Dependency-aware Self-training for Entity Alignment
Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon, WSDM, 2023 (Full Paper)
[PDF] [Code]
Publications
Guiding Neural Entity Alignment with Compatibility
Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang, EMNLP, 2022 (Full Paper, oral)
[PDF] [Code] [Slides]
High-quality Task Division for Large-scale Entity Alignment
Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang, CIKM, 2022 (Full Paper)
[PDF] [Code] [Slides] [Video]
Ensemble Semi-supervised Entity Alignment via Cycle-teaching
Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou, AAAI, 2022 (Full Paper)
[PDF] [Code]
ActiveEA: Active Learning for Neural Entity Alignment
Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao, EMNLP, 2021 (Full Paper)
[PDF] [Code]
Effective and Privacy-preserving Federated Online Learning to Rank
Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon, ICTIR, 2021 (Full Paper, 🏆 Best Student Paper Award)
[PDF] [Code]
Diagnosis Ranking with Knowledge Graph Convolutional Networks
Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen, ECIR, 2021 (Full Paper)
[PDF]