Dr Shuai Wang

About

Shuai Wang is a Research Fellow at ielab, The University of Queensland, working on AI-powered search. He builds systems that find information and answer questions, using large language models and retrieval-augmented generation (RAG), and he focuses on making those systems faster and cheaper to run. His broader research contributions span federated search optimization and improving model efficiency in IR and retrieval-augmented generation (RAG) applications. His work has been published at premier venues including SIGIR, ECIR, WSDM, and EMNLP. He has served on program committees for SIGIR, ECIR, ICTIR, and TOIS. A lot of his work comes back to one practical question: how do we get good search and reliable answers without depending on expensive, closed commercial AI?

Education

• PhD, The University of Queensland (2021–2025)
• Master's degree, The University of Queensland (2020–2021)
• Bachelor's degree, The University of Western Australia (2017–2019)