Hongliu Cao

Orcid: 0000-0002-1326-8159

According to our database1, Hongliu Cao authored at least 21 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation.
CoRR, March, 2026

When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications.
CoRR, February, 2026

2025
Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications.
CoRR, April, 2025

Enhancing Negation Awareness in Universal Text Embeddings: A Data-efficient and Computational-efficient Approach.
CoRR, April, 2025

Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Diverse and Private Synthetic Datasets Generation for RAG evaluation: A Multi-agent Framework.
Proceedings of TRUST-AI 2025, 2025

Holistic Analysis on the Sustainability of Federated Learning Lifecycle in Real-World Industrial Settings.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Semantic Adapter for Universal Text Embeddings: Diagnosing and Mitigating Negation Blindness to Enhance Universality.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

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

2023
Towards more sustainable enterprise data and application management with cross silo Federated Learning and Analytics.
CoRR, 2023

Inclusive normalization of face images to passport format.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-View User Representation Learning for User Matching Without Personal Information.
Proceedings of the International Joint Conference on Neural Networks, 2023

2021
Destination similarity based on implicit user interest.
CoRR, 2021

2020
Random Forest for Dissimilarity-based Multi-view Learning.
CoRR, 2020

A Novel Random Forest Dissimilarity Measure for Multi-View Learning.
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).
PhD thesis, 2019

Random forest dissimilarity based multi-view learning for Radiomics application.
Pattern Recognit., 2019

2018
Dissimilarity-based representation for radiomics applications.
CoRR, 2018

Dynamic Voting in Multi-view Learning for Radiomics Applications.
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.
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.
Proceedings of the Document Recognition and Retrieval XXII, 2015


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