Hong-Bin Shen
Orcid: 0000-0002-4029-3325
According to our database1,
Hong-Bin Shen
authored at least 121 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Int. J. Comput. Vis., November, 2024
Pattern Recognit., 2024
ProtDAT: A Unified Framework for Protein Sequence Design from Any Protein Text Description.
CoRR, 2024
Decoding protein binding landscape on circular RNAs with base-resolution transformer models.
Comput. Biol. Medicine, 2024
Appl. Intell., 2024
2023
Pattern Recognit., September, 2023
MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering.
Bioinform., August, 2023
<i>De novo</i>drug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment.
Bioinform., April, 2023
High-accuracy protein model quality assessment using attention graph neural networks.
Briefings Bioinform., March, 2023
Leveraging scaffold information to predict protein-ligand binding affinity with an empirical graph neural network.
Briefings Bioinform., January, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images.
Bioinform., October, 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning.
IEEE Trans. Cybern., 2022
Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Symmetry, 2022
Fast protein structure comparison through effective representation learning with contrastive graph neural networks.
PLoS Comput. Biol., 2022
Nat. Comput. Sci., 2022
CoRR, 2022
Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2022
Accurate inference of gene regulatory interactions from spatial gene expression with deep contrastive learning.
Bioinform., 2022
CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networks.
Bioinform., 2022
Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning.
Briefings Bioinform., 2022
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction.
Briefings Bioinform., 2022
Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks.
Briefings Bioinform., 2022
SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images.
Briefings Bioinform., 2022
circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.
Briefings Bioinform., 2022
2021
FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
J. Chem. Inf. Model., 2021
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection.
CoRR, 2021
ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity.
Bioinform., 2021
lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning.
Bioinform., 2021
RNA-binding protein recognition based on multi-view deep feature and multi-label learning.
Briefings Bioinform., 2021
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network.
Briefings Bioinform., 2021
2020
Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks.
Pattern Recognit., 2020
Signal-3L 3.0: Improving Signal Peptide Prediction through Combining Attention Deep Learning with Window-Based Scoring.
J. Chem. Inf. Model., 2020
SPREAD: A Fully Automated Toolkit for Single-Particle Cryogenic Electron Microscopy Data 3D Reconstruction with Image-Network-Aided Orientation Assignment.
J. Chem. Inf. Model., 2020
Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images.
Bioinform., 2020
Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data.
Bioinform., 2020
Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.
Bioinform., 2020
ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.
Bioinform., 2020
NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Predicting gene regulatory interactions based on spatial gene expression data and deep learning.
PLoS Comput. Biol., 2019
Clustering Enhancement of Noisy Cryo-Electron Microscopy Single-Particle Images with a Network Structural Similarity Metric.
J. Chem. Inf. Model., 2019
Sci. China Inf. Sci., 2019
AnnoFly: annotating Drosophila embryonic images based on an attention-enhanced RNN model.
Bioinform., 2019
2018
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image segmentation.
Pattern Recognit., 2018
Resolution Measurement from a Single Reconstructed Cryo-EM Density Map with Multiscale Spectral Analysis.
J. Chem. Inf. Model., 2018
High density cell tracking with accurate centroid detections and active area-based tracklet clustering.
Neurocomputing, 2018
Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network.
Neurocomputing, 2018
Frontiers Comput. Sci., 2018
MemBrain-contact 2.0: a new two-stage machine learning model for the prediction enhancement of transmembrane protein residue contacts in the full chain.
Bioinform., 2018
MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA-disease association.
Bioinform., 2018
Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks.
Bioinform., 2018
The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier.
Bioinform., 2018
Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method.
IEEE Access, 2018
Line Junction Detection Without Prior-Delineation of Curvilinear Structure in Biomedical Images.
IEEE Access, 2018
Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model.
