evolutionary analysis of long non-coding RNAs in zebra finch

BMC genomics, 2017-01, Vol.18 (1), p.117-117, Article 117

2017

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Framelet block thresholding estimator for sparse functional data

Journal of multivariate analysis, 2022-05, Vol.189, p.104895, Article 104895

2022

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Least Square Regularized Regression in Sum Space

IEEE transaction on neural networks and learning systems, 2013-04, Vol.24 (4), p.635-646

2013

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Detection of human papillomavirus in squamous cell carcinoma arising from dermoid cysts

Taiwanese journal of obstetrics & gynecology, 2015-10, Vol.54 (5), p.559-566

2015

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Estimations of singular functions of kernel cross-covariance operators

Journal of approximation theory, 2021-06, Vol.266, p.105576, Article 105576

2021

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The optimal rate of canonical correlation analysis for stochastic processes

Journal of statistical planning and inference, 2020-07, Vol.207, p.276-287

2020

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

Journal of inequalities and applications, 2016-03, Vol.2016 (1), p.1-10, Article 91

2016

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

Journal of mathematical analysis and applications, 2016-04, Vol.436 (1), p.513-520

2016

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Some new sequences that converge to the Ioachimescu constant

Journal of inequalities and applications, 2016-06, Vol.2016 (1), p.1-6, Article 148

2016

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Convergence of ℓ2/3 Regularization for Sparse Signal Recovery

Asia-Pacific journal of operational research, 2015-08, Vol.32 (4)

2015

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A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces

Journal of multivariate analysis, 2019-01, Vol.169, p.166-178

2019

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Sharp approximation formulas and inequalities for the Wallis ratio by continued fraction

Journal of mathematical analysis and applications, 2017-11, Vol.455 (2), p.1743-1748

2017

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Statistical performance of optimal scoring in reproducing kernel Hilbert spaces

Journal of statistical planning and inference, 2018-03, Vol.194, p.122-135

2018

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Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks

The Journal of fourier analysis and applications, 2023, Vol.29 (5), Article 57

2023

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A Simpler Approach to Coefficient Regularized Support Vector Machines Regression

Abstract and Applied Analysis, 2014-01, Vol.2014, p.1-8

2014

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

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

Learning Bilateral Clipping Parametric Activation for Low-Bit Neural Networks

Approximation of Nonlinear Functionals Using Deep ReLU Networks

Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning

Anatomical and transcriptional dynamics of maize embryonic leaves during seed germination

Exact minimum rank approximation via Schatten p-norm minimization

A new sequence convergent to Euler–Mascheroni constant

Transcriptomic analyses of regenerating adult feathers in chicken

Partially-Linear Least-Squares Regularized Regression for System Identification

Identification and evolutionary analysis of long non-coding RNAs in zebra finch

Framelet block thresholding estimator for sparse functional data

Least Square Regularized Regression in Sum Space

Detection of human papillomavirus in squamous cell carcinoma arising from dermoid cysts

Estimations of singular functions of kernel cross-covariance operators

The optimal rate of canonical correlation analysis for stochastic processes

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

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

Some new sequences that converge to the Ioachimescu constant

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery

A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces

Sharp approximation formulas and inequalities for the Wallis ratio by continued fraction

Statistical performance of optimal scoring in reproducing kernel Hilbert spaces

Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks

A Simpler Approach to Coefficient Regularized Support Vector Machines Regression

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