ielab member

Bing Liu

Alumni

PhD student, UQ, 2019-2023. His research interests lie in Knowledge Fusion, Entity Alignment, Knowledge Graph and Large Language Models.

Publications (12)

As listed on Google Scholar (since 2019) · metadata via OpenAlex · updated 2026-06-21 Google Scholar OpenAlex

2 publications

How to Forget Clients in Federated Online Learning to Rank?
S Wang, B Liu, G Zuccon

European Conference on Information Retrieval, 105-121 · 2024
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
B Liu, Z Jianxiang, D Meng, H Lu

Findings of the Association for Computational Linguistics: EMNLP 2024, 4649-4662 · 2024

2 publications

5 publications

Ensemble Semi-supervised Entity Alignment via Cycle-teaching
K Xin, Z Sun, W Hua, B Liu, W Hu, J Qu, X Zhou

AAAI · 2022
High-quality Task Division for Large-scale Entity Alignment
B Liu, W Hua, G Zuccon, G Zhao, X Zhang

Proceedings of the 31st ACM International Conference on Information · 2022
Guiding Neural Entity Alignment with Compatibility
Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang

2022

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Dependency-aware Self-training for Entity Alignment
Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon

arXiv (Cornell University) · 2022

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Towards Practical Knowledge Graph Alignment
B Liu

2022

3 publications

Effective and Privacy-preserving Federated Online Learning to Rank
S Wang, B Liu, S Zhuang, G Zuccon

Proceedings of the 2021 ACM SIGIR International Conference on Theory of · 2021
Diagnosis ranking with knowledge graph convolutional networks
B Liu, G Zuccon, W Hua, W Chen

European Conference on Information Retrieval, 359-374 · 2021
ActiveEA: Active Learning for Neural Entity Alignment
Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021

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