Xinyu Mao@UQ
Hi, I’m a third-year PhD student from IELab at the University of Queensland (UQ), supervised by Professor. Guido Zuccon, A.Professor. Bevan Koopman, and Dr. Harrisen Scells.
I received a Master of Data Science from the University of Queensland in 2021. Before that, I obtained a Bachelor of Engineering and a Bachelor of Arts from Shanghai Ocean University in 2019.
My research focuses on Information Retrieval (IR), and my PhD topic is domain-specific: Automation of Medical Systematic Review. I have been working on Screening Prioritisation, and currently focus on Boolean Query Performance Prediction. I’m also interested in general IR topics, such as Ranker Robustness. Prior to my PhD, I had research experience in Cybersecurity, investigating the application of Homomorphic Encryption.
I tutor at UQ for DATA7001: Introduction to Data Science (2023) and INFS7410: Information Retrieval and Web Search (2023, 2024).
News
Poster Presentation at SIGIR 2024, Washington D.C, USA
Presented a poster at the SIGIR 2024 conference in Washington D.C, USA.
Read moreOne paper (Short) Accepted at SIGIR 2024
[Short Paper]: Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation
Present Paper at ECIR 2024, Glasgow, Scotland
Presented a paper on reproducibility of BERT-based TAR in systematic review at the ECIR 2024 conference.
Read moreServices
I serve as a reviewer/PC member for the following conferences:
- ACM ICTIR 2023
Publications
Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation
Xinyu Mao, Shengyao Zhuang, Bevan Koopman and Guido Zuccon. 2024. Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024).
A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR
Xinyu Mao, Bevan Koopman and Guido Zuccon. 2024. A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. In Proceedings of the 46th European Conference on Information Retrieval (ECIR 2024).
Robustness of Neural Rankers to Typos: A Comparative Study
Shengyao Zhuang, Xinyu Mao and Guido Zuccon. 2022. Robustness of Neural Rankers to Typos: A Comparative Study. In Proceedings of the 26th Australasian Document Computing Symposium (ADCS 2022).
Preserving the Privacy and Cybersecurity of Home Energy Data
Richard Bean, Yanjun Zhang, Ryan KL Ko, Xinyu Mao and Guangdong Bai. 2023. Preserving the Privacy and Cybersecurity of Home Energy Data. Emerging Trends in Cybersecurity Applications. Springer.