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Vital pulp therapy in carious pulp–exposed permanent teeth: an umbrella review

Clinical oral investigations, 2021-12, Vol.25 (12), p.6743-6756

2021

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Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity

SIAM journal on optimization, 2017-01, Vol.27 (3), p.1637-1665

2017

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Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection

Journal of computational mathematics, 2019-01, Vol.37 (3), p.349-359

2019

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Deep Learning for Real-Time Crime Forecasting and Its Ternarization

Chinese annals of mathematics. Serie B, 2019-11, Vol.40 (6), p.949-966

2019

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Outcomes of endodontically treated cracked teeth: a systematic review and meta-analysis

Clinical oral investigations, 2020, Vol.24 (1), p.465-473

2020

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Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing

Mathematical programming, 2018-05, Vol.169 (1), p.307-336

2018

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RARTS: An Efficient First-Order Relaxed Architecture Search Method

IEEE access, 2022, Vol.10, p.1-1

2022

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Sharp asymptotic growth laws of turbulent flame speeds in cellular flows by inviscid Hamilton–Jacobi models

Annales de l'Institut Henri Poincaré. Analyse non linéaire, 2013-12, Vol.30 (6), p.1049-1068

2013

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Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise

Frontiers in computer science (Lausanne), 2023-06, Vol.5

2023

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Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Improving Network Slimming With Nonconvex Regularization

IEEE access, 2021, Vol.9, p.115292-115314

2021

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Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization

Frontiers in applied mathematics and statistics, 2021-02, Vol.6

2021

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Iterative $ℓ_1$ Minimization for Non-Convex Compressed Sensing

Journal of computational mathematics, 2017-01, Vol.35 (4), p.439-451

2017

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Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network

Frontiers in applied mathematics and statistics, 2020-05, Vol.6

2020

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Quality of life of patients with endodontically treated teeth: A systematic review

Australian endodontic journal, 2020-04, Vol.46 (1), p.130-139

2020

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Asymptotic Growth Rates and Strong Bending of Turbulent Flame Speeds of G-Equation in Steady Two-Dimensional Incompressible Periodic Flows

SIAM journal on mathematical analysis, 2014-01, Vol.46 (4), p.2444-2467

2014

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A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection

Signal processing, 2014-03, Vol.96, p.332-345

2014

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A critical quantity for noise attenuation in feedback systems

PLoS computational biology, 2010-04, Vol.6 (4), p.e1000764-e1000764

2010

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ITERATIVE l1 MINIMIZATION FOR NON-CONVEX COMPRESSED SENSING

Journal of computational mathematics, 2017-07, Vol.35 (4), p.439-451

2017

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Comparisons between sine-Gordon and perturbed nonlinear Schrödinger equations for modeling light bullets beyond critical collapse

Physica. D, 2010-07, Vol.239 (13), p.1120-1134

2010

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Inactivation kinetics of 280 nm UV-LEDs against Mycobacterium abscessus in water

Scientific reports, 2023-02, Vol.13 (1), p.2186-2186, Article 2186

2023

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Minimization of $\ell_{1-2}$ for Compressed Sensing

SIAM journal on scientific computing, 2015-01, Vol.37 (1), p.A536-A563

2015

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DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method

Journal of computational physics, 2022-09, Vol.464, p.111309, Article 111309

2022

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Minimization of transformed $l_1$ penalty: Closed form representation and iterative thresholding algorithms

Communications in mathematical sciences, 2017, Vol.15 (2), p.511-537

2017

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Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data

Mathematical programming, 2019-07, Vol.176 (1-2), p.247-278

2019

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Vital pulp therapy in carious pulp–exposed permanent teeth: an umbrella review

Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity

Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection

Deep Learning for Real-Time Crime Forecasting and Its Ternarization

Outcomes of endodontically treated cracked teeth: a systematic review and meta-analysis

Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing

RARTS: An Efficient First-Order Relaxed Architecture Search Method

Sharp asymptotic growth laws of turbulent flame speeds in cellular flows by inviscid Hamilton–Jacobi models

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise

Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data

Improving Network Slimming With Nonconvex Regularization

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization

Iterative $ℓ_1$ Minimization for Non-Convex Compressed Sensing

Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network

Quality of life of patients with endodontically treated teeth: A systematic review

Asymptotic Growth Rates and Strong Bending of Turbulent Flame Speeds of G-Equation in Steady Two-Dimensional Incompressible Periodic Flows

A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection

A critical quantity for noise attenuation in feedback systems

ITERATIVE l1 MINIMIZATION FOR NON-CONVEX COMPRESSED SENSING

Comparisons between sine-Gordon and perturbed nonlinear Schrödinger equations for modeling light bullets beyond critical collapse

Inactivation kinetics of 280 nm UV-LEDs against Mycobacterium abscessus in water

Minimization of $\ell_{1-2}$ for Compressed Sensing

DeepParticle: Learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method

Minimization of transformed $l_1$ penalty: Closed form representation and iterative thresholding algorithms

Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data

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