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Anomaly detection in dynamic attributed networks

Neural computing & applications, 2021-03, Vol.33 (6), p.2125-2136

2021

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Nonparallel Support Vector Ordinal Regression

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3306-3317

2017

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Parallel algorithm for training multiclass proximal Support Vector Machines

Applied mathematics and computation, 2011-02, Vol.217 (12), p.5328-5337

Niu, Lingfeng

2011

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Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

IEEE photonics journal, 2022-08, Vol.14 (4), p.1-8

2022

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A Survey on Feature Selection

Procedia computer science, 2016, Vol.91, p.919-926

2016

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Learning With Label Proportions via NPSVM

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3293-3305

2017

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Feature Selection With \ell Regularization

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4967-4982

2018

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Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

IEEE access, 2019, Vol.7, p.17195-17206

2019

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Graph-Based Clustering via Group Sparsity and Manifold Regularization

IEEE access, 2019, Vol.7, p.172123-172135

2019

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Nonsmooth Penalized Clustering via \ell Regularized Sparse Regression

IEEE transactions on cybernetics, 2017-06, Vol.47 (6), p.1423-1433

2017

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Transformed ℓ1 regularization for learning sparse deep neural networks

Neural networks, 2019-11, Vol.119, p.286-298

2019

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A Brief Survey on Learning Based Methods for Vehicle Routing Problems

Procedia computer science, 2023, Vol.221, p.773-780

2023

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Two-level adversarial attacks for graph neural networks

Information sciences, 2024-01, Vol.654, p.119877, Article 119877

2024

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Support vector machine classifier with truncated pinball loss

Pattern recognition, 2017-08, Vol.68, p.199-210

2017

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Sparse CapsNet with explicit regularizer

Pattern recognition, 2022-04, Vol.124, p.108486, Article 108486

2022

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Training the max-margin sequence model with the relaxed slack variables

Neural networks, 2012-09, Vol.33, p.228-235

2012

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Graph regularized locally linear embedding for unsupervised feature selection

Pattern recognition, 2022-02, Vol.122, p.108299, Article 108299

2022

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Unsupervised feature selection for attributed graphs

Expert systems with applications, 2021-04, Vol.168, p.114402, Article 114402

2021

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Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization

SIAM journal on optimization, 2013-01, Vol.23 (3), p.1528-1552

2013

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Wasserstein distance regularized graph neural networks

Information sciences, 2024-06, Vol.670, p.120608, Article 120608

2024

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A NEW TRUST-REGION ALGORITHM FOR NONLINEAR CONSTRAINED OPTIMIZATION

Journal of computational mathematics, 2010, Vol.28 (1), p.72-86

2010

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Training Compact DNNs with ℓ1/2 Regularization

Pattern recognition, 2023-04, Vol.136, Article 109206

2023

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Diluted binary neural network

Pattern recognition, 2023-08, Vol.140, p.109556, Article 109556

2023

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Sparse optimization guided pruning for neural networks

Neurocomputing (Amsterdam), 2024-03, Vol.574, p.127280, Article 127280

2024

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DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

Methods (San Diego, Calif.), 2022-07, Vol.203, p.152-159

2022

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Anomaly detection in dynamic attributed networks

Nonparallel Support Vector Ordinal Regression

Parallel algorithm for training multiclass proximal Support Vector Machines

Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

A Survey on Feature Selection

Learning With Label Proportions via NPSVM

Feature Selection With \ell Regularization

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

Graph-Based Clustering via Group Sparsity and Manifold Regularization

Nonsmooth Penalized Clustering via \ell Regularized Sparse Regression

Transformed ℓ1 regularization for learning sparse deep neural networks

A Brief Survey on Learning Based Methods for Vehicle Routing Problems

Two-level adversarial attacks for graph neural networks

Support vector machine classifier with truncated pinball loss

Sparse CapsNet with explicit regularizer

Training the max-margin sequence model with the relaxed slack variables

Graph regularized locally linear embedding for unsupervised feature selection

Unsupervised feature selection for attributed graphs

Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization

Wasserstein distance regularized graph neural networks

A NEW TRUST-REGION ALGORITHM FOR NONLINEAR CONSTRAINED OPTIMIZATION

Training Compact DNNs with ℓ1/2 Regularization

Diluted binary neural network

Sparse optimization guided pruning for neural networks

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

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