Bing Liu

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

Publications

• Bing Liu and Tiancheng Lan and Wen Hua and Guido Zuccon. 2023. Dependency-aware Self-training for Entity Alignment. In WSDM 2023.
• Bing Liu and Harry Scells and Wen Hua and Guido Zuccon and Genghong Zhao and Xia Zhang. 2022. Guiding Neural Entity Alignment with Compatibility. In EMNLP 2022.
• Bing Liu and Wen Hua and Guido Zuccon and Genghong Zhao and Xia Zhang. 2022. High-quality Task Division for Large-scale Entity Alignment. In CIKM 2022.
• Shuyi Wang and Bing Liu and Shengyao Zhuang and Guido Zuccon. 2021. Effective and Privacy-preserving Federated Online Learning to Rank. In The Proceedings of the 2021 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2021).
• Bing Liu and Guido Zuccon and Wen Hua and Weitong Chen. 2021. Diagnosis Ranking with Knowledge Graph Convolutional Networks. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
• Bing Liu and Harry Scells and Wen Hua and Genghong Zhao and Guido Zuccon. 2021. ActiveEA: Active Learning for Neural Entity Alignment. In The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021).