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A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

IEEE transaction on neural networks and learning systems, 2016-03, Vol.27 (3), p.579-592

2016

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Meet Our Regional Editor

Current proteomics, 2019-06, Vol.16 (3), p.165-165

You, Zhuhong

2019

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FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks

Molecular genetics and genomics : MGG, 2020-09, Vol.295 (5), p.1197-1209

2020

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Discovery of Novel DPP-IV Inhibitors as Potential Candidates for the Treatment of Type 2 Diabetes mellitus Predicted by 3D QSAR Pharmacophore Models, Molecular Docking and de novo Evolution

Molecules (Basel, Switzerland), 2019-08, Vol.24 (16), p.2870

2019

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SEDMDroid: An Enhanced Stacking Ensemble Framework for Android Malware Detection

IEEE transactions on network science and engineering, 2021-04, Vol.8 (2), p.984-994

2021

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An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems

IEEE transactions on industrial informatics, 2015-08, Vol.11 (4), p.946-956

2015

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Using discriminative vector machine model with 2DPCA to predict interactions among proteins

BMC bioinformatics, 2019-12, Vol.20 (Suppl 25), p.694-694, Article 694

2019

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PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation

BMC bioinformatics, 2023-01, Vol.24 (1), p.18-18, Article 18

2023

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Jaccard distance based weighted sparse representation for coarse-to-fine plant species recognition

PloS one, 2017-06, Vol.12 (6), p.e0178317-e0178317

2017

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An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering

IEEE transactions on automation science and engineering, 2016-01, Vol.13 (1), p.333-343

2016

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PEFNet: Position Enhancement Faster Network for Object Detection in Roadside Perception System

IEEE access, 2023, Vol.11, p.73007-73023

2023

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Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine

IEEE journal of biomedical and health informatics, 2019-05, Vol.23 (3), p.1290-1303

2019

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Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation

International journal of molecular sciences, 2015-05, Vol.16 (5), p.10855-10869

2015

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GSPHI: A novel deep learning model for predicting phage-host interactions via multiple biological information

Computational and structural biotechnology journal, 2023-01, Vol.21, p.3404-3413

2023

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A Novel Ensemble Learning-Based Computational Method to Predict Protein-Protein Interactions from Protein Primary Sequences

Biology (Basel, Switzerland), 2022-05, Vol.11 (5), p.775

2022

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RoFDT: Identification of Drug-Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest

Biology (Basel, Switzerland), 2022-05, Vol.11 (5), p.741

2022

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Predicting Protein–Protein Interactions Based on Ensemble Learning-Based Model from Protein Sequence

Biology (Basel, Switzerland), 2022-06, Vol.11 (7), p.995

2022

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Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine

Complexity (New York, N.Y.), 2018-01, Vol.2018 (2018), p.1-12

2018

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Discriminant WSRC for Large-Scale Plant Species Recognition

Computational Intelligence and Neuroscience, 2017-01, Vol.2017 (2017), p.1-10

2017

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Leaf image based cucumber disease recognition using sparse representation classification

Computers and electronics in agriculture, 2017-03, Vol.134, p.135-141

2017

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Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

Optik (Stuttgart), 2018-03, Vol.157, p.866-872

2018

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Plant disease leaf image segmentation based on superpixel clustering and EM algorithm

Neural computing & applications, 2019-02, Vol.31 (Suppl 2), p.1225-1232

2019

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Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions

Briefings in bioinformatics, 2022-05, Vol.23 (3)

2022

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A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions

Knowledge-based systems, 2024-11, Vol.304, p.112549, Article 112549

2024

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A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

Meet Our Regional Editor

FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks

Discovery of Novel DPP-IV Inhibitors as Potential Candidates for the Treatment of Type 2 Diabetes mellitus Predicted by 3D QSAR Pharmacophore Models, Molecular Docking and de novo Evolution

SEDMDroid: An Enhanced Stacking Ensemble Framework for Android Malware Detection

An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems

Using discriminative vector machine model with 2DPCA to predict interactions among proteins

PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation

Jaccard distance based weighted sparse representation for coarse-to-fine plant species recognition

An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering

PEFNet: Position Enhancement Faster Network for Object Detection in Roadside Perception System

Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine

Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation

GSPHI: A novel deep learning model for predicting phage-host interactions via multiple biological information

A Novel Ensemble Learning-Based Computational Method to Predict Protein-Protein Interactions from Protein Primary Sequences

RoFDT: Identification of Drug-Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest

Predicting Protein–Protein Interactions Based on Ensemble Learning-Based Model from Protein Sequence

Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine

Discriminant WSRC for Large-Scale Plant Species Recognition

Leaf image based cucumber disease recognition using sparse representation classification

Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

Plant disease leaf image segmentation based on superpixel clustering and EM algorithm

Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions

A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2

A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions

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