Diagnosis Ranking with Knowledge Graph Convolutional Networks. - Bing Liu 025; Guido Zuccon; Wen Hua; Weitong Chen 001 (ECIR (1), 2021)

ActiveEA: Active Learning for Neural Entity Alignment. - Bing Liu 025; Harrisen Scells; Guido Zuccon; Wen Hua; Genghong Zhao (EMNLP (1), 2021)

Effective and Privacy-preserving Federated Online Learning to Rank. - Shuyi Wang 001; Bing Liu 025; Shengyao Zhuang; Guido Zuccon (ICTIR, 2021)

Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. - Kexuan Xin; Zequn Sun; Wen Hua; Bing Liu 025; Wei Hu 007; Jianfeng Qu; Xiaofang Zhou 001 (AAAI, 2022)

High-quality Task Division for Large-scale Entity Alignment. - Bing Liu 025; Wen Hua; Guido Zuccon; Genghong Zhao; Xia Zhang (CIKM, 2022)

Guiding Neural Entity Alignment with Compatibility. - Bing Liu 025; Harrisen Scells; Wen Hua; Guido Zuccon; Genghong Zhao; Xia Zhang (EMNLP, 2022)

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. - Shengyao Zhuang; Bing Liu 025; Bevan Koopman; Guido Zuccon (EMNLP (Findings), 2023)

Dependency-aware Self-training for Entity Alignment. - Bing Liu 025; Tiancheng Lan; Wen Hua; Guido Zuccon (WSDM, 2023)

How to Forget Clients in Federated Online Learning to Rank? - Shuyi Wang 001; Bing Liu 025; Guido Zuccon (ECIR (3), 2024)