Bing Liu
Bing Liu
Postdoctoral Research Fellow, CSIRO Australia
Verified email at
Cited by
Cited by
ActiveEA: Active Learning for Neural Entity Alignment
B Liu, H Scells, G Zuccon, W Hua, G Zhao
EMNLP 2021, 3364-3374, 2021
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
Ensemble Semi-supervised Entity Alignment via Cycle-teaching
K Xin, Z Sun, W Hua, B Liu, W Hu, J Qu, X Zhou
AAAI, 2022
Dependency-aware Self-training for Entity Alignment
B Liu, T Lan, W Hua, G Zuccon
WSDM 2023, 2023
Open-source large language models are strong zero-shot query likelihood models for document ranking
S Zhuang, B Liu, B Koopman, G Zuccon
EMNLP 2023 Findings, 2023
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
A Two-Phase Approach for Predicting Highway Passenger Volume
Y Xiang, J Chen, W Yu, R Wu, B Liu, B Wang, Z Li
Applied Sciences 11 (14), 6248, 2021
Diagnosis ranking with knowledge graph convolutional networks
B Liu, G Zuccon, W Hua, W Chen
European Conference on Information Retrieval, 359-374, 2021
Incorporating human knowledge in neural relation extraction with reinforcement learning
B Liu, G Qi, L Pan, S Duan, T Wu
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
Adversarial discriminative denoising for distant supervision relation extraction
B Liu, H Gao, G Qi, S Duan, T Wu, M Wang
Database Systems for Advanced Applications: DASFAA 2019 International†…, 2019
Guiding Neural Entity Alignment with Compatibility
B Liu, H Scells, W Hua, G Zuccon, G Zhao, X Zhang
EMNLP 2022, 2022
Practical neural entity alignment
B Liu
The University of Queensland, 2023
A Hybrid Graph Model for Distant Supervision Relation Extraction
S Duan, H Gao, B Liu, G Qi
The Semantic Web: 16th International Conference, ESWC 2019, Portorož†…, 2019
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