Bei Wang

Orcid: 0000-0002-3602-2557

Affiliations:

SenseTime, Shanghai, China
Peking University, Wangxuan Institute of Computer Technology, China

According to our database¹, Bei Wang authored at least 12 papers between 2018 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2022

Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

2021

Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

A Retrieval System of Medicine Molecules Based on Graph Similarity.

[BibT_eX]

[DOI]

IEEE Multim., 2019

Comparison of Molecule Graph Representation with Similarity Consistency.

[BibT_eX]

[DOI]

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

GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction.

[BibT_eX]

[DOI]

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

2018

PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity.

[BibT_eX]

[DOI]

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

A Free-Sketch Recognition Method for Chemical Structural Formula.

[BibT_eX]

[DOI]

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

Understanding Markush Structures in Chemistry Documents With Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A method for improving the reliability of causal inference from large-scale data in biomedicine.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Bei Wang

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