Bing Liu

According to our database, Bing Liu authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

How to Forget Clients in Federated Online Learning to Rank?

Shuyi Wang, Bing Liu, Guido Zuccon

Proceedings of the Advances in Information Retrieval, 2024

2023

Dependency-aware Self-training for Entity Alignment.

Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.

Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Guiding Neural Entity Alignment with Compatibility.

Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

High-quality Task Division for Large-scale Entity Alignment.

Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Ensemble Semi-supervised Entity Alignment via Cycle-Teaching.

Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Effective and Privacy-preserving Federated Online Learning to Rank.

Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 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

Diagnosis Ranking with Knowledge Graph Convolutional Networks.

Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen

Proceedings of the Advances in Information Retrieval, 2021