Overview
Availability
- Dr Xinyu Mao is:
- Available for supervision
Qualifications
- Bachelor, Shanghai Ocean University (上海海洋大學)
- Bachelor of English Language and Literature, Shanghai Ocean University
- Masters (Coursework) of Data Science, The University of Queensland
- Doctor of Philosophy of Computer Science, The University of Queensland
Works
Search Professor Xinyu Mao’s works on UQ eSpace
2026
Other Outputs
AI-driven approaches for effective systematic review literature screening
Mao, Xinyu (2026). AI-driven approaches for effective systematic review literature screening. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/01498af
2025
Conference Publication
AiReview: An open platform for accelerating systematic reviews with LLMs
Mao, Xinyu, Leelanupab, Teerapong, Potthast, Martin, Scells, Harrisen and Zuccon, Guido (2025). AiReview: An open platform for accelerating systematic reviews with LLMs. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730133
2025
Conference Publication
DenseReviewer: A Screening Prioritisation Tool for Systematic Review Based on Dense Retrieval
Mao, Xinyu, Leelanupab, Teerapong, Scells, Harrisen and Zuccon, Guido (2025). DenseReviewer: A Screening Prioritisation Tool for Systematic Review Based on Dense Retrieval. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6-10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88720-8_11
2024
Conference Publication
Dense retrieval with continuous explicit feedback for systematic review screening prioritisation
Mao, Xinyu, Zhuang, Shengyao, Koopman, Bevan and Zuccon, Guido (2024). Dense retrieval with continuous explicit feedback for systematic review screening prioritisation. 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: Association for Computing Machinery. doi: 10.1145/3626772.3657921
2024
Conference Publication
A reproducibility study of goldilocks: just-right tuning of BERT for TAR
Mao, Xinyu, Koopman, Bevan and Zuccon, Guido (2024). A reproducibility study of goldilocks: just-right tuning of BERT for TAR. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24-28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56066-8_13
2023
Book Chapter
Preserving the privacy and cybersecurity of home energy data
Bean, Richard, Zhang, Yanjun, Ko, Ryan K. L., Mao, Xinyu and Bai, Guangdong (2023). Preserving the privacy and cybersecurity of home energy data. Emerging trends in cybersecurity applications. (pp. 323-343) edited by Kevin Daimi, Abeer Alsadoon, Cathryn Peoples and Nour El Madhoun. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-09640-2_14
2022
Conference Publication
Robustness of neural rankers to typos: a comparative study
Zhuang, Shengyao, Mao, Xinyu and Zuccon, Guido (2022). Robustness of neural rankers to typos: a comparative study. 26th Australasian Document Computing Symposium, Adelaide, SA, Australia, 15-16 December 2022. New York, NY, United States: ACM. doi: 10.1145/3572960.3572981
Funding
Past funding
Supervision
Availability
- Dr Xinyu Mao is:
- Available for supervision
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Media
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