Hongliu Cao

According to our database, Hongliu Cao authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark.

Hongliu Cao

CoRR, 2024

2023

Towards more sustainable enterprise data and application management with cross silo Federated Learning and Analytics.

Hongliu Cao

CoRR, 2023

Inclusive normalization of face images to passport format.

Hongliu Cao, Minh Nhat Do, Alexis Ravanel, Eoin Thomas

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-View User Representation Learning for User Matching Without Personal Information.

Hongliu Cao, Ilias El Baamrani, Eoin Thomas

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

Destination similarity based on implicit user interest.

Hongliu Cao, Eoin Thomas

CoRR, 2021

2020

Random Forest for Dissimilarity-based Multi-view Learning.

Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte

CoRR, 2020

A Novel Random Forest Dissimilarity Measure for Multi-View Learning.

Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Random forest for dissimilarity based multi-view learning: application to radiomics. (Forêt aléatoire pour l'apprentissage multi-vues basé sur la dissimilarité: Application à la Radiomique).

Hongliu Cao

PhD thesis, 2019

Random forest dissimilarity based multi-view learning for Radiomics application.

Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte

Pattern Recognit., 2019

2018

Dissimilarity-based representation for radiomics applications.

Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin

CoRR, 2018

Dynamic Voting in Multi-view Learning for Radiomics Applications.

Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images.

Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2015

Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents.

Bart Lamiroy, Thomas Bouville, Julien Blégean, Hongliu Cao, Salah Ghamizi, Romain Houpin, Matthias Lloyd

Proceedings of the Document Recognition and Retrieval XXII, 2015