Shuai Wang is a Research Officer (Postdoctoral Researcher) at ielab (led by Professor Guido Zuccon) at The University of Queensland, where he is also completing his PhD. His primary research interests include information retrieval (IR), large language models, and a range of natural language processing (NLP) tasks.
During his PhD, Shuai developed methods to automate medical systematic reviews using neural-based retrieval systems and generative models. His work includes techniques for Automatic MeSH Term Suggestion, Screening Prioritization, Seed-driven methods, and Automatic Boolean Query Formulation. He has also contributed to more effective federated search and improved model efficiency in IR and retrieval-augmented generation (RAG) tasks.
Shuai’s research has been published in leading IR conferences (SIGIR, ECIR, WSDM) and NLP conferences (EMNLP). He also serves as a Program Committee member for SIGIR, ECIR, ICTIR, and TOIS.
Shuai received his Bachelor’s degree from The University of Western Australia (2017–2019) and his Master’s degree from The University of Queensland (2020–2021).
Availability
Mr Shuai Wang is:
Available for supervision
Qualifications
Masters (Coursework) of Software Engineering, The University of Queensland
BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval
Wang, Shuai, Zhuang, Shengyao and Zuccon, Guido (2021). BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. The ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), Canada, 11 July 2021. New York, NY, USA: Association for Computing Machinery, Inc. doi: 10.1145/3471158.3472233
