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

Leveraging Semantic Type Dependencies for Medical Named Entity Recognition. - Linh Le; Guido Zuccon; Genghong Zhao; Gianluca Demartini; Xia Zhang (AMIA, 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)

Active learning with feature matching for clinical named entity recognition. - Linh Le; Gianluca Demartini; Guido Zuccon; Genghong Zhao; Xia Zhang (Nat. Lang. Process. J., 2023)

CoLAL: Co-learning Active Learning for Text Classification. - Linh Le; Genghong Zhao; Xia Zhang; Guido Zuccon; Gianluca Demartini (AAAI, 2024)

Stochastic Featurization for Active Learning. - Linh Le; Minh-Tien Nguyen; Khai Phan Tran; Genghong Zhao; Xia Zhang; Guido Zuccon; Gianluca Demartini (TAI4H, 2024)

Data augmented large language models for medical record generation. - Xuanyi Zhang; Genghong Zhao; Yi Ren; Weiguang Wang; Wei Cai; Yan Zhao; Xia Zhang; Jiren Liu (Appl. Intell., 2025)

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition. - Linh Le; Guido Zuccon; Gianluca Demartini; Genghong Zhao; Xia Zhang (CoRR, 2025)