Fei Guo

Orcid: 0000-0001-8346-0798

Affiliations:
  • Central South University, School of Computer Science and Engineering, Changsha , China
  • Tianjin University, Tianjin, China


According to our database1, Fei Guo authored at least 123 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., November, 2024

Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst., October, 2024

Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review.
ACM Comput. Surv., June, 2024

Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model.
IEEE Trans. Artif. Intell., May, 2024

TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation.
Expert Syst. Appl., March, 2024

Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis.
IEEE Trans. Artif. Intell., February, 2024

Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction.
Expert Syst. Appl., January, 2024

PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Boundary-Aware Dual Biaffine Model for Sequential Sentence Classification in Biomedical Documents.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization.
PLoS Comput. Biol., 2024

MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.
PLoS Comput. Biol., 2024

NBCR-ac4C: A Deep Learning Framework Based on Multivariate BERT for Human mRNA N4-Acetylcytidine Sites Prediction.
J. Chem. Inf. Model., 2024

Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools.
Future Gener. Comput. Syst., 2024

A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning.
CoRR, 2024

Aggregate-aware model with bidirectional edge generation for medical image segmentation.
Appl. Soft Comput., 2024

2023
Pmf-cpi: assessing drug selectivity with a pretrained multi-functional model for compound-protein interactions.
J. Cheminformatics, December, 2023

Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.
Inf. Fusion, December, 2023

ComDock: A novel approach for protein-protein docking with an efficient fusing strategy.
Comput. Biol. Medicine, December, 2023

Development of a component-based integrated modeling framework for urban flood simulation.
Environ. Model. Softw., November, 2023

Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.
IEEE Trans. Artif. Intell., October, 2023

Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning.
Pattern Recognit., September, 2023

MVML-MPI: Multi-View Multi-Label Learning for Metabolic Pathway Inference.
Briefings Bioinform., September, 2023

Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model.
Briefings Bioinform., July, 2023

A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites.
Inf. Sci., June, 2023

IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction.
Briefings Bioinform., May, 2023

Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization.
Expert Syst. Appl., 2023

Enhancing Database Principles Teaching with ChatGPT-Like Language Models.
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst., 2022

Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.
Neural Networks, 2022

Res2Unet: A multi-scale channel attention network for retinal vessel segmentation.
Neural Comput. Appl., 2022

Inferring human microbe-drug associations via multiple kernel fusion on graph neural network.
Knowl. Based Syst., 2022

Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.
Knowl. Based Syst., 2022

DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction.
J. Chem. Inf. Model., 2022

A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases.
Neurocomputing, 2022

String kernels construction and fusion: a survey with bioinformatics application.
Frontiers Comput. Sci., 2022

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation.
CoRR, 2022

TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation.
CoRR, 2022

Inferring gene regulatory network via fusing gene expression image and RNA-seq data.
Bioinform., 2022

A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.
Briefings Bioinform., 2022

HDIContact: a novel predictor of residue-residue contacts on hetero-dimer interfaces via sequential information and transfer learning strategy.
Briefings Bioinform., 2022

Identification of drug-side effect association via restricted Boltzmann machines with penalized term.
Briefings Bioinform., 2022

Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes.
Briefings Bioinform., 2022

Microbe-bridged disease-metabolite associations identification by heterogeneous graph fusion.
Briefings Bioinform., 2022

Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization.
Briefings Bioinform., 2022

Identification of DNA N4-methylcytosine sites via fuzzy model on self representation.
Appl. Soft Comput., 2022

Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model.
Appl. Intell., 2022

Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2021

iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition.
IEEE J. Biomed. Health Informatics, 2021

CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information.
Neural Comput. Appl., 2021

Identification of drug-target interactions via multi-view graph regularized link propagation model.
Neurocomputing, 2021

A sequence-based multiple kernel model for identifying DNA-binding proteins.
BMC Bioinform., 2021

A comprehensive overview and critical evaluation of gene regulatory network inference technologies.
Briefings Bioinform., 2021

Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset.
Briefings Bioinform., 2021

Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment.
Briefings Bioinform., 2021

A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data.
Briefings Bioinform., 2021

SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning.
Briefings Bioinform., 2021

EP3: an ensemble predictor that accurately identifies type III secreted effectors.
Briefings Bioinform., 2021

DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences.
Briefings Bioinform., 2021

Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution.
Briefings Bioinform., 2021

MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction.
Briefings Bioinform., 2021

Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares.
Appl. Soft Comput., 2021

A Zero-Shot Method for 3D Medical Image Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

MIASNet: A medical image segmentation method predicting future based on past and current cases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Document-level DDI relation extraction with document-entity embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides.
IEEE J. Biomed. Health Informatics, 2020

Identification of drug-target interactions via fuzzy bipartite local model.
Neural Comput. Appl., 2020

Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion.
Knowl. Based Syst., 2020

Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families.
J. Chem. Inf. Model., 2020

Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion.
Neurocomputing, 2020

CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes.
Comput. Biol. Chem., 2020

Identification of human microRNA-disease association via hypergraph embedded bipartite local model.
Comput. Biol. Chem., 2020

Critical evaluation of web-based prediction tools for human protein subcellular localization.
Briefings Bioinform., 2020

Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation.
Appl. Soft Comput., 2020

A Deep Supervision CNN Network for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.
IEEE J. Biomed. Health Informatics, 2019

Identification of drug-side effect association via multiple information integration with centered kernel alignment.
Neurocomputing, 2019

Taxonomy dimension reduction for colorectal cancer prediction.
Comput. Biol. Chem., 2019

Identifying protein-protein interface via a novel multi-scale local sequence and structural representation.
BMC Bioinform., 2019

LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information.
IEEE Access, 2019

Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Approximation algorithms for the scaffolding problem and its generalizations.
Theor. Comput. Sci., 2018

An approximation algorithm for maximum internal spanning tree.
J. Comb. Optim., 2018

Detecting complexes from edge-weighted PPI networks via genes expression analysis.
BMC Syst. Biol., 2018

Progressive approach for SNP calling and haplotype assembly using single molecular sequencing data.
Bioinform., 2018

2017
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier.
J. Chem. Inf. Model., December, 2017

Identification of drug-target interactions via multiple information integration.
Inf. Sci., 2017

Improvement of phylogenetic method to analyze compositional heterogeneity.
BMC Syst. Biol., 2017

Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier.
Artif. Intell. Medicine, 2017

2016
Learning from real imbalanced data of 14-3-3 proteins binding specificity.
Neurocomputing, 2016

Core-genome scaffold comparison reveals the prevalence that inversion events are associated with pairs of inverted repeats.
CoRR, 2016

Protein-protein interface prediction based on hexagon structure similarity.
Comput. Biol. Chem., 2016

Predicting protein-protein interactions via multivariate mutual information of protein sequences.
BMC Bioinform., 2016

Better Approximation Algorithms for Scaffolding Problems.
Proceedings of the Frontiers in Algorithmics, 10th International Workshop, 2016

2015
A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning.
Neural Networks, 2015

Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface.
J. Chem. Inf. Model., 2015

2014
Multiview image rectification algorithm for parallel camera arrays.
J. Electronic Imaging, 2014

Probabilistic Models for Capturing More Physicochemical Properties on Protein-Protein Interface.
J. Chem. Inf. Model., 2014

A multi-view image rectification algorithm for matrix camera arrangement.
Artif. Intell. Res., 2014

2013
Detecting Protein Conformational Changes in Interactions via Scaling Known Structures.
J. Comput. Biol., 2013

Self-converging camera arrays: Models and realization.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Computing the protein binding sites.
BMC Bioinform., 2012

Protein-protein binding site identification by enumerating the configurations.
BMC Bioinform., 2012

P-Binder: A System for the Protein-Protein Binding Sites Identification.
Proceedings of the Bioinformatics Research and Applications - 8th International Symposium, 2012

2011
Protein-Protein Binding Sites Prediction by 3D Structural Similarities.
J. Chem. Inf. Model., 2011


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