Xiaohui Zhao

Orcid: 0000-0003-2636-1982

Affiliations:

Shandong Normal University, School of Information Science & Engineering / School of Mathematical Science, China

According to our database¹, Xiaohui Zhao authored at least 12 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2023

PFN: A Target Item-enhanced Click-Through Rate Prediction via Parallel Fusion Network.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2020

A Hierarchical Attention Model for CTR Prediction Based on User Interest.

[BibT_eX]

[DOI]

IEEE Syst. J., 2020

2019

A hierarchical attention model for rating prediction by leveraging user and product reviews.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Content-aware point-of-interest recommendation based on convolutional neural network.

[BibT_eX]

[DOI]

Appl. Intell., 2019

Research on CTR prediction based on stacked autoencoder.

[BibT_eX]

[DOI]

Appl. Intell., 2019

Research on CTR Prediction Based on Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2018

Points-of-interest recommendation based on convolution matrix factorization.

[BibT_eX]

[DOI]

Appl. Intell., 2018

Identifying Influential Spreaders in Social Networks Via Normalized Local Structure Attributes.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Evaluating Influential Nodes in Social Networks by Local Centrality with a Coefficient.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2017

2015

Computing Unbalanced Degree of Signed Networks Based on Culture Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Cloud Computing and Big Data, 2015

HPOSN: A Novel Online Social Network Model Based on Hybrid P2P.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Cloud Computing and Big Data, 2015

Xiaohui Zhao

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Bibliography

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