Lei Deng
Orcid: 0000-0003-2869-1619Affiliations:
- Central South University, School of Software, Changsha, China
According to our database1,
Lei Deng authored at least 132 papers
between 2009 and 2026.
Collaborative distances:
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Bibliography
2026
HECLCDA:CircRNA-Drug Sensitivity Prediction via Heterogeneous Cross-Scale Contrastive Learning.
IEEE Trans. Comput. Biol. Bioinform., 2026
HHGSynergy: An Adaptive Heterogeneous Hypergraph Representation Learning Method for Anticancer Drug Synergy Prediction.
IEEE Trans. Comput. Biol. Bioinform., 2026
DeepMIF: A Multiview Interactive Fusion-Based Deep Learning Method for RNA-Small Molecule Binding Affinity Prediction.
J. Chem. Inf. Model., 2026
ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction.
J. Chem. Inf. Model., 2026
J. Chem. Inf. Model., 2026
Expert Syst. Appl., 2026
DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA-miRNA interaction prediction.
Bioinform., 2026
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming.
Health Inf. Sci. Syst., December, 2025
HLN-DDI: hierarchical molecular representation learning with co-attention mechanism for drug-drug interaction prediction.
BMC Bioinform., December, 2025
AGCLNDA: Enhancing the Prediction of ncRNA-Drug Resistance Association Using Adaptive Graph Contrastive Learning.
IEEE J. Biomed. Health Informatics, June, 2025
Enhancing Predictions of Drug Solubility Through Multidimensional Structural Characterization Exploitation.
IEEE J. Biomed. Health Informatics, March, 2025
DeepHeteroCDA: circRNA-drug sensitivity associations prediction via multi-scale heterogeneous network and graph attention mechanism.
Briefings Bioinform., March, 2025
CircGO: Predicting circRNA Functions Through Self-Supervised Learning of Heterogeneous Networks.
IEEE Trans. Comput. Biol. Bioinform., 2025
DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.
J. Chem. Inf. Model., 2025
J. Chem. Inf. Model., 2025
J. Chem. Inf. Model., 2025
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods.
J. Chem. Inf. Model., 2025
Precise prediction of hotspot residues in protein-RNA complexes using graph attention networks and pretrained protein language models.
Bioinform., 2025
MolCL-SP: a multimodal contrastive learning framework with non-overlapping substructure perturbations for molecular property prediction.
Bioinform., 2025
HCoVDB: a comprehensive database encompassing viral genomes, drug targets, and therapeutics of human coronaviruses.
Database J. Biol. Databases Curation, 2025
SeekTP: identifying multifunctional therapeutic peptides via graph attention and deep property integration.
Briefings Bioinform., 2025
Contrastive hypergraph collaborative filtering for transfer RNA-disease association prediction.
Briefings Bioinform., 2025
Briefings Bioinform., 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
TabNet-Based Autoencoder Enhanced with Dynamic Masking for Multiple Imputation of Medical Table Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
A Modular Framework for Multimorbidity Prediction with MNAR-Aware Imputation and Label-Enhanced Transformers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
MutDTA: Interpretable Transfer Learning for Predicting Mutation Effects on Drug Binding Affinity in Viral Proteins.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
DeepBindAffinity: A ResNet-Augmented Hybrid CNN-Transformer for Protein-Ligand Binding Affinity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
DeepFusionCDR: Employing Multi-Omics Integration and Molecule-Specific Transformers for Enhanced Prediction of Cancer Drug Responses.
IEEE J. Biomed. Health Informatics, October, 2024
Tab-Cox: An Interpretable Deep Survival Analysis Model for Patients With Nasopharyngeal Carcinoma Based on TabNet.
IEEE J. Biomed. Health Informatics, August, 2024
MvMRL: a multi-view molecular representation learning method for molecular property prediction.
Briefings Bioinform., July, 2024
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network.
Briefings Bioinform., May, 2024
Briefings Bioinform., May, 2024
J. Chem. Inf. Model., March, 2024
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning.
IEEE J. Biomed. Health Informatics, January, 2024
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
DPMGCDA: Deciphering circRNA-Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder.
J. Chem. Inf. Model., 2024
DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.
Bioinform., 2024
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning.
Bioinform., 2024
HGTRDA: Enhancing Prediction of ncRNA-Mediated Drug Resistance with Hypergraph Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
GATBind: Accurate protein-RNA binding sites prediction via graph attention networks with pre-trained language model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
A Self-Attention Synthesizing Model with Privacy-Preserving(ACCT-GAN) for Medical Tabular Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Imputation of incomplete medical data using missing neighborhood perturbation denoising autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
DTA-Net: Dual-Task Attention Network for Medical Image Segmentation and Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Enhancing miRNA-Disease Prediction with Attention-Based Multi-View Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Hierarchical Molecular Structure Network with Co-attention Mechanism for Drug-Drug Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
MFF-LncLoc: Subcellular Localization Prediction of lncRNAs Based on Multi-Feature Fusion Using Transformers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
HGCLMDA: Predicting mRNA-Drug Sensitivity Associations via Hypergraph Contrastive Learning.
