Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents.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 (DRR, 2015)

Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. - Hongliu Cao; Simon Bernard 001; Laurent Heutte; Robert Sabourin (ICIAR, 2018)

Dynamic Voting in Multi-view Learning for Radiomics Applications. - Hongliu Cao; Simon Bernard 001; Laurent Heutte; Robert Sabourin (S+SSPR, 2018)

Dissimilarity-based representation for radiomics applications. - Hongliu Cao; Simon Bernard 001; Laurent Heutte; Robert Sabourin (CoRR, 2018)

Random forest dissimilarity based multi-view learning for Radiomics application. - Hongliu Cao; Simon Bernard 001; Robert Sabourin; Laurent Heutte (Pattern Recognit., 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 (2019)

A Novel Random Forest Dissimilarity Measure for Multi-View Learning. - Hongliu Cao; Simon Bernard 001; Robert Sabourin; Laurent Heutte (ICPR, 2020)

Random Forest for Dissimilarity-based Multi-view Learning. - Simon Bernard 001; Hongliu Cao; Robert Sabourin; Laurent Heutte (CoRR, 2020)

Destination similarity based on implicit user interest. - Hongliu Cao; Eoin Thomas (CoRR, 2021)

Multi-View User Representation Learning for User Matching Without Personal Information. - Hongliu Cao; Ilias El Baamrani; Eoin Thomas (IJCNN, 2023)

Inclusive normalization of face images to passport format. - Hongliu Cao; Minh Nhat Do; Alexis Ravanel; Eoin Thomas (IJCNN, 2023)

Towards more sustainable enterprise data and application management with cross silo Federated Learning and Analytics. - Hongliu Cao (CoRR, 2023)

Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark. - Hongliu Cao (CoRR, 2024)

Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems. - Hongliu Cao (WSDM, 2025)

Enhancing Negation Awareness in Universal Text Embeddings: A Data-efficient and Computational-efficient Approach. - Hongliu Cao (CoRR, 2025)

Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications. - Hongliu Cao; Ilias Driouich; Robin Singh; Eoin Thomas (CoRR, 2025)