
Overview
Background
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
Works
Search Professor Shuai Wang’s works on UQ eSpace
2022
Conference Publication
To Interpolate or not to Interpolate: PRF, dense and sparse retrievers
Li, Hang, Wang, Shuai, Zhuang, Shengyao, Mourad, Ahmed, Ma, Xueguang, Lin, Jimmy and Zuccon, Guido (2022). To Interpolate or not to Interpolate: PRF, dense and sparse retrievers. SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 July 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3477495.3531884
2022
Conference Publication
Seed-driven document ranking for systematic reviews: a reproducibility study
Wang, Shuai, Scells, Harrisen, Mourad, Ahmed and Zuccon, Guido (2022). Seed-driven document ranking for systematic reviews: a reproducibility study. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, 10–14 April 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-99736-6_46
2021
Conference Publication
MeSH Term Suggestion for Systematic Review Literature Search
Wang, Shuai, Li, Hang, Scells, Harrisen, Locke, Daniel and Zuccon, Guido (2021). MeSH Term Suggestion for Systematic Review Literature Search. Australasian Document Computing Symposium, Melbourne, VIC, Australia, 9 December 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3503516.3503530
2021
Conference Publication
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
Funding
Past funding
Supervision
Availability
- Mr Shuai Wang is:
- Available for supervision
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Media
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