Hongliu Cao

ORCID

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 16

Top Venues

Université du Québec, Quebec City, Quebec, Canada (PHD)

Education History

Université du Québec, Quebec City, Quebec, Canada

PHD

Publications

Hongliu Cao, Minh Nhat Do, Alexis Ravanel, Eoin Thomas
Inclusive normalization of face images to passport format. IJCNN (2023)
Hongliu Cao, Ilias El Baamrani, Eoin Thomas
Multi-View User Representation Learning for User Matching Without Personal Information. IJCNN (2023)
Hongliu Cao, Ilias El Baamrani, Eoin Thomas
Multi-view user representation learning for user matching without personal information. CoRR (2023)
Hongliu Cao
Towards more sustainable enterprise data and application management with cross silo Federated Learning and Analytics. CoRR (2023)
Hongliu Cao, Minh Nhat Do, Alexis Ravanel, Eoin Thomas
Inclusive normalization of face images to passport format. CoRR (2023)
Hongliu Cao, Eoin Thomas
Destination similarity based on implicit user interest. CoRR (2021)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR (2020)
Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte
Random Forest for Dissimilarity-based Multi-view Learning. CoRR (2020)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR (2020)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88 (2019)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dissimilarity-based representation for radiomics applications. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. ICIAR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dynamic voting in multi-view learning for radiomics applications. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR (2018)
Bart Lamiroy, Thomas Bouville, Julien Blégean, Hongliu Cao, Salah Ghamizi, Romain Houpin, Matthias Lloyd
Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents. DRR (2015)

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Publication Activity (10 Years)

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Hongliu Cao