Lin Yuan
Orcid: 0000-0002-9694-8191Affiliations:
- Qilu University of Technology, Faculty of Computer Science and Technology, Shandong Academy of Sciences, Jinan, China
- Tongji University, Shanghai, China (PhD 2019)
According to our database1,
Lin Yuan
authored at least 34 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
A brief survey of deep learning-based models for CircRNA-protein binding sites prediction.
Neurocomputing, 2025
SGAEMVN: A Hybrid Neighborhood-Based Graph Attention Autoencoder for Identifying Spatial Domains from Spatial Transcriptomics.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
A Data Contribution-Based Adaptive Federated Learning Approach for Wearable Activity Recognition.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
2024
iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites.
PLoS Comput. Biol., 2024
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.
Future Gener. Comput. Syst., 2024
scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data.
Briefings Bioinform., 2024
scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning.
Briefings Bioinform., 2024
LCKGCN: Identifying Potential Circrna-Disease Associations Based on Large Convolutional Kernel and Graph Convolutional Network.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
ScADSATGRN: An Adaptive Diffusion Structure-Aware Transformer Based Method Inferring Gene Regulatory Networks from Single-Cell Transcriptomic Data.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Cluster Analysis of Scrna-Seq Data Combining Bioinformatics with Graph Attention Autoencoders and Ensemble Clustering.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Adaptive Weight Sampling and Graph Transformer Neural Network Framework for Cell Type Annotation of Scrna-seq Data.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Proceedings of the Applied Intelligence - Second International Conference, 2024
Design and Implementation of Takeaway Ordering Recommendation System Based on Python and Flask.
Proceedings of the Applied Intelligence - Second International Conference, 2024
2023
FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.
J. Comput. Sci. Technol., September, 2023
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
PLoS Comput. Biol., 2023
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2023
Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformatics with Graph Auto-encoder and Attention Fusion Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Applied Intelligence - First International Conference, 2023
Tourist Attraction Recommendation System Based on Django and Collaborative Filtering.
Proceedings of the Applied Intelligence - First International Conference, 2023
2022
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs.
BMC Bioinform., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR Region.
Proceedings of the Intelligent Computing Theories and Application, 2021
2019
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
2017
Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis.
Complex., 2017
MD-MSVMs: A Human Promoter Recognition Method Based on Single Nucleotide Statistics and Multilayer Decision.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
2014
Gene differential coexpression analysis based on biweight correlation and maximum clique.
BMC Bioinform., 2014
2013
Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013
Differential coexpression analysis in gene modules level and its application to type 2 diabetes.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013