Howdy! I’m Shuai Wang, a PhD student who’s been swimming in the deep end of academia for what feels like forever. I’m under the eagle eyes of Professor. Guido Zuccon, A.Professor. Bevan Koopman, and Dr. Harrisen Scells (in Germany but still manages to keep tabs on me).
I snagged my Bachelor of Science degree from the University of Western Australia in 2019, then rolled the dice (not really, but it sounds cooler) and leveled up with a Master of Engineering Science degree from the University of Queensland in 2021.
Now, I am in the final-year(3rd-year) of my PhD, exploring the wilds of information retrieval, natural language processing (NLP), and machine learning like a data-loving Indiana Jones. I’m also eyeing security and CV, but I’m still figuring out if I’m ready to dive into that pool.
I’m currently working on automation for medical systematic reviews, where I have been currently focused on the development of Automatic Mesh Term Suggestion, Screening Prioritisation, Seed-drievn methods and Boolean query formulation.
I also moonlight as a tutor at UQ, teaching courses like INFS7410 (information retrieval and web search). I’m not in it for the cash, but for the chance to scout for other brainiacs to collaborate with. So, if you’re interested, let’s chat and see if we can cook up some research magic together (and yes, you’ll get first author credit if we hit the jackpot).
Internship
I’m currently conducting my internship at Naver Lab Europe, with research focus on Large Language Models.
News
Three papers Accepted in SIGIR2024
[Resource Paper]: FeB4RAG; [Short Paper]: LLM for stemming; [Perspective Paper]: Evaluating ad-hoc generative IR;
Paper Presentation at ECIR, Glasgow
Presented a paper Zero-shot Zero-shot Generative Large Language Models for Systematic Review Screening Automation.
Internship at Naver Labs Europe
From 29th of Feb, 2024, I will start my internship at Naver Labs Europe in Grenoble for 4 months, investigating on Large Language Models
One Full Paper (Findings) Accepted in ECIR2024
[Full Paper]: Zero-shot Generative Large Language Models for Systematic Review Screening Automation has been accepted to ECIR 2024.
Present Paper at SIGIR-AP, Melbourne Satelite
Presented a paper LLM-driven Boolean-based screening prioritisation at SIGIR-AP 2023.
Presentations at SIGIR 2023
Due to my entry permit to Taiwan got rejected, my supervisor Professor Guido Zuccon will present our two papers instead at the SIGIR 2023 conference in person.
SIGIR 2023 Student Travel Grant
I am grateful to SIGIR for awarding me a student travel grant of USD 1125 and a complimentary conference registration to attend the SIGIR 2023 conference
Two Papers Accepted at SIGIR 2023
[Full Paper]: Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?; and [Reproducibility Paper]: Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study have been accepted to SIGIR 2023.
Read moreResearch Visit at Leipzig University
Visiting Leipzig University for two months to collaborate on research projects related to systematic review automation and complex medicine-based question-answering.
Read morePoster Presentations at WSDM 2023, Singapore
Presented a demo poster on MeSH Term suggestion at the WSDM 2023 conference in Singapore.
Read morePresentations at ADCS 2022, Adelaide, Australia
Presented a paper on using neural ranker in systematic review screening at the ADCS 2022 conference in Adelaide, Australia.
Read morePoster Presentations at SIGIR 2022, Madrid, Spain
Presented two posters at the SIGIR 2022 conference in Madrid, Spain.
Read morePresent Paper at ECIR 2022, Online
Presented a paper on reproducibility of Seed-driven document ranking in systematic review at the ECIR 2022 conference.
Read morePresent Paper at ADCS 2021, Online, Received Best Student Paper Award
Presented a paper on MeSH Term suggestion and received the Best Student Paper Award.
Read moreStarted PhD program at The University of Queensland
Began a PhD program in information retrieval and natural language processing at The University of Queensland.
Present Paper at ICTIR 2021, Online
Presented a paper online interpolation of DR and BM25 at the ICTIR 2021 conference.
Services
I serve as a reviewer/PC member for the following journal/conference:
- TOIS: ACM Transactions on Information Systems
- Journal of Data and Information Quality
- ACM ICTIR 2023, SIGIR2024
Publications
Zero-shot Generative Large Language Models for Systematic Review Screening Automation Long
Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman and Guido Zuccon. 2023. Zero-shot Generative Large Language Models for Systematic Review Screening Automation. In Proceedings of the 46th European Conference on Information Retrieval (ECIR 2024).
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation Long
Shuai Wang, Harrisen Scells, Martin Potthast, Bevan Koopman and Guido Zuccon. 2023. Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. In Proceedings of the international ACM SIGIR Conference on Information Retrieval in the Asia Pacific November 26-29, 2023 (SIGIR-AP 2023).
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? Long
Shuai Wang, Harrisen Scells, Bevan Koopman and Guido Zuccon. 2023. Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study Reproduce
Shuai Wang, and Guido Zuccon. 2023. Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction Short
Shuai Wang and Hang Li and Guido Zuccon. 2023. MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. In the 16th Web Search and Data Mining Conference WSDM 2023.
Neural Rankers for Effective Screening Prioritization in Medical Systematic Review Literature Search Long
Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2022. Neural Rankers for Effective Screening Prioritization in Medical Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2022).
Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search Journal
Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2022. Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search. In Intelligent Systems with Applications (ISWA) Technology-Assisted Review Systems Special Issue.
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers Short
Hang Li and Shuai Wang and Shengyao Zhuang and Ahmed Mourad and xueguang-ma and jimmy-lin and Guido Zuccon. 2022. To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search Long
Shuai Wang and Harry Scells and Justin Clark and Guido Zuccon and Bevan Koopman. 2022. From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
SDR for Systematic Reviews: A Reproducibility Study Reproduce
Shuai Wang and Harry Scells and Ahmed Mourad and Guido Zuccon. 2022. SDR for Systematic Reviews: A Reproducibility Study. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022).
MeSH Term Suggestion for Systematic Review Literature Search Long
Shuai Wang and Hang Li and Harry Scells and Daniel Locke and Guido Zuccon. 2021. MeSH Term Suggestion for Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2021).
IELAB at TREC Deep Learning Track 2021 Notebook
Shengyao Zhuang and Hang Li and Shuai Wang and Guido Zuccon. 2021. IELAB at TREC Deep Learning Track 2021. In TREC 2021 Deep Learning Track.
BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval Short
Shuai Wang and Shengyao Zhuang and Guido Zuccon. 2021. BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. In The Proceedings of the 2021 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2021).