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
Works
Search Professor Shuai Wang’s works on UQ eSpace
2024
Conference Publication
FeB4RAG: evaluating federated search in the context of retrieval augmented generation
Wang, Shuai, Khramtsova, Ekaterina, Zhuang, Shengyao and Zuccon, Guido (2024). FeB4RAG: evaluating federated search in the context of retrieval augmented generation. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657853
2024
Conference Publication
Evaluating generative ad hoc information retrieval
Gienapp, Lukas, Scells, Harrisen, Deckers, Niklas, Bevendorff, Janek, Wang, Shuai, Kiesel, Johannes, Syed, Shahbaz, Fröbe, Maik, Zuccon, Guido, Stein, Benno, Hagen, Matthias and Potthast, Martin (2024). Evaluating generative ad hoc information retrieval. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieva, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657849
2024
Conference Publication
Large language models based stemming for information retrieval: promises, pitfalls and failures
Wang, Shuai, Zhuang, Shengyao and Zuccon, Guido (2024). Large language models based stemming for information retrieval: promises, pitfalls and failures. SIGIR '24: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657949
2024
Journal Article
Report on the Collab-a-Thon at ECIR 2024
MacAvaney, Sean, Roegiest, Adam, Lipani, Aldo, Parry, Andrew, Engelmann, Björn Engelmann, Kreutz, Christin Katharina, Meng, Chuan, Frayling, Erlend, Yang, Eugene, Schlatt, Ferdinand, Faggioli, Guglielmo, Scells, Harrisen, Atanassova, Iana, Friese, Jana, Bevendorff, Janek, Sanz-Cruzado, Javier, Trippas, Johanne, Pathak, Kanaad, Dhole, Kaustubh, Azzopardi, Leif, Fröbe, Maik, Bertin, Marc, Prasad, Nishchal, Zerhoudi, Saber, Wang, Shuai, Chatterjee, Shubham, Jaenich, Thomas, Kruschwitz, Udo, Wang, Xi and Long, Zijun (2024). Report on the Collab-a-Thon at ECIR 2024. ACM SIGIR Forum, 58 (1), 1-11. doi: 10.1145/3687273.3687287
2024
Conference Publication
Zero-shot generative large language models for systematic review screening automation
Wang, Shuai, Scells, Harrisen, Zhuang, Shengyao, Potthast, Martin, Koopman, Bevan and Zuccon, Guido (2024). Zero-shot generative large language models for systematic review screening automation. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24-28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56027-9_25
2024
Conference Publication
BERGEN: a benchmarking library for retrieval-augmented generation
Rau, David, Déjean, Hervé, Chirkova, Nadezhda, Formal, Thibault, Wang, Shuai, Clinchant, Stéphane and Nikoulina, Vassilina (2024). BERGEN: a benchmarking library for retrieval-augmented generation. 2024 Conference on Empirical Methods in Natural Language Processing, Miami, FL, United States, 12 - 16 November 2024. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2024.findings-emnlp.449
2023
Conference Publication
Generating natural language queries for more effective systematic review screening prioritisation
Wang, Shuai, Scells, Harrisen, Koopman, Bevan, Potthast, Martin and Zuccon, Guido (2023). Generating natural language queries for more effective systematic review screening prioritisation. SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Beijing, China, 26 - 28 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3624918.3625322
2023
Conference Publication
Balanced topic aware sampling for effective dense retriever: a reproducibility study
Wang, Shuai and Zuccon, Guido (2023). Balanced topic aware sampling for effective dense retriever: a reproducibility study. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3591915
2023
Conference Publication
Can ChatGPT write a good Boolean query for systematic review literature search?
Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2023). Can ChatGPT write a good Boolean query for systematic review literature search?. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3591703
2023
Conference Publication
MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query construction
Wang, Shuai, Li, Hang and Zuccon, Guido (2023). MeSH suggester: a library and system for MeSH term suggestion for systematic review Boolean query construction. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3573025
2022
Conference Publication
Neural rankers for effective screening prioritisation in medical systematic review literature search
Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2022). Neural rankers for effective screening prioritisation in medical systematic review literature search. 26th Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3572960.3572980
2022
Journal Article
Automated MeSH term suggestion for effective query formulation in systematic reviews literature search
Wang, Shuai, Scells, Harrisen, Koopman, Bevan and Zuccon, Guido (2022). Automated MeSH term suggestion for effective query formulation in systematic reviews literature search. Intelligent Systems with Applications, 16 200141, 1-14. doi: 10.1016/j.iswa.2022.200141
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
From little things big things grow: a collection with seed studies for medical systematic review literature search
Wang, Shuai, Scells, Harrisen, Clark, Justin, Koopman, Bevan and Zuccon, Guido (2022). From little things big things grow: a collection with seed studies for medical systematic review literature search. 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: 10.1145/3477495.3531748
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
Supervision
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