Jiawei Luo
Orcid: 0000-0003-2385-8272Affiliations:
- Hunan University, Changsha, China
According to our database1,
Jiawei Luo
authored at least 112 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning.
BMC Medical Informatics Decis. Mak., December, 2023
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism.
Briefings Bioinform., September, 2023
Bioinform., March, 2023
Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.
CoRR, 2023
scSRL: Siamese Representation Learning-based method for analyzing single-cell RNA-seq data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network.
Bioinform., November, 2022
Multi-Relation Graph Embedding for Predicting miRNA-Target Gene Interactions by Integrating Gene Sequence Information.
IEEE J. Biomed. Health Informatics, 2022
Data Integration Using Tensor Decomposition for the Prediction of miRNA-Disease Associations.
IEEE J. Biomed. Health Informatics, 2022
miRCom: Tensor Completion Integrating Multi-View Information to Deduce the Potential Disease-Related miRNA-miRNA Pairs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Inferring RNA-binding protein target preferences using adversarial domain adaptation.
PLoS Comput. Biol., 2022
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning.
Comput. Biol. Chem., 2022
Predicting miRNA-disease associations based on graph attention network with multi-source information.
BMC Bioinform., 2022
Bioinform., 2022
A knowledge-driven network for fine-grained relationship detection between miRNA and disease.
Briefings Bioinform., 2022
A survey of circular RNAs in complex diseases: databases, tools and computational methods.
Briefings Bioinform., 2022
An Enabling-Oriented Blended Teaching and Learning Ecosystem - Take the Data Structure and Algorithm Course as an Example.
Proceedings of the Computer Science and Education - 17th International Conference, 2022
scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation.
IEEE J. Biomed. Health Informatics, 2021
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module.
J. Comput. Biol., 2021
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors.
Bioinform., 2021
Graph contextualized attention network for predicting synthetic lethality in human cancers.
Bioinform., 2021
Bioinform., 2021
SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations.
Briefings Bioinform., 2021
Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs.
Briefings Bioinform., 2021
NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.
Briefings Bioinform., 2021
Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.
Briefings Bioinform., 2021
Predicting human microbe-disease associations via graph attention networks with inductive matrix completion.
Briefings Bioinform., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Computational Identification of RNA-Seq Based miRNA-Mediated Prognostic Modules in Cancer.
IEEE J. Biomed. Health Informatics, 2020
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
BiModule: Biclique Modularity Strategy for Identifying Transcription Factor and microRNA Co-Regulatory Modules.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks.
J. Chem. Inf. Model., 2020
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge.
J. Chem. Inf. Model., 2020
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.
J. Chem. Inf. Model., 2020
Potential circRNA-disease association prediction using DeepWalk and network consistency projection.
J. Biomed. Informatics, 2020
Predicting human microbe-drug associations via graph convolutional network with conditional random field.
Bioinform., 2020
Briefings Bioinform., 2020
A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2020
Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.
IEEE J. Biomed. Health Informatics, 2019
IEEE J. Biomed. Health Informatics, 2019
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.
IEEE J. Biomed. Health Informatics, 2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.
PLoS Comput. Biol., 2019
Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs.
Knowl. Based Syst., 2019
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer.
BMC Bioinform., 2019
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network.
BMC Bioinform., 2019
IEEE Access, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the 14th International Conference on Computer Science & Education, 2019
MRDGC: A Parallel Approach for the Identification of Master Regulators Based on the Differently Expressed Genes and the Regulatory Capacity of Regulators.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Co-Regulatory Functional Module Detection Based on Affinity Propagation and Neighborhood Inflation.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Quant. Biol., 2018
Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks.
J. Intell. Fuzzy Syst., 2018
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
J. Biomed. Informatics, 2018
Human disease MiRNA inference by combining target information based on heterogeneous manifolds.
J. Biomed. Informatics, 2018
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks.
Neurocomputing, 2018
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
Bioinform., 2018
IEEE Access, 2018
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Genetic algorithm and tabu search algorithm for solving the static manycast RWA problem in optical networks.
J. Comb. Optim., 2017
A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network.
J. Biomed. Informatics, 2017
Genome-wide predicting disease-related protein complexes by walking on the heterogeneous network based on data integration and laplacian normalization.
Comput. Biol. Chem., 2017
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data.
IEEE Access, 2017
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk.
IEEE Access, 2017
IEEE Access, 2017
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017
Feature Selection Based on Density Peak Clustering Using Information Distance Measure.
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
A cell-core-attachment approach for identifying protein complexes in yeast protein-protein interaction network.
J. Intell. Fuzzy Syst., 2016
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Random optimization algorithm for solving the static manycast RWA problem in optical WDM networks.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
Solving the Static Manycast RWA Problem in Optical Networks Using Evolutionary Programming.
Proceedings of the Intelligent Computing Theories and Application, 2016
Identifying miRNA-mRNA Regulatory Modules Based on Overlapping Neighborhood Expansion from Multiple Types of Genomic Data.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data.
J. Biomed. Informatics, 2015
A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering coefficient.
Int. J. Data Min. Bioinform., 2015
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
Comput. Biol. Chem., 2015
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human.
Bioinform., 2015
A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the 11th International Conference on Natural Computation, 2015
2014
A Performance Weighted Collaborative Filtering algorithm for personalized radiology education.
J. Biomed. Informatics, 2014
Int. J. Netw. Manag., 2014
An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables.
Int. J. Intell. Syst. Technol. Appl., 2014
A new method for predicting essential proteins based on dynamic network topology and complex information.
Comput. Biol. Chem., 2014
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.
Bioinform., 2014
Exploring the application of gene ontology semantic similarity measure for identifying protein complexes.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014
2013
Proceedings of the Advanced Methods for Computational Collective Intelligence, 2013
Secur. Commun. Networks, 2013
An effective algorithm for mining closed sequential patterns and their minimal generators based on prefix trees.
Int. J. Intell. Inf. Database Syst., 2013
Future Gener. Comput. Syst., 2013
2012
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012
2011
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011
2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2007
J. Comput. Chem., 2007
Proceedings of the Digital Human Modeling, 2007