Howdy! I’m Shuai Wang, a third-year 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.

I received my Bachelor of Science degree from the University of Western Australia in 2019, then obtained a Master of Engineering Science degree from the University of Queensland in 2021.

My research is strongly related to information retrieval and natural language processing (NLP). My PhD topic focuses on domain-specific applications (automation for medical systematic reviews), where I have been currently focused on the development of Automatic Mesh Term Suggestion, Screening Prioritisation, Seed-driven methods and Boolean query formulation. I also do some side projects on general IR and NLP tasks, such as Federated RAG, Fusion of Rankers etc.

I’m also 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!

Currently, I’m doing my internship at Naver Lab Europe, with a research focus on Retrieval-augmented generation (RAG) and Large Language Models.

Job Opportunities

I’m expected to graduate at the end of 2024, and I’m casually looking for job opportunities in academia and industry. If you think I’m a good fit for your team, please feel free to contact me.


    March 26, 2024

    Three papers Accepted in SIGIR2024

    [Resource Paper]: FeB4RAG; [Short Paper]: LLM for stemming; [Perspective Paper]: Evaluating ad-hoc generative IR;

    March 25, 2024

    Paper Presentation at ECIR, Glasgow

    Presented a paper Zero-shot Zero-shot Generative Large Language Models for Systematic Review Screening Automation.

    February 29, 2024

    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

    Read all news


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