We stand with Ukraine

We stand with Ukraine

Wei Lan

Orcid: 0000-0001-5839-7504

Affiliations:

Guangxi University, Nanning, Guangxi, China

According to our database¹, Wei Lan authored at least 61 papers between 2011 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Deep Imputation Bi-Stochastic Graph Regularized Matrix Factorization for Clustering Single-Cell RNA-Sequencing Data.

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Yi-Ping Phoebe Chen

IEEE Trans. Comput. Biol. Bioinform., 2026

DeepSTFSynergy: A multi-scale structural information fusion method for personalized drug combination prediction.

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J. Biomed. Informatics, 2026

Coordinator: Semantic-coordinated dynamic fusion for multi-view clustering.

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Inf. Fusion, 2026

Graph Neural Network Model Transferability Estimation via Decomposition-Augmented Discriminant Analysis.

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Alan Wee-Chung Liew

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Proceedings of the ACM Web Conference 2026, 2026

2025

The Large Language Models on Biomedical Data Analysis: A Survey.

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Yi-Ping Phoebe Chen

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IEEE J. Biomed. Health Informatics, June, 2025

Contrastive Clustering Learning for Multi-Behavior Recommendation.

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ACM Trans. Inf. Syst., January, 2025

SMDPG: Identifying Metabolite-Disease Associations via Optimized Negative Sampling and Sparse Graph Convolutional Network.

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IEEE Trans. Comput. Biol. Bioinform., 2025

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.

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Harrison X. Bai

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Neural Networks, 2025

CLTDA: Identifying Associations Between tsRNAs and Diseases Based on Contrastive Learning.

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Yi-Ping Phoebe Chen

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Big Data Min. Anal., 2025

2024

GloEC: a hierarchical-aware global model for predicting enzyme function.

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Briefings Bioinform., September, 2024

Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph.

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IEEE Trans. Neural Networks Learn. Syst., August, 2024

IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability.

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Briefings Bioinform., May, 2024

DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery.

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Yi-Ping Phoebe Chen

Briefings Bioinform., May, 2024

MHCLMDA: multihypergraph contrastive learning for miRNA-disease association prediction.

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Briefings Bioinform., January, 2024

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features.

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Yi-Ping Phoebe Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.

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PLoS Comput. Biol., 2024

A Survey of Hallucination in Large Visual Language Models.

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CoRR, 2024

Transformer-Based Single-Cell Language Model: A Survey.

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Big Data Min. Anal., 2024

Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning.

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Yi-Ping Phoebe Chen

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling.

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Yi-Ping Phoebe Chen

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Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Improving drug response prediction based on two-space graph convolution.

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Comput. Biol. Medicine, May, 2023

Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network.

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Briefings Bioinform., January, 2023

Benchmarking of computational methods for predicting circRNA-disease associations.

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Yi-Ping Phoebe Chen

Briefings Bioinform., January, 2023

Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Predicting Disease-Associated N7-Methylguanosine (m<sup>7</sup>G) Sites via Random Walk on Heterogeneous Network.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2023

NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning.

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Yi-Ping Phoebe Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling.

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Yi-Ping Phoebe Chen

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IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GANLDA: Graph attention network for lncRNA-disease associations prediction.

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Yi-Ping Phoebe Chen

Neurocomputing, 2022

KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network.

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Yi-Ping Phoebe Chen

Briefings Bioinform., 2022

STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data.

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Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis.

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Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.

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Yi-Ping Phoebe Chen

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IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Prediction of circRNA-miRNA Associations Based on Network Embedding.

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Complex., 2021

A comprehensive survey on computational methods of non-coding RNA and disease association prediction.

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Thosini Bamunu Mudiyanselage

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Briefings Bioinform., 2021

A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association.

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Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

2020

miRTRS: A Recommendation Algorithm for Predicting miRNA Targets.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity.

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Yi-Ping Phoebe Chen

Quant. Biol., 2020

Improved ASD classification using dynamic functional connectivity and multi-task feature selection.

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Pattern Recognit. Lett., 2020

Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation.

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Int. J. Data Min. Bioinform., 2020

Inferring LncRNA-disease associations based on graph autoencoder matrix completion.

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Comput. Biol. Chem., 2020

Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks.

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BMC Bioinform., 2020

CircR2Cancer: a manually curated database of associations between circRNAs and cancers.

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Yi-Ping Phoebe Chen

Database J. Biol. Databases Curation, 2020

2019

DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity.

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Yi-Ping Phoebe Chen

Quant. Biol., 2019

Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network.

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J. Comput. Biol., 2019

Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information.

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Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2018

KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk.

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Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

2017

SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures.

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Complex., 2017

Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey.

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Complex., 2017

LDAP: a web server for lncRNA-disease association prediction.

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Bioinform., 2017

2016

Predicting drug-target interaction using positive-unlabeled learning.

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Neurocomputing, 2016

Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks.

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Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

Predicting microRNA-disease associations by walking on four biological networks.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Predicting microRNA-disease associations by integrating multiple biological information.

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Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2013

Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2011

Discovery of MicroRNA conservative sites in drosophila melanogaster.

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Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

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