Proceedings of the IEEE International Conference on Data Mining, 2018
HMIML: Hierarchical Multi-Instance Multi-Label Learning of Drosophila Embryogenesis Images Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
IterVM: An Iterative Model for Single-Particle Cryo-EM Image Clustering Based on Variational Autoencoder and Multi-Reference Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization.
IEEE Trans. Cybern., 2017
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Signal-3L 2.0: A Hierarchical Mixture Model for Enhancing Protein Signal Peptide Prediction by Incorporating Residue-Domain Cross-Level Features.
J. Chem. Inf. Model., 2017
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images.
Frontiers Comput. Sci., 2017
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
BMC Bioinform., 2017
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.
Bioinform., 2017
NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers.
Bioinform., 2017
Resolution determination method of a cryo-EM density map based on multi-scale spectral signal to noise analysis.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
A protein structure refinement method using bi-objective particle swarm optimization algorithm.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2016
Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
J. Optim. Theory Appl., 2016
Protein folds recognized by an intelligent predictor based-on evolutionary and structural information.
J. Comput. Chem., 2016
Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests.
Neurocomputing, 2016
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning.
Neurocomputing, 2016
GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure.
Comput. Biol. Chem., 2016
R<sub>2</sub>C: improving <i>ab initio</i> residue contact map prediction using dynamic fusion strategy and Gaussian noise filter.
Bioinform., 2016
Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction.
Bioinform., 2016
A New Subcellular Localization Predictor for Human Proteins Considering the Correlation of Annotation Features and Protein Multi-localization.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2015
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Prediction Enhancement of Residue Real-Value Relative Accessible Surface Area in Transmembrane Helical Proteins by Solving the Output Preference Problem of Machine Learning-Based Predictors.
J. Chem. Inf. Model., 2015
Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm.
Eur. J. Oper. Res., 2015
Accurate disulfide-bonding network predictions improve <i>ab initio</i> structure prediction of cysteine-rich proteins.
Bioinform., 2015
Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning.
Bioinform., 2015
MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies.
Bioinform., 2015
Appl. Intell., 2015
2014
OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi-Sugeno Fuzzy Modeling.
IEEE Trans. Fuzzy Syst., 2014
Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features.
Neurocomputing, 2014
Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine.
Neurocomputing, 2014
Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble.
BMC Bioinform., 2014
Sequence-Based Prediction of Protein-Protein Binding Residues in Alpha-Helical Membrane Proteins.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014
A Global Eigenvalue-Driven Balanced Deconvolution Approach for Network Direct-Coupling Analysis.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014
A Novel Two-Stage Multi-objective Ant Colony Optimization Approach for Epistasis Learning.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014
2013
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.
J. Comput. Chem., 2013
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling.
Neurocomputing, 2013
GFO: A data driven approach for optimizing the Gaussian function based similarity metric in computational biology.
Neurocomputing, 2013
Comput. Math. Methods Medicine, 2013
High-accuracy prediction of transmembrane inter-helix contacts and application to GPCR 3D structure modeling.
Bioinform., 2013
An image-based multi-label human protein subcellular localization predictor (<i>i</i>Locator) reveals protein mislocalizations in cancer tissues.
Bioinform., 2013
2012
Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features.
BMC Bioinform., 2012
Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
2011
J. Bioinform. Comput. Biol., 2011
Neurocomputing, 2011
Comput. Biol. Chem., 2011
2010
J. Comput. Chem., 2010
Prediction of Protein Folding Rates from Structural Topology and Complex Network Properties.
Inf. Media Technol., 2010
Bioinform., 2010
2006
Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets.
Soft Comput., 2006
Proceedings of the Computer Science, 2006
2005
Intell. Data Anal., 2005
Cascaded centralized TSK fuzzy system: universal approximator and high interpretation.
Appl. Soft Comput., 2005
2004
Soft Comput., 2004
Proceedings of the Rough Sets and Current Trends in Computing, 2004
Proceedings of the Artificial Intelligence: Methodology, 2004