J. Chem. Inf. Model., September, 2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations.
Briefings Bioinform., September, 2023
Briefings Bioinform., July, 2023
ABLNCPP: Attention Mechanism-Based Bidirectional Long Short-Term Memory for Noncoding RNA Coding Potential Prediction.
J. Chem. Inf. Model., June, 2023
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
DeepCoVDR: deep transfer learning with graph transformer and cross-attention for predicting COVID-19 drug response.
Bioinform., 2023
PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Predicting Associations between circRNAs and Drug Sensitivity using Heterogeneous Graphs and Graph Attention Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
TGC-ARG: Predicting Antibiotic Resistance through Transformer-based Modeling and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Enhancing Protein Solubility Prediction through Pre-trained Language Models and Graph Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
MSCNE: Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Graph Neural Network with Self-Supervised Learning for Noncoding RNA-Drug Resistance Association Prediction.
J. Chem. Inf. Model., 2022
Dual-Channel Heterogeneous Graph Neural Network for Predicting microRNA-Mediated Drug Sensitivity.
J. Chem. Inf. Model., 2022
BMC Bioinform., 2022
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network.
BMC Bioinform., 2022
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations.
Bioinform., 2022
Briefings Bioinform., 2022
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations.
Briefings Bioinform., 2022
TSNAPred: predicting type-specific nucleic acid binding residues via an ensemble approach.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes.
Briefings Bioinform., 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
DeepFusionGO: Protein function prediction by fusing heterogeneous features through deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
LDAH2V: Exploring Meta-Paths Across Multiple Networks for lncRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
BMC Bioinform., 2021
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network.
BMC Bioinform., 2021
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost.
BMC Bioinform., 2021
Nabe: an energetic database of amino acid mutations in protein-nucleic acid binding interfaces.
Database J. Biol. Databases Curation, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Accurately Predicting circRNA-disease Associations Using Variational Graph Auto-encoders and LightGBM.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
CMIVGSD: circRNA-miRNA Interaction Prediction Based on Variational Graph Auto-Encoder and Singular Value Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
iPiDA-GBNN: Identification of Piwi-interacting RNA-disease associations based on gradient boosting neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
A multi-task graph convolutional network modeling of drug-drug interactions and synergistic efficacy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy.
Nucleic Acids Res., 2020
HNet-DNN: Inferring New Drug-Disease Associations with Deep Neural Network Based on Heterogeneous Network Features.
J. Chem. Inf. Model., 2020
Pathway-Guided Deep Neural Network toward Interpretable and Predictive Modeling of Drug Sensitivity.
J. Chem. Inf. Model., 2020
Gammachirp filter banks applied in roust speaker recognition based on GMM-UBM classifier.
Int. Arab J. Inf. Technol., 2020
DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features.
BMC Bioinform., 2020
Machine learning-based methods and novel data models to predict adverse drug reaction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Predict the Protein-protein Interaction between Virus and Host through Hybrid Deep Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
DeepARC: An Attention-based Hybrid Model for Predicting Transcription Factor Binding Sites from Positional Embedded DNA Sequence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Predicting circRNA-disease associations using meta path-based representation learning on heterogenous network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
KATZLGO: Large-Scale Prediction of LncRNA Functions by Using the KATZ Measure Based on Multiple Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
BMC Medical Informatics Decis. Mak., 2019
MADOKA: an ultra-fast approach for large-scale protein structure similarity searching.
BMC Bioinform., 2019
D2VCB: A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding from Combined DNA Sequence.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network.
Comput. Biol. Chem., 2018
PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine.
BMC Bioinform., 2018
Ontological function annotation of long non-coding RNAs through hierarchical multi-label classification.
Bioinform., 2018
Computational identification of binding energy hot spots in protein-RNA complexes using an ensemble approach.
Bioinform., 2018
Database J. Biol. Databases Curation, 2018
XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Revealing Dynamic Communities in networks using genetic algorithm with Merging and Splitting Operators.
CoRR, 2017
BMC Bioinform., 2017
A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction.
BMC Bioinform., 2017
BiRWLGO: A global network-based strategy for lncRNA function annotation using bi-random walk.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Combining diffusion and HeteSim features for accurate prediction of protein-lncRNA interactions.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.
BMC Bioinform., 2016
PredRBR: Accurate Prediction of RNA-Binding Residues in proteins using Gradient Tree Boosting.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
2014
PredHS: a web server for predicting protein-protein interaction hot spots by using structural neighborhood properties.
Nucleic Acids Res., 2014
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
2013
Nucleic Acids Res., 2013
Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties.
J. Comput. Biol., 2013
Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties - (Extended Abstract).
Proceedings of the Research in Computational Molecular Biology, 2013
2012
A semi-supervised boosting SVM for predicting hot spots at protein-protein Interfaces.
BMC Syst. Biol., 2012
2011
Nucleic Acids Res., 2011
2009
BMC Bioinform., 